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multimodal data lab supplying video, audio, image and interaction datasets, evaluation sets and environments to AI labs. Pricing on request.\"\u003e\n\u003cdiv class=\"hero\"\u003e\u003cdiv class=\"hero-grid\"\u003e\n\u003cdiv\u003e\n\u003cdiv class=\"hero-head\"\u003e\n\u003cdiv class=\"logo-tile\"\u003e\u003cimg src=\"https:\/\/sieve.ai\/logo-black-text.svg\" alt=\"Sieve logo\" itemprop=\"image\" loading=\"lazy\"\u003e\u003c\/div\u003e\n\u003cdiv class=\"name-block\"\u003e\n\u003cspan class=\"eyebrow\"\u003e\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cpath d=\"m12 3-1.9 5.8a2 2 0 0 1-1.3 1.3L3 12l5.8 1.9a2 2 0 0 1 1.3 1.3L12 21l1.9-5.8a2 2 0 0 1 1.3-1.3L21 12l-5.8-1.9a2 2 0 0 1-1.3-1.3Z\"\u003e\u003c\/path\u003e\u003c\/svg\u003e Data Labeling · Dataset Marketplaces\u003c\/span\u003e\u003ch1 class=\"title\" itemprop=\"name\"\u003eSieve\u003c\/h1\u003e\n\u003cp class=\"lede justify\" itemprop=\"description\"\u003eSieve is a multimodal data lab that sources, filters, indexes and annotates video, audio, image and interaction data, then delivers \u003cb\u003etraining-ready datasets\u003c\/b\u003e, evaluation sets and environments to frontier AI labs under negotiated purchase agreements.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"badge-row\"\u003e\n\u003cspan class=\"badge ok\"\u003e\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003ccircle cx=\"12\" cy=\"12\" r=\"10\"\u003e\u003c\/circle\u003e\u003cpath d=\"m9 12 2 2 4-4\"\u003e\u003c\/path\u003e\u003c\/svg\u003e Active\u003c\/span\u003e\u003cspan class=\"badge\"\u003e\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cpolyline points=\"22 7 13.5 15.5 8.5 10.5 2 17\"\u003e\u003c\/polyline\u003e\u003cpolyline points=\"16 7 22 7 22 13\"\u003e\u003c\/polyline\u003e\u003c\/svg\u003e Contact Sales\u003c\/span\u003e\u003cspan class=\"badge\"\u003e\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cpath d=\"M6.3 20.3a2.4 2.4 0 0 0 3.4 0L12 18l-6-6-2.3 2.3a2.4 2.4 0 0 0 0 3.4Z\"\u003e\u003c\/path\u003e\u003cpath d=\"m2 22 3-3\"\u003e\u003c\/path\u003e\u003cpath d=\"M7.5 13.5 10 11\"\u003e\u003c\/path\u003e\u003cpath d=\"M10.5 16.5 13 14\"\u003e\u003c\/path\u003e\u003cpath d=\"m18 3-4 4h6l-4 4\"\u003e\u003c\/path\u003e\u003c\/svg\u003e No public API\u003c\/span\u003e\u003cspan class=\"badge\"\u003e\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cpath d=\"M16 21v-2a4 4 0 0 0-4-4H6a4 4 0 0 0-4 4v2\"\u003e\u003c\/path\u003e\u003ccircle cx=\"9\" cy=\"7\" r=\"4\"\u003e\u003c\/circle\u003e\u003cpolyline points=\"16 11 18 13 22 9\"\u003e\u003c\/polyline\u003e\u003c\/svg\u003e 18+\u003c\/span\u003e\u003cspan class=\"badge brand\"\u003e\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003ccircle cx=\"12\" cy=\"12\" r=\"10\"\u003e\u003c\/circle\u003e\u003cpath d=\"m9 12 2 2 4-4\"\u003e\u003c\/path\u003e\u003c\/svg\u003e Verified by Guidaio\u003c\/span\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"tbd-row\"\u003e\n\u003cdiv\u003e\n\u003cdiv class=\"label\"\u003eCategories\u003c\/div\u003e\n\u003cdiv class=\"chip-row\"\u003e\n\u003ca class=\"chip cat\" href=\"\/collections\/data-labeling\"\u003eData Labeling\u003c\/a\u003e\u003ca class=\"chip cat\" href=\"\/collections\/dataset-marketplaces\"\u003eDataset Marketplaces\u003c\/a\u003e\u003ca class=\"chip cat\" href=\"\/collections\/data-cleaning\"\u003eData Cleaning\u003c\/a\u003e\u003ca class=\"chip cat\" href=\"\/collections\/data-governance-quality\"\u003eData Governance Quality\u003c\/a\u003e\u003ca class=\"chip cat\" href=\"\/collections\/synthetic-data\"\u003eSynthetic Data\u003c\/a\u003e\u003ca class=\"chip cat\" href=\"\/collections\/evaluation-benchmarks\"\u003eEvaluation Benchmarks\u003c\/a\u003e\u003ca class=\"chip cat\" href=\"\/collections\/fine-tuning\"\u003eFine Tuning\u003c\/a\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cdiv class=\"label\"\u003eTarget domains\u003c\/div\u003e\n\u003cdiv class=\"chip-row\"\u003e\n\u003ca class=\"chip dom\" href=\"\/collections\/data-ai\"\u003eData Ai\u003c\/a\u003e\u003ca class=\"chip dom\" href=\"\/collections\/it-software\"\u003eIt Software\u003c\/a\u003e\u003ca class=\"chip dom\" href=\"\/collections\/science-r-d\"\u003eScience R D\u003c\/a\u003e\u003ca class=\"chip dom\" href=\"\/collections\/film-tv-video\"\u003eFilm Tv Video\u003c\/a\u003e\u003ca class=\"chip dom\" href=\"\/collections\/arts-entertainment\"\u003eArts Entertainment\u003c\/a\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"cta-row\"\u003e\u003ca class=\"btn btn-primary\" href=\"https:\/\/sieve.ai\/\" target=\"_blank\" rel=\"noopener\"\u003e\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"16\" height=\"16\"\u003e\u003cpath d=\"M15 3h6v6\"\u003e\u003c\/path\u003e\u003cpath d=\"M10 14 21 3\"\u003e\u003c\/path\u003e\u003cpath d=\"M18 13v6a2 2 0 0 1-2 2H5a2 2 0 0 1-2-2V8a2 2 0 0 1 2-2h6\"\u003e\u003c\/path\u003e\u003c\/svg\u003e Visit the Sieve website\u003c\/a\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003caside class=\"snapshot\"\u003e\u003ch3\u003eSnapshot\u003c\/h3\u003e\n\u003cdl\u003e\n\u003cdiv class=\"row\"\u003e\n\u003cdt\u003ePricing model\u003c\/dt\u003e\n\u003cdd\u003eContact Sales\u003c\/dd\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"row\"\u003e\n\u003cdt\u003eAPI available\u003c\/dt\u003e\n\u003cdd\u003eNo\u003c\/dd\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"row\"\u003e\n\u003cdt\u003eDeployment\u003c\/dt\u003e\n\u003cdd\u003eWeb app\u003c\/dd\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"row\"\u003e\n\u003cdt\u003eTool status\u003c\/dt\u003e\n\u003cdd\u003eActive\u003c\/dd\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"row\"\u003e\n\u003cdt\u003eMinimum age\u003c\/dt\u003e\n\u003cdd\u003e18+\u003c\/dd\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"row\"\u003e\n\u003cdt\u003eCountry of origin\u003c\/dt\u003e\n\u003cdd\u003e🇺🇸 United States\u003c\/dd\u003e\n\u003c\/div\u003e\n\u003c\/dl\u003e\u003c\/aside\u003e\n\u003c\/div\u003e\u003c\/div\u003e\n\u003cnav class=\"toc\" aria-label=\"Page sections\"\u003e\u003ca href=\"#what\"\u003eWhat is it\u003c\/a\u003e\u003ca href=\"#bestnot\"\u003eWhen to use Sieve \/ When not to\u003c\/a\u003e\u003ca href=\"#how\"\u003eHow to use\u003c\/a\u003e\u003ca href=\"#proscons\"\u003ePros \u0026amp; Cons\u003c\/a\u003e\u003ca href=\"#pricing\"\u003ePricing\u003c\/a\u003e\u003ca href=\"#trust\"\u003eTrust \u0026amp; Privacy\u003c\/a\u003e\u003ca href=\"#watch\"\u003eWatch-outs\u003c\/a\u003e\u003ca href=\"#setup\"\u003eSetup \u0026amp; Integrations\u003c\/a\u003e\u003ca href=\"#company\"\u003eCompany\u003c\/a\u003e\u003ca href=\"#resources\"\u003eResources\u003c\/a\u003e\u003ca href=\"#faq\"\u003eFAQ\u003c\/a\u003e\u003ca href=\"#conclusion\"\u003eConclusion\u003c\/a\u003e\u003c\/nav\u003e\n\u003csection class=\"block\" id=\"what\"\u003e\u003cdiv class=\"head\"\u003e\n\u003cspan class=\"eyebrow\"\u003eOverview\u003c\/span\u003e\u003ch2\u003eWhat is Sieve?\u003c\/h2\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"grid-2\"\u003e\n\u003cdiv class=\"rich justify\"\u003e\n\u003cp\u003eSieve is a multimodal data lab: it builds and sells the training corpora that frontier AI labs, Fortune 100 companies and fast-growing AI startups use to teach models how the world looks, sounds and moves. The company describes its own pipeline in five stages, namely source, filter, index, annotate and deliver. It captures and aggregates material across real-world, digital and simulated environments; scores it for semantics, rights, artefacts and task quality; indexes billions of videos, images, audio clips and interaction traces with purpose-built detectors and embeddings; adds dense labels, pairings, temporal alignment, transcripts, action metadata and human QA; then packages training-ready datasets, evaluation sets and environments for secure delivery.\u003c\/p\u003e\n\u003cp\u003eThree families sit on the homepage: \u003cb\u003ehigh-quality video\u003c\/b\u003e, meaning coherent scenes with clean motion, composition, physics and storytelling; \u003cb\u003eediting pairs\u003c\/b\u003e, before-and-after media for controlled generation and editing; and \u003cb\u003eaudio-visual data\u003c\/b\u003e, synchronised video, image, speech, music and sound. Scale is the argument. Sieve says it operates on hundreds of petabytes of video, collects millions of hours of new content every month, and has embedded one billion videos into 41 billion queryable vectors. Supply is built proactively through a contributor platform and data partnerships rather than assembled request by request, which is what lets pre-packaged datasets ship within days.\u003c\/p\u003e\n\u003cp\u003eThe approach is deliberately software-first. Quality control runs in layers: contributors are qualified before onboarding, new sources ramp in a controlled way, automated validation runs through capture, upload and processing, and every asset ends with human review whose outputs feed back into Sieve's own QA models. Roughly 75% of the company works in research and engineering.\u003c\/p\u003e\n\u003cp\u003e\u003ci\u003eThis is not the product Sieve started with.\u003c\/i\u003e Until early 2025 it sold an API platform for video understanding and editing, covering auto-resizing, translation, scene detection, object tracking and speaker tracking. In a March 2026 post, co-founder Mokshith Voodarla explained the pivot: customers were using those APIs as annotation systems, and model progress looked likely to make the API products obsolete within one to two years. Downstream work today spans generative media, visual understanding, robotics, world models, computer use and agentic systems. There is no self-serve access.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv\u003e\n\u003ch3 style=\"font-size:14px;margin-bottom:12px;color:var(--gv3-brand-ink);text-transform:uppercase;letter-spacing:.08em\"\u003eWhat it does\u003c\/h3\u003e\n\u003cul class=\"brand-list\"\u003e\n\u003cli\u003eSupply training-ready multimodal datasets at petabyte scale\u003c\/li\u003e\n\u003cli\u003eSource video, audio, image and interaction data from real, digital and simulated environments\u003c\/li\u003e\n\u003cli\u003eFilter footage on semantics, rights, artefacts and task quality\u003c\/li\u003e\n\u003cli\u003eIndex billions of clips with purpose-built detectors and embeddings\u003c\/li\u003e\n\u003cli\u003eAnnotate with captions, transcripts, object labels, action metadata and temporal alignment\u003c\/li\u003e\n\u003cli\u003eDeliver evaluation sets and interactive environments for testing models\u003c\/li\u003e\n\u003cli\u003eRun custom collection programmes targeting specific model capabilities\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\u003c\/section\u003e\n\u003csection class=\"block soft\" id=\"bestnot\"\u003e\u003cdiv class=\"head\"\u003e\n\u003cspan class=\"eyebrow\"\u003eAudience\u003c\/span\u003e\u003ch2\u003eWhen to use Sieve \/ When not to\u003c\/h2\u003e\n\u003cp class=\"lead\"\u003eA quick filter to help you decide if Sieve is the right fit.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"bestnot\"\u003e\n\u003cdiv class=\"card for\"\u003e\n\u003ch3\u003e\n\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"16\" height=\"16\"\u003e\u003cpath d=\"M7 10v12\"\u003e\u003c\/path\u003e\u003cpath d=\"M15 5.88 14 10h5.83a2 2 0 0 1 1.92 2.56l-2.33 8A2 2 0 0 1 17.5 22H4a2 2 0 0 1-2-2v-8a2 2 0 0 1 2-2h2.76a2 2 0 0 0 1.79-1.11L12 2a3.13 3.13 0 0 1 3 3.88Z\"\u003e\u003c\/path\u003e\u003c\/svg\u003e When to use Sieve\u003c\/h3\u003e\n\u003cul class=\"brand-list\"\u003e\n\u003cli\u003eResearch teams training multimodal models whose bottleneck is data rather than compute\u003c\/li\u003e\n\u003cli\u003eAI labs that need evaluation sets and interactive environments alongside training corpora\u003c\/li\u003e\n\u003cli\u003eRobotics, world-model and computer-use teams needing captured real, digital and simulated footage\u003c\/li\u003e\n\u003cli\u003eEnterprises with strict rights requirements, where licensing, consent and permissions must be filtered in\u003c\/li\u003e\n\u003cli\u003eBuyers operating at petabyte scale, where manual collection and human review are simply not feasible\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"card not\"\u003e\n\u003ch3\u003e\n\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"16\" height=\"16\"\u003e\u003cpath d=\"M17 14V2\"\u003e\u003c\/path\u003e\u003cpath d=\"M9 18.12 10 14H4.17a2 2 0 0 1-1.92-2.56l2.33-8A2 2 0 0 1 6.5 2H20a2 2 0 0 1 2 2v8a2 2 0 0 1-2 2h-2.76a2 2 0 0 0-1.79 1.11L12 22a3.13 3.13 0 0 1-3-3.88Z\"\u003e\u003c\/path\u003e\u003c\/svg\u003e When not to use Sieve\u003c\/h3\u003e\n\u003cul class=\"brand-list\"\u003e\n\u003cli\u003eIndividuals or small teams wanting a self-serve tool: there is no sign-up, no trial and no published price\u003c\/li\u003e\n\u003cli\u003eDevelopers looking for a video processing API, which Sieve retired along with its documentation\u003c\/li\u003e\n\u003cli\u003eAnyone who needs to budget upfront, since every engagement runs through a negotiated purchase agreement\u003c\/li\u003e\n\u003cli\u003eEuropean buyers requiring a DPA, an Article 27 representative or a named subprocessor list before signing\u003c\/li\u003e\n\u003cli\u003eTeams expecting to browse and download a catalogue themselves, as the Browse Datasets button leads nowhere\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\u003c\/section\u003e\n\u003csection class=\"block soft\" id=\"how\"\u003e\u003cdiv class=\"head\"\u003e\n\u003cspan class=\"eyebrow\"\u003eGet started\u003c\/span\u003e\u003ch2\u003eHow to use Sieve\u003c\/h2\u003e\n\u003cp class=\"lead\"\u003eA typical end-to-end flow, from setup to results.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003col class=\"steps\"\u003e\n\u003cli\u003eOpen the contact form on the Sieve site; there is no account to create and nothing to install\u003c\/li\u003e\n\u003cli\u003eDescribe what your research team needs, or ask which ready-to-use datasets already exist\u003c\/li\u003e\n\u003cli\u003eRequest samples across video, audio, image, computer use or interactive environments\u003c\/li\u003e\n\u003cli\u003eReview those samples against your model's failure modes, distributions and evaluation goals\u003c\/li\u003e\n\u003cli\u003eScope the dataset or environment with Sieve's team: volume, distributions, metadata, licensing, QA and delivery format\u003c\/li\u003e\n\u003cli\u003eAgree a purchase agreement priced on data volume, task complexity and annotation depth\u003c\/li\u003e\n\u003cli\u003eTake delivery, with pre-packaged datasets arriving within days and custom work following an agreed SLA\u003c\/li\u003e\n\u003cli\u003eReceive the material over encrypted secure transfer, under the retention window you negotiated\u003c\/li\u003e\n\u003c\/ol\u003e\u003c\/section\u003e\n\u003csection class=\"block\" id=\"proscons\"\u003e\u003cdiv class=\"head\"\u003e\n\u003cspan class=\"eyebrow\"\u003eQuick read\u003c\/span\u003e\u003ch2\u003ePros \u0026amp; Cons\u003c\/h2\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"grid-2\"\u003e\n\u003cdiv class=\"pc pros\"\u003e\n\u003ch3\u003e\n\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003ccircle cx=\"12\" cy=\"12\" r=\"10\"\u003e\u003c\/circle\u003e\u003cpath d=\"m9 12 2 2 4-4\"\u003e\u003c\/path\u003e\u003c\/svg\u003e Pros\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cpolyline points=\"20 6 9 17 4 12\"\u003e\u003c\/polyline\u003e\u003c\/svg\u003e \u003cspan\u003eScale very few suppliers can match: hundreds of petabytes, millions of new hours ingested each month\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cpolyline points=\"20 6 9 17 4 12\"\u003e\u003c\/polyline\u003e\u003c\/svg\u003e \u003cspan\u003eRights, licensing and consent are handled inside the filtering rather than bolted on afterwards\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cpolyline points=\"20 6 9 17 4 12\"\u003e\u003c\/polyline\u003e\u003c\/svg\u003e \u003cspan\u003eSOC 2 Type 2 controls, end-to-end encryption and negotiable retention on delivery\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cpolyline points=\"20 6 9 17 4 12\"\u003e\u003c\/polyline\u003e\u003c\/svg\u003e \u003cspan\u003eInventory built in advance means catalogue datasets can ship in days rather than months\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cpolyline points=\"20 6 9 17 4 12\"\u003e\u003c\/polyline\u003e\u003c\/svg\u003e \u003cspan\u003eEvaluation sets and interactive environments are delivered alongside training data\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cpolyline points=\"20 6 9 17 4 12\"\u003e\u003c\/polyline\u003e\u003c\/svg\u003e \u003cspan\u003eEngineering-dense team, around 75% in research and engineering, with stated backgrounds at NVIDIA, Scale AI, Zoox and Niantic\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cpolyline points=\"20 6 9 17 4 12\"\u003e\u003c\/polyline\u003e\u003c\/svg\u003e \u003cspan\u003eInstitutional backers named openly: Y Combinator, Swift Ventures, Matrix Partners and AI Grant\u003c\/span\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"pc cons\"\u003e\n\u003ch3\u003e\n\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"16\" height=\"16\"\u003e\u003ccircle cx=\"12\" cy=\"12\" r=\"10\"\u003e\u003c\/circle\u003e\u003cline x1=\"4.93\" y1=\"4.93\" x2=\"19.07\" y2=\"19.07\"\u003e\u003c\/line\u003e\u003c\/svg\u003e Cons\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cline x1=\"18\" y1=\"6\" x2=\"6\" y2=\"18\"\u003e\u003c\/line\u003e\u003cline x1=\"6\" y1=\"6\" x2=\"18\" y2=\"18\"\u003e\u003c\/line\u003e\u003c\/svg\u003e \u003cspan\u003eNo published pricing of any kind, not even an order of magnitude\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cline x1=\"18\" y1=\"6\" x2=\"6\" y2=\"18\"\u003e\u003c\/line\u003e\u003cline x1=\"6\" y1=\"6\" x2=\"18\" y2=\"18\"\u003e\u003c\/line\u003e\u003c\/svg\u003e \u003cspan\u003eNo terms of service: the privacy policy is the only contractual document on the site\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cline x1=\"18\" y1=\"6\" x2=\"6\" y2=\"18\"\u003e\u003c\/line\u003e\u003cline x1=\"6\" y1=\"6\" x2=\"18\" y2=\"18\"\u003e\u003c\/line\u003e\u003c\/svg\u003e \u003cspan\u003eGDPR is never mentioned, and there is no DPA, no Article 27 representative and no named subprocessor list\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cline x1=\"18\" y1=\"6\" x2=\"6\" y2=\"18\"\u003e\u003c\/line\u003e\u003cline x1=\"6\" y1=\"6\" x2=\"18\" y2=\"18\"\u003e\u003c\/line\u003e\u003c\/svg\u003e \u003cspan\u003eThe privacy policy points to a full policy document that is never linked anywhere\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cline x1=\"18\" y1=\"6\" x2=\"6\" y2=\"18\"\u003e\u003c\/line\u003e\u003cline x1=\"6\" y1=\"6\" x2=\"18\" y2=\"18\"\u003e\u003c\/line\u003e\u003c\/svg\u003e \u003cspan\u003eA six-page site, two of whose pages render almost nothing without JavaScript\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cline x1=\"18\" y1=\"6\" x2=\"6\" y2=\"18\"\u003e\u003c\/line\u003e\u003cline x1=\"6\" y1=\"6\" x2=\"18\" y2=\"18\"\u003e\u003c\/line\u003e\u003c\/svg\u003e \u003cspan\u003eNo postal address and no phone number; contact is a form plus a single support mailbox\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cline x1=\"18\" y1=\"6\" x2=\"6\" y2=\"18\"\u003e\u003c\/line\u003e\u003cline x1=\"6\" y1=\"6\" x2=\"18\" y2=\"18\"\u003e\u003c\/line\u003e\u003c\/svg\u003e \u003cspan\u003eBrowse Datasets is a dead button, so there is no catalogue to browse\u003c\/span\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\u003c\/section\u003e\n\u003csection class=\"block soft\" id=\"pricing\"\u003e\u003cdiv class=\"head\"\u003e\n\u003cspan class=\"eyebrow\"\u003ePricing\u003c\/span\u003e\u003ch2\u003ePricing \u0026amp; Plans\u003c\/h2\u003e\n\u003c\/div\u003e\n\u003cp class=\"rich justify\" style=\"color:var(--gv3-ink-2);margin:0 0 18px;max-width:80ch\"\u003eSieve publishes no pricing. There is no permanent free plan and no free trial, and the site has no pricing page at all, the \/pricing path returning an error. Access is sold under a purchase agreement whose value is set by data volume, task complexity and the annotation work required, so no entry price and no currency can be quoted. The only cost-free step available is the data sample Sieve provides on request through its contact form, which is presented as an evaluation sample rather than a trial.\u003c\/p\u003e\n\u003cdiv class=\"pricing-extras\"\u003e\u003cdiv class=\"affiliate-note\"\u003ePrices and plans listed above may evolve. Always check the official pricing page before subscribing.\u003c\/div\u003e\u003c\/div\u003e\u003c\/section\u003e\n\u003csection class=\"block\" id=\"trust\"\u003e\u003cdiv class=\"head\"\u003e\n\u003cspan class=\"eyebrow\"\u003eTrust \u0026amp; Privacy\u003c\/span\u003e\u003ch2\u003eData, GDPR \u0026amp; hosting\u003c\/h2\u003e\n\u003cp class=\"lead\"\u003eA consolidated view of how Sieve handles your data.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"trust-grid\"\u003e\n\u003cdiv class=\"col\"\u003e\n\u003cdiv class=\"trust-card\"\u003e\n\u003ch3\u003eGDPR overview\u003c\/h3\u003e\n\u003cp class=\"justify\" style=\"color:var(--gv3-ink-2);margin:0\"\u003eThere is no GDPR implementation to report. The word GDPR appears nowhere on the site, neither in the privacy policy nor on any other page. The only regulatory framework Sieve addresses explicitly is the California Consumer Privacy Act, which gets a dedicated supplemental notice. The policy does list rights that look European in shape, namely access and portability, rectification, erasure, restriction and objection, and withdrawal of consent, but attaches them to no legal basis and no text. Requests go to support@sievedata.com or the contact form. International transfers to the United States or other countries are announced without naming any transfer mechanism. No Article 27 representative is designated, no data protection officer is named, and no Data Processing Agreement is published or offered.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"trust-card\"\u003e\n\u003ch3\u003eWho owns the data?\u003c\/h3\u003e\n\u003cp class=\"justify\" style=\"color:var(--gv3-ink-2);margin:0 0 12px\"\u003eSieve, Inc. declares itself the controller of the personal information covered by its privacy policy, last updated on 16 February 2026. That policy deliberately stops at the contract line: personal information Sieve processes on behalf of its Customers under written agreements falls outside it, and readers are told to contact the relevant Customer directly. Content Providers who upload footage see their material shared with the Customers who purchase the resulting datasets. Sieve states that it does not sell personal information, and its California notice confirms no sale or sharing for behavioural advertising in the preceding twelve months. No terms of service are published anywhere on the site, so ownership of delivered datasets is defined only by the individual purchase agreement.\u003c\/p\u003e\n\u003ch3\u003eReuse rights\u003c\/h3\u003e\n\u003cp class=\"justify\" style=\"color:var(--gv3-ink-2);margin:0\"\u003eNothing on the site grants a buyer any reuse right by default. Datasets are transferred under a purchase agreement whose scope, including volume, distributions, metadata, licensing, QA and delivery format, is negotiated case by case, so what a customer may do with the material is defined by that contract and not by any public licence. In the other direction Sieve reserves broad internal use of the information it collects: training and improving AI models and algorithms is listed among its declared purposes, and the company says outputs from human QA are used to train its own QA and QC models. Content uploaded by contributors is shared with the Customers who buy the datasets built from it.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"trust-card\"\u003e\n\u003ch3\u003eData retention \u0026amp; training\u003c\/h3\u003e\n\u003cdiv class=\"kv\"\u003e\n\u003cdiv class=\"k\"\u003eRetention summary\u003c\/div\u003e\n\u003cdiv class=\"v justify\"\u003eSieve gives rules but no numbers. Personal information is kept for as long as you use the Services, or for as long as it takes to fulfil the purpose it was collected for. How long that is depends on four stated factors: legal requirements, how sensitive the data is, the risk involved, and whether the same purpose could be achieved another way. No retention period is expressed in days, months or years anywhere on the site, and nothing is said about anonymisation schedules beyond a general mention of de-identifying and aggregating data as a business operation. Deletion is available on request, through support@sievedata.com or the contact form, and Sieve may verify your identity first. Separately, the homepage advertises custom data retention as part of secure delivery to customers, but gives no detail.\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"kv\"\u003e\n\u003cdiv class=\"k\"\u003eTrains on customer data\u003c\/div\u003e\n\u003cdiv class=\"v\"\u003e\u003cspan class=\"badge warn\"\u003e\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cpath d=\"M12 22s8-4 8-10V5l-8-3-8 3v7c0 6 8 10 8 10z\"\u003e\u003c\/path\u003e\u003c\/svg\u003e Yes\u003c\/span\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"col\"\u003e\u003cdiv class=\"trust-card\"\u003e\n\u003ch3\u003eHosting summary\u003c\/h3\u003e\n\u003cp class=\"justify\" style=\"color:var(--gv3-ink-2);margin:0 0 14px\"\u003eSieve names exactly one hosting jurisdiction: the United States. Its privacy policy warns that data may be transferred to, processed and stored in the United States or other countries whose data protection laws differ from the user's own, and stops there. There is no list of those other countries, no hosting provider named, and no data residency option offered. Third parties appear only as categories, one of which is hosting. No EU region is mentioned, nothing is said about where dataset material sits during processing, and there is no trust or security page beyond the homepage's claim of end-to-end encryption, custom data retention, secure transfer and SOC 2 Type 2 controls. For completeness, the website itself resolves to an IP address geolocated in the United States, but that describes the marketing site's infrastructure and says nothing about where customer or contributor data lives. A buyer with residency requirements will have to establish them contractually, because the published material does not answer the question.\u003c\/p\u003e\n\u003cdiv class=\"kv\"\u003e\n\u003cdiv class=\"k\"\u003eHosting countries\u003c\/div\u003e\n\u003cdiv class=\"v\"\u003e\u003cdiv class=\"flag-row\"\u003e\u003cspan class=\"flag\"\u003e🇺🇸 United States\u003c\/span\u003e\u003c\/div\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\u003c\/div\u003e\n\u003c\/div\u003e\u003c\/section\u003e\n\u003csection class=\"block watch\" id=\"watch\"\u003e\u003cdiv class=\"head\"\u003e\n\u003cspan class=\"eyebrow\"\u003eWatch-outs\u003c\/span\u003e\u003ch2\u003eThings to keep in mind\u003c\/h2\u003e\n\u003cp class=\"lead\"\u003eRisks and trade-offs to weigh before adopting Sieve.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cul class=\"brand-list\" style=\"grid-template-columns:repeat(2,1fr);display:grid;gap:12px 24px\"\u003e\n\u003cli\u003eThe privacy policy lists training and improving AI models among its purposes, so anything you upload may end up shaping a model\u003c\/li\u003e\n\u003cli\u003eContent Providers hand over government-issued ID, photographs and precise device geolocation, a heavy identity footprint for contribution work\u003c\/li\u003e\n\u003cli\u003eContributed material is resold to Customers, so anyone appearing in it depends entirely on consent having been collected properly upstream\u003c\/li\u003e\n\u003cli\u003eData Sieve processes for its Customers sits outside the published policy, so a buyer cannot learn from the site what their own contract permits\u003c\/li\u003e\n\u003cli\u003eWith no terms of service published, liability, indemnity and dataset warranties stay invisible until a contract is on the table\u003c\/li\u003e\n\u003cli\u003eTraining on bought-in corpora concentrates whatever bias, gaps or rights defects the source material carries, so provenance deserves independent audit rather than trust\u003c\/li\u003e\n\u003cli\u003eBuying data instead of collecting it can quietly erode a team's own grasp of its data distribution, which is exactly what debugging a model later depends on\u003c\/li\u003e\n\u003c\/ul\u003e\u003c\/section\u003e\n\u003csection class=\"block\" id=\"setup\"\u003e\u003cdiv class=\"head\"\u003e\n\u003cspan class=\"eyebrow\"\u003eSetup\u003c\/span\u003e\u003ch2\u003eSetup \u0026amp; Integrations\u003c\/h2\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"setup-grid\"\u003e\u003cdiv class=\"setup-card\"\u003e\n\u003ch3 style=\"font-size:15px;margin-bottom:10px\"\u003eTechnical difficulty\u003c\/h3\u003e\n\u003cp class=\"justify\" style=\"color:var(--gv3-ink-2);margin:0 0 14px\"\u003eThere is nothing to install and no account to open, so setup effort on Sieve's side is effectively zero: the entry point is a contact form. The work sits downstream. Delivery formats, metadata schemas and annotation structures are negotiated per engagement, and what arrives is measured in terabytes or petabytes, so the buyer needs storage, ingestion and validation pipelines already in place. Pre-packaged datasets arrive within days, while custom collections and environments follow an agreed SLA. In practice this is a procurement and data-engineering exercise rather than a software integration.\u003c\/p\u003e\n\u003ch3 style=\"font-size:15px;margin:14px 0 10px\"\u003eDeployment\u003c\/h3\u003e\n\u003cdiv class=\"flag-row\"\u003e\u003cspan class=\"flag\"\u003eWeb app\u003c\/span\u003e\u003c\/div\u003e\n\u003c\/div\u003e\u003c\/div\u003e\u003c\/section\u003e\n\u003csection class=\"block soft\" id=\"company\"\u003e\u003cdiv class=\"head\"\u003e\n\u003cspan class=\"eyebrow\"\u003eCompany\u003c\/span\u003e\u003ch2\u003eBehind Sieve\u003c\/h2\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"company-grid\"\u003e\n\u003cdiv class=\"company-card\"\u003e\n\u003cdiv class=\"kv\"\u003e\n\u003cdiv class=\"k\"\u003eCompany name\u003c\/div\u003e\n\u003cdiv class=\"v\"\u003e\u003cb\u003eSieve, Inc.\u003c\/b\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"kv\"\u003e\n\u003cdiv class=\"k\"\u003eFounded\u003c\/div\u003e\n\u003cdiv class=\"v\"\u003eINFORMATION_NOT_FOUND\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"kv\"\u003e\n\u003cdiv class=\"k\"\u003eCountry of origin\u003c\/div\u003e\n\u003cdiv class=\"v\"\u003e🇺🇸 United States\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"kv\"\u003e\n\u003cdiv class=\"k\"\u003eUBO\u003c\/div\u003e\n\u003cdiv class=\"v\"\u003eINFORMATION_NOT_FOUND\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"kv\"\u003e\n\u003cdiv class=\"k\"\u003eUBO country\u003c\/div\u003e\n\u003cdiv class=\"v\"\u003eINFORMATION_NOT_FOUND\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"kv\"\u003e\n\u003cdiv class=\"k\"\u003eDomain registrar country\u003c\/div\u003e\n\u003cdiv class=\"v\"\u003e🇺🇸 United States\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"kv\"\u003e\n\u003cdiv class=\"k\"\u003eSupport contact\u003c\/div\u003e\n\u003cdiv class=\"v\"\u003e\u003ca href=\"mailto:support@sievedata.com\"\u003esupport@sievedata.com\u003c\/a\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv style=\"display:grid;gap:14px\"\u003e\n\u003cdiv class=\"company-card\"\u003e\n\u003ch3 style=\"font-size:15px;margin-bottom:10px\"\u003eFundraising\u003c\/h3\u003e\n\u003cdiv class=\"timeline\"\u003e\n\u003cdiv class=\"ev\"\u003e\n\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cpath d=\"M4.5 16.5c-1.5 1.26-2 5-2 5s3.74-.5 5-2c.71-.84.7-2.13-.09-2.91a2.18 2.18 0 0 0-2.91-.09z\"\u003e\u003c\/path\u003e\u003cpath d=\"m12 15-3-3a22 22 0 0 1 2-3.95A12.88 12.88 0 0 1 22 2c0 2.72-.78 7.5-6 11a22.35 22.35 0 0 1-4 2z\"\u003e\u003c\/path\u003e\u003cpath d=\"M9 12H4s.55-3.03 2-4c1.62-1.08 5 0 5 0\"\u003e\u003c\/path\u003e\u003cpath d=\"M12 15v5s3.03-.55 4-2c1.08-1.62 0-5 0-5\"\u003e\u003c\/path\u003e\u003c\/svg\u003e Backed by Y Combinator, Swift Ventures, Matrix Partners (Ilya Sukhar) and AI Grant (Nat Friedman and Daniel Gross), all four named on Sieve's own About page\u003c\/div\u003e\n\u003cdiv class=\"ev\"\u003e\n\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cpath d=\"M4.5 16.5c-1.5 1.26-2 5-2 5s3.74-.5 5-2c.71-.84.7-2.13-.09-2.91a2.18 2.18 0 0 0-2.91-.09z\"\u003e\u003c\/path\u003e\u003cpath d=\"m12 15-3-3a22 22 0 0 1 2-3.95A12.88 12.88 0 0 1 22 2c0 2.72-.78 7.5-6 11a22.35 22.35 0 0 1-4 2z\"\u003e\u003c\/path\u003e\u003cpath d=\"M9 12H4s.55-3.03 2-4c1.62-1.08 5 0 5 0\"\u003e\u003c\/path\u003e\u003cpath d=\"M12 15v5s3.03-.55 4-2c1.08-1.62 0-5 0-5\"\u003e\u003c\/path\u003e\u003c\/svg\u003e A seed round of roughly USD 4 million, led by Matrix Partners, was announced in a Sieve blog post that has since been taken offline; the figure now survives only in search indexes and third-party databases\u003c\/div\u003e\n\u003cdiv class=\"ev\"\u003e\n\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cpath d=\"M4.5 16.5c-1.5 1.26-2 5-2 5s3.74-.5 5-2c.71-.84.7-2.13-.09-2.91a2.18 2.18 0 0 0-2.91-.09z\"\u003e\u003c\/path\u003e\u003cpath d=\"m12 15-3-3a22 22 0 0 1 2-3.95A12.88 12.88 0 0 1 22 2c0 2.72-.78 7.5-6 11a22.35 22.35 0 0 1-4 2z\"\u003e\u003c\/path\u003e\u003cpath d=\"M9 12H4s.55-3.03 2-4c1.62-1.08 5 0 5 0\"\u003e\u003c\/path\u003e\u003cpath d=\"M12 15v5s3.03-.55 4-2c1.08-1.62 0-5 0-5\"\u003e\u003c\/path\u003e\u003c\/svg\u003e Third-party profiles also reference a later Series A with an undisclosed amount, unconfirmed by Sieve, which publishes no round, no figure and no date on its current site\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"company-card\"\u003e\n\u003ch3 style=\"font-size:15px;margin-bottom:10px\"\u003eSocial\u003c\/h3\u003e\n\u003cdiv class=\"social-row\"\u003e\u003ca class=\"social\" href=\"https:\/\/linkedin.com\/company\/sievedata\" target=\"_blank\" rel=\"noopener\" aria-label=\"LinkedIn\"\u003e\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"18\" height=\"18\"\u003e\u003cpath d=\"M16 8a6 6 0 0 1 6 6v7h-4v-7a2 2 0 0 0-4 0v7h-4v-7a6 6 0 0 1 6-6z\"\u003e\u003c\/path\u003e\u003crect x=\"2\" y=\"9\" width=\"4\" height=\"12\"\u003e\u003c\/rect\u003e\u003ccircle cx=\"4\" cy=\"4\" r=\"2\"\u003e\u003c\/circle\u003e\u003c\/svg\u003e\u003c\/a\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\u003c\/section\u003e\n\u003csection class=\"block\" id=\"resources\"\u003e\u003cdiv class=\"head\"\u003e\n\u003cspan class=\"eyebrow\"\u003eOfficial links\u003c\/span\u003e\u003ch2\u003eResources\u003c\/h2\u003e\n\u003cp class=\"lead\"\u003eAll the official URLs gathered for verification and reference.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"res-grid\"\u003e\n\u003ca class=\"res\" href=\"https:\/\/sieve.ai\/\" target=\"_blank\" rel=\"noopener\"\u003e\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003ccircle cx=\"12\" cy=\"12\" r=\"10\"\u003e\u003c\/circle\u003e\u003cpath d=\"M12 2a14.5 14.5 0 0 0 0 20 14.5 14.5 0 0 0 0-20\"\u003e\u003c\/path\u003e\u003cpath d=\"M2 12h20\"\u003e\u003c\/path\u003e\u003c\/svg\u003e\u003cdiv class=\"res-text\"\u003e\n\u003cdiv\u003eHomepage\u003c\/div\u003e\n\u003cdiv class=\"url\"\u003esieve.ai\u003c\/div\u003e\n\u003c\/div\u003e\u003c\/a\u003e\u003ca class=\"res\" href=\"https:\/\/sieve.ai\/about\" target=\"_blank\" rel=\"noopener\"\u003e\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003ccircle cx=\"12\" cy=\"12\" r=\"10\"\u003e\u003c\/circle\u003e\u003cline x1=\"12\" y1=\"16\" x2=\"12\" y2=\"12\"\u003e\u003c\/line\u003e\u003cline x1=\"12\" y1=\"8\" x2=\"12.01\" y2=\"8\"\u003e\u003c\/line\u003e\u003c\/svg\u003e\u003cdiv class=\"res-text\"\u003e\n\u003cdiv\u003eAbout\u003c\/div\u003e\n\u003cdiv class=\"url\"\u003esieve.ai\/about\u003c\/div\u003e\n\u003c\/div\u003e\u003c\/a\u003e\u003ca class=\"res\" href=\"https:\/\/sieve.ai\/contact\" target=\"_blank\" rel=\"noopener\"\u003e\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003crect x=\"2\" y=\"4\" width=\"20\" height=\"16\" rx=\"2\"\u003e\u003c\/rect\u003e\u003cpath d=\"m22 7-10 5L2 7\"\u003e\u003c\/path\u003e\u003c\/svg\u003e\u003cdiv class=\"res-text\"\u003e\n\u003cdiv\u003eContact\u003c\/div\u003e\n\u003cdiv class=\"url\"\u003esieve.ai\/contact\u003c\/div\u003e\n\u003c\/div\u003e\u003c\/a\u003e\u003ca class=\"res\" href=\"https:\/\/sieve.ai\/privacy-policy\" target=\"_blank\" rel=\"noopener\"\u003e\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cpath d=\"M12 22s8-4 8-10V5l-8-3-8 3v7c0 6 8 10 8 10z\"\u003e\u003c\/path\u003e\u003c\/svg\u003e\u003cdiv class=\"res-text\"\u003e\n\u003cdiv\u003ePrivacy policy\u003c\/div\u003e\n\u003cdiv class=\"url\"\u003esieve.ai\/privacy-policy\u003c\/div\u003e\n\u003c\/div\u003e\u003c\/a\u003e\n\u003c\/div\u003e\u003c\/section\u003e\n\u003csection class=\"block\" id=\"faq\"\u003e\u003cdiv class=\"head\"\u003e\n\u003cspan class=\"eyebrow\"\u003eFAQ\u003c\/span\u003e\u003ch2\u003eFrequently asked questions\u003c\/h2\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"faq\"\u003e\n\u003cdetails\u003e\u003csummary\u003eWhat does Sieve actually sell? \u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cline x1=\"12\" y1=\"5\" x2=\"12\" y2=\"19\"\u003e\u003c\/line\u003e\u003cline x1=\"5\" y1=\"12\" x2=\"19\" y2=\"12\"\u003e\u003c\/line\u003e\u003c\/svg\u003e\u003c\/summary\u003e\u003cdiv class=\"ans justify\"\u003eMultimodal training datasets, evaluation sets and interactive environments, packaged and handed over by secure transfer. It is a data supply business, not a piece of software you log into.\u003c\/div\u003e\u003c\/details\u003e\u003cdetails\u003e\u003csummary\u003eWhich data modalities does Sieve cover? \u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cline x1=\"12\" y1=\"5\" x2=\"12\" y2=\"19\"\u003e\u003c\/line\u003e\u003cline x1=\"5\" y1=\"12\" x2=\"19\" y2=\"12\"\u003e\u003c\/line\u003e\u003c\/svg\u003e\u003c\/summary\u003e\u003cdiv class=\"ans justify\"\u003eVideo, image and audio, the latter covering speech, music and sound, plus interaction traces including computer use. The homepage also highlights before-and-after editing pairs for controlled generation.\u003c\/div\u003e\u003c\/details\u003e\u003cdetails\u003e\u003csummary\u003eHow much does it cost? \u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cline x1=\"12\" y1=\"5\" x2=\"12\" y2=\"19\"\u003e\u003c\/line\u003e\u003cline x1=\"5\" y1=\"12\" x2=\"19\" y2=\"12\"\u003e\u003c\/line\u003e\u003c\/svg\u003e\u003c\/summary\u003e\u003cdiv class=\"ans justify\"\u003eSieve publishes no prices. Each engagement is a purchase agreement calibrated on data volume, task complexity and the annotations required, so the figure only emerges through a sales conversation.\u003c\/div\u003e\u003c\/details\u003e\u003cdetails\u003e\u003csummary\u003eIs there a free trial or a free plan? \u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cline x1=\"12\" y1=\"5\" x2=\"12\" y2=\"19\"\u003e\u003c\/line\u003e\u003cline x1=\"5\" y1=\"12\" x2=\"19\" y2=\"12\"\u003e\u003c\/line\u003e\u003c\/svg\u003e\u003c\/summary\u003e\u003cdiv class=\"ans justify\"\u003eNeither is advertised. Sieve does provide data samples on request through its contact form, but these are presented as evaluation samples rather than as a trial or a free tier.\u003c\/div\u003e\u003c\/details\u003e\u003cdetails\u003e\u003csummary\u003eDoes Sieve offer an API? \u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cline x1=\"12\" y1=\"5\" x2=\"12\" y2=\"19\"\u003e\u003c\/line\u003e\u003cline x1=\"5\" y1=\"12\" x2=\"19\" y2=\"12\"\u003e\u003c\/line\u003e\u003c\/svg\u003e\u003c\/summary\u003e\u003cdiv class=\"ans justify\"\u003eNot today. The company sold a video understanding and editing API until early 2025, then withdrew it; the current site documents no API and the old documentation host no longer resolves.\u003c\/div\u003e\u003c\/details\u003e\u003cdetails\u003e\u003csummary\u003eWhat security guarantees are stated? \u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cline x1=\"12\" y1=\"5\" x2=\"12\" y2=\"19\"\u003e\u003c\/line\u003e\u003cline x1=\"5\" y1=\"12\" x2=\"19\" y2=\"12\"\u003e\u003c\/line\u003e\u003c\/svg\u003e\u003c\/summary\u003e\u003cdiv class=\"ans justify\"\u003eEnd-to-end encryption, custom data retention, secure transfer and SOC 2 Type 2 controls, all claimed on the homepage. No trust or security page expands on them, and no audit report is published.\u003c\/div\u003e\u003c\/details\u003e\u003cdetails\u003e\u003csummary\u003eDoes Sieve train models on the data it collects? \u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cline x1=\"12\" y1=\"5\" x2=\"12\" y2=\"19\"\u003e\u003c\/line\u003e\u003cline x1=\"5\" y1=\"12\" x2=\"19\" y2=\"12\"\u003e\u003c\/line\u003e\u003c\/svg\u003e\u003c\/summary\u003e\u003cdiv class=\"ans justify\"\u003eYes. Training and improving AI models and algorithms is listed among the declared purposes in its privacy policy. Data processed on behalf of a Customer under a written agreement is explicitly outside that policy's scope.\u003c\/div\u003e\u003c\/details\u003e\u003cdetails\u003e\u003csummary\u003eIs there a minimum age? \u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cline x1=\"12\" y1=\"5\" x2=\"12\" y2=\"19\"\u003e\u003c\/line\u003e\u003cline x1=\"5\" y1=\"12\" x2=\"19\" y2=\"12\"\u003e\u003c\/line\u003e\u003c\/svg\u003e\u003c\/summary\u003e\u003cdiv class=\"ans justify\"\u003eYes, 18. The privacy policy states that the Services are not directed to children under 18 and that Sieve does not knowingly collect their personal information.\u003c\/div\u003e\u003c\/details\u003e\u003cdetails\u003e\u003csummary\u003eWhere is the data hosted? \u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cline x1=\"12\" y1=\"5\" x2=\"12\" y2=\"19\"\u003e\u003c\/line\u003e\u003cline x1=\"5\" y1=\"12\" x2=\"19\" y2=\"12\"\u003e\u003c\/line\u003e\u003c\/svg\u003e\u003c\/summary\u003e\u003cdiv class=\"ans justify\"\u003eThe policy names the United States, then adds or other countries without listing them. No hosting provider is named, no EU region is offered and no data residency option is described.\u003c\/div\u003e\u003c\/details\u003e\u003cdetails\u003e\u003csummary\u003eWho is behind Sieve and how do you reach them? \u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cline x1=\"12\" y1=\"5\" x2=\"12\" y2=\"19\"\u003e\u003c\/line\u003e\u003cline x1=\"5\" y1=\"12\" x2=\"19\" y2=\"12\"\u003e\u003c\/line\u003e\u003c\/svg\u003e\u003c\/summary\u003e\u003cdiv class=\"ans justify\"\u003eSieve, Inc., backed by Y Combinator, Swift Ventures, Matrix Partners and AI Grant. There is no published postal address or phone number: contact runs through the form on the site, or support@sievedata.com for privacy matters.\u003c\/div\u003e\u003c\/details\u003e\n\u003c\/div\u003e\u003c\/section\u003e\n\u003csection class=\"block conclusion\" id=\"conclusion\"\u003e\u003cdiv class=\"head\"\u003e\n\u003cspan class=\"eyebrow\"\u003eConclusion\u003c\/span\u003e\u003ch2\u003eShould you pick Sieve?\u003c\/h2\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"rich justify\" style=\"max-width:80ch\"\u003e\n\u003cp\u003eSieve is not a tool you sign up for, it is a supplier you negotiate with, and judged on that basis it presents a credible case. The scale it claims, hundreds of petabytes, millions of hours ingested each month, a billion videos embedded into 41 billion vectors, is the kind of inventory that makes fast delivery plausible rather than aspirational. Building supply proactively instead of request by request is a real structural difference from most data vendors. Rights handling sits inside the filtering rather than beside it, SOC 2 Type 2 controls are claimed on delivery, and the team's provenance is stated openly.\u003c\/p\u003e\n\u003cp\u003eThe reservations concern transparency rather than capability. Nothing about price is public, which is normal in this market but leaves a buyer unable to size an engagement before speaking to sales. More unusually, Sieve publishes no terms of service at all: a privacy policy is the only contractual document on the site, and it expressly declines to cover the data Sieve handles for its own customers. For a European buyer the gaps are sharper still, since GDPR is never mentioned, no Data Processing Agreement is offered, no Article 27 representative is designated and subprocessors appear only as categories. The site itself is thin: six pages, no address, no phone number, and a Browse Datasets button that leads nowhere.\u003c\/p\u003e\n\u003cp\u003eOne point of history matters. Until early 2025 Sieve sold a video understanding and editing API, so any description of the company written before 2026 describes a product that no longer exists. \u003cb\u003eTreat older listings as obsolete rather than incomplete.\u003c\/b\u003e For research teams whose bottleneck genuinely is data, Sieve is worth a conversation, with the contract rather than the website doing the reassuring.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"cta-row\"\u003e\u003ca class=\"btn btn-primary\" href=\"https:\/\/sieve.ai\/\" target=\"_blank\" rel=\"noopener\"\u003e\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"16\" height=\"16\"\u003e\u003cpath d=\"M15 3h6v6\"\u003e\u003c\/path\u003e\u003cpath d=\"M10 14 21 3\"\u003e\u003c\/path\u003e\u003cpath d=\"M18 13v6a2 2 0 0 1-2 2H5a2 2 0 0 1-2-2V8a2 2 0 0 1 2-2h6\"\u003e\u003c\/path\u003e\u003c\/svg\u003e Visit Sieve\u003c\/a\u003e\u003c\/div\u003e\u003c\/section\u003e\n\u003c\/div\u003e","brand":"Sieve, Inc.","offers":[{"title":"Default Title","offer_id":58256632873291,"sku":null,"price":0.0,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1038\/0905\/7099\/files\/official-sieve-by-guidaio_fddcabe3-747f-45cd-9f29-d98a4136fcb6.png?v=1787740815","url":"https:\/\/guidaio.com\/products\/sieve","provider":"Guidaio","version":"1.0","type":"link"}