Elvity
Elvity is an automated onboarding engine for customer data. B2B SaaS teams drop in CSV, XLSX, JSON, PDF or image files, describe the target in plain English, and get a deterministic pipeline that self-heals when schemas drift.
What is Elvity?
Elvity is an intelligent data engineering and onboarding platform built, in the vendor's words, to eliminate the friction of B2B data exchanges. The problem it targets is familiar to anyone who has onboarded a corporate customer: files arrive in every shape imaginable — multi-tab spreadsheets, misaligned CSVs, missing headers, multi-page PDFs, scanned documents. The usual answers are manual re-keying, one-off cleaning scripts, or forcing a rigid template on the customer. Elvity replaces all three with a three-step cycle: drop in sample files, write a plain-English instruction describing the outcome, then inspect and refine the pipeline the AI generates.
Under that surface the engine runs five operations: structure discovery, a mapping plan submitted for human approval, batch processing, validation guardrails (required fields, ranges, regex, custom Python logic) and cell-level lineage. Schema drift is handled automatically — the platform detects the change, fuzzy-matches the new column (the documentation shows total_amt mapped to Total_Price at 98% confidence), patches the mapping without interrupting the run, and notifies the team. Unstructured documents go through multi-engine consensus OCR with escalation to human review, and records can be enriched from REST endpoints, web search, or public and private datasets.
Two audiences are addressed explicitly: non-technical operations and customer success staff, and developers or data engineers. That split shows in the four deployment modes — a React or Angular component via npm @elvity/sdk, a JavaScript snippet in a modal, an Elvity-hosted portal, or an iframe — plus co-branded import portals that let end customers upload their own files.
On assurances, Elvity holds SOC 2 Type II with an independent third-party audit, encrypts data with AES-256 at rest and TLS 1.2+ in transit, manages keys through AWS KMS, and runs production inside a private VPC with no direct internet access. The Enterprise tier adds a claimed zero-knowledge architecture: only metadata and schemas pass through Elvity's cloud, while execution takes place in the customer's own VPC or private cloud. The company behind it is Elvity, Inc., based in San Francisco and founded by Vikram Shrowty (CEO) and Safder Raza (CTO).
What it does
- Drop in sample files — CSV, XLSX, JSON, PDF or images — with no strict schema defined upfront
- Describe the expected result in plain English and let the AI build the pipeline
- Inspect and edit the generated pipeline visually before it runs
- Run batch ingestion at scale and follow progress as it happens
- Resolve validation failures in bulk from a dedicated error console
- Trace any cell back to its source coordinate or the highlighted PDF sentence
- Deploy the import portal inside your own application
When to use Elvity / When not to
A quick filter to help you decide if Elvity is the right fit.
When to use Elvity
- B2B SaaS teams that repeatedly onboard heterogeneous customer files
- Data and operations teams running recurring migrations from HRIS, ERP or product catalog systems
- Companies ingesting unstructured documents: multi-page PDFs, scans, invoices and purchase orders, at volumes the vendor puts in the millions of rows
- Software vendors that want to offer their own customers a white-label embedded import portal or SDK
- Regulated organizations that need processing to run on their own infrastructure, available on the Enterprise tier
When not to use Elvity
- Teams looking for a real-time iPaaS-style SaaS connector: Elvity processes files that are dropped in, not continuous application streams
- Organizations with high-risk use cases such as critical infrastructure or life support, which the terms of service and the acceptable use policy prohibit, or with a need to submit Sensitive Data, which the terms forbid outright
- Anyone under 16, since the privacy policy states the service is not intended for children
- Small teams counting on the free tier alone: Starter is capped at CSV and Excel, 10,000 rows per month and a single project
- Users who need mobile or in-browser workflows: there is no mobile app and no browser extension
How to use Elvity
A typical end-to-end flow, from setup to results.
- Drop in a set of sample files in any supported format, with no strict schema imposed at the start
- Write a plain-English instruction describing the result you expect; the AI builds the pipeline from it
- Define a target schema that acts as the single source of truth for the mapping
- Review the AI-generated mapping plan and approve it, so a human validates before anything runs
- Inspect the generated pipeline visually and edit it; the vendor claims a no-black-box design
- Design a co-branded data portal so your customers or suppliers upload their files themselves
- Launch the ingestion and follow batch processing as it progresses
- Resolve validation failures in the error console, manually or with AI-assisted correction, without touching your local files
- Audit any value through cell-level lineage back to its spreadsheet coordinate or source PDF sentence
- Deploy with npm install @elvity/sdk and the ElvityImporter component (projectID, environment), or a JS snippet, hosted portal or iframe, then restrict allowed production and staging domains and confirm events on the live connection status card
Pros & Cons
Pros
- Handles unstructured documents such as PDFs and images, where many import tools stop at spreadsheets
- The generated pipeline is inspectable and editable, an explicit stance against black-box automation
- Self-healing on schema drift, patched without interrupting the run
- Cell-by-cell traceability back to the exact source
- A no-training commitment written into the terms of service rather than left as a marketing line
- SOC 2 Type II with the report available through a structured Trust Center, plus the option to run processing on the customer's own infrastructure for regulated sectors
- Permanent free tier, a public mid-tier price at 199 USD per month, several deployment modes including native React and Angular components, and nine chapters of public documentation
Cons
- No mention of the GDPR anywhere on the site and no Article 27 EU representative designated
- No postal address published, only a city (San Francisco) and a phone number
- The subprocessor list is not published: it is described as documented and available for review, but sits behind a Trust Center access request
- The Data Protection Addendum appears in the terms only conditionally, and no hosting country or region is specified beyond the mention of AWS
- Very young company: domain registered in late 2024, first Wayback capture in January 2025, with mostly anonymous case studies (one named customer, Birdzi) and unaudited figures
- Default 12-month subscription commitment under the terms, and Enterprise pricing is not public
- Restrictive free tier (10,000 rows per month, CSV and Excel only, one project), no mobile app or browser extension, and an interface documented in English only
Pricing & Plans
Elvity runs on a freemium model. The Starter plan is free on a permanent basis — not a time-limited trial — and covers up to 10,000 rows per month, CSV and Excel files, one project and Slack community support. The cheapest paid entry point is Growth at 199 USD per month, which raises the ceiling to 500,000 rows and adds PDF and image ingestion with OCR, ten projects, self-healing auto-patch and email support. Enterprise is quoted on request and covers unlimited rows and projects, data sovereignty, zero-knowledge edge deployment, a dedicated support engineer, custom SLAs and audit logs. No time-limited free trial is advertised, the free tier playing that role, and no annual discount is displayed. The terms set a default 12-month subscription, 30 days' notice before any price change, and possible suspension after 30 days of non-payment.
- Starter — Free — up to 10
- 000 rows per month
- CSV and Excel only
- 1 project
- Slack Community Support
- Growth — 199 USD per month
- labeled MOST POPULAR — 500
- 000 rows
- PDF and image ingestion (OCR)
- 10 projects
- self-healing and auto-patch
- email support
- Enterprise — Custom pricing — unlimited rows and projects
- data sovereignty
- zero-knowledge edge deployment
- dedicated support engineer
- custom SLAs
- audit logs
- SOC 2 Type II is listed in the plan comparison grid
Data, GDPR & hosting
A consolidated view of how Elvity handles your data.
GDPR overview
There is no mention of the GDPR anywhere on the Elvity website — not in the privacy policy, not in the terms, not in the Trust Center. No EU representative under Article 27 is named, and no EU address or entity appears. The company states it is headquartered in the United States, applies California law, and warns that personal information may be transferred to the United States or other locations where privacy laws may not be as protective as those in the user's own country. Privacy rights are offered through the Trust Center in US wording — Right to Know, Do Not Sell or Share, Delete — rather than in GDPR vocabulary. A Data Protection Addendum appears in the terms only conditionally (“if any”). Privacy contact: privacy@elvity.ai. This is a documented silence, not a claim of compliance.
Who owns the data?
Elvity's terms are explicit: as between the parties, the customer retains all intellectual property and other rights in Customer Data and Customer Materials, and Outputs produced by the AI features are deemed to be Customer Data. Elvity keeps the rights to the Service itself. Its access to Customer Data is limited to providing and maintaining the Service, Support and Professional Services. Usage Data is the exception: Elvity may exploit it, including for benchmarking, but may only disclose it in de-identified and aggregated form. In short, you own what you upload and what comes out of the pipeline; Elvity owns the platform and the anonymized telemetry around it.
Reuse rights
Because Outputs are treated as Customer Data, the customer can reuse ingested and cleaned data freely, without asking Elvity's permission. Elvity's own use is narrow: data serves only to provide and maintain the service. The terms state that Elvity may not use Inputs or Outputs to train or otherwise improve AI Features, except solely for the benefit of Customer, and the Trust Center adds that customer data is strictly segregated, never used to train public LLMs and never shared across tenants. AI processing is delegated to Google Vertex AI, with announced data residency and contractual protections. Separately, the website privacy policy covers contact, profile, communication, device and usage data, collected for service delivery, operations, product improvement, marketing and compliance; that data may be shared with affiliates, service providers, professional advisers, authorities and any future acquirer. Elvity does not respond to Do Not Track signals.
Data retention & training
Hosting summary
Elvity states it is 100% cloud-native and hosted on Amazon Web Services. The production environment follows a Zero-Trust design and is logically isolated in a private VPC, with no direct public internet access to databases or compute workloads. Data is encrypted with AES-256 at rest and TLS 1.2 or higher in transit, with keys managed through AWS KMS. High availability rests on an AWS serverless architecture, and the business continuity plan sets a 24-hour RTO and a 48-hour RPO. AI processing is handled by Google Vertex AI, with announced data residency and contractual protections. On the Enterprise tier the model inverts: execution happens on the customer's own infrastructure, their VPC or private cloud, and only metadata and schemas transit through Elvity's cloud. One gap matters: no hosting country or region is specified anywhere on the site. The company is headquartered in the United States and states that personal information may be transferred to the United States or other locations, so the effective jurisdiction should be assumed to be American unless an Enterprise deployment places execution elsewhere.
Things to keep in mind
Risks and trade-offs to weigh before adopting Elvity.
- No GDPR mention anywhere on the site: an organization subject to European rules will have to obtain a DPA — referenced in the terms only conditionally, “if any” — and transfer safeguards by contract, off-site
- The subprocessor list is not published and is only available on request through the Trust Center, and no hosting country or region is named beyond AWS
- The terms prohibit submitting Sensitive Data and forbid high-risk uses such as critical infrastructure or life support: check your use case before committing
- Subscriptions run for 12 months by default, so the permanent free tier is the only low-commitment way to evaluate at length
- Usage Data may be used by Elvity for benchmarking; it is only disclosed de-identified and aggregated, but it is still exploited
- Automation invites complacency: the mapping plan goes through human approval by design and schema changes are auto-patched, so skipping that review is where silent data corruption would enter
- Vendor-supplied case-study figures (95%, 87%, 91%) are unaudited and two of the three customers are anonymous, product screenshots show app.elvity.com and monitor.elvity.dev domains that read as illustrative mock-ups rather than verified services, and the “Series A Startup” claim on the Careers page is not corroborated by external funding databases
Setup & Integrations
Technical difficulty
Low for everyday use, moderate for deployment. Getting started is no-code: drop files in, write a plain-English instruction, and the vendor claims under five minutes from prompt to production with no manual mapping. Non-technical staff are explicitly targeted for building portals and resolving errors. Deployment is where engineering comes in: npm install @elvity/sdk, embedding a React or Angular component, configuring allowed domains — though a hosted portal or JS snippet avoids all of that. Advanced validations may require custom Python logic and REST callbacks, and Enterprise zero-knowledge edge deployment on a customer VPC involves infrastructure teams.
Deployment
Integrations
Supported languages
Behind Elvity
Fundraising
Resources
All the official URLs gathered for verification and reference.
Alternatives
Tools that compete with or complement Elvity.
Frequently asked questions
How does the zero-knowledge architecture work?
How accurate is extraction from PDFs and images?
What happens if a supplier changes its invoice format?
How long does setup take?
Which file formats are supported?
Is my data used to train models?
What certifications does Elvity hold?
How do I integrate Elvity into my own application?
Is there a minimum age to use the service?
Where is the data hosted?
Should you pick Elvity?
Elvity is a serious contender in a narrow but painful niche: onboarding B2B customer data, unstructured documents included. Against the alternatives it sits next to, Flatfile and OneSchema, its claimed differentiators are concrete rather than cosmetic — a pipeline generated from a plain-English prompt, self-healing auto-patch when a source schema drifts, multi-engine consensus OCR for PDFs and scans, and a pipeline you can open and edit instead of trusting blindly.
The security foundation is solid and, unusually, documented: SOC 2 Type II with an independent audit, AES-256 at rest, TLS 1.2+ in transit, a private VPC with no direct internet access, and Google Vertex AI as the AI provider. Better still, the no-training commitment is contractual — the terms state that Inputs and Outputs may not be used to train or improve AI Features except solely for the customer's benefit. That is rarer, and more verifiable, than a marketing pledge.
The reservations are just as real. The site is completely silent on the GDPR: no mention anywhere, no Article 27 EU representative, no EU entity or address. No postal address is published, the subprocessor list stays behind a Trust Center access request, and the Data Protection Addendum appears in the terms only conditionally. The company is very young, with a domain registered in late 2024 and a first archive capture in January 2025, and its case-study figures are vendor-supplied and unaudited.
The verdict follows naturally. If your team repeats customer data migrations and loses real hours to messy files, Elvity earns an evaluation, and the permanent free tier makes that evaluation cheap. If you operate under European data protection rules, treat compliance as an open question to settle in contract negotiation: a DPA, transfer safeguards and hosting locations all have to be obtained off-site.
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