Rose AI
Rose AI is an agentic data platform built for finance. It connects Bloomberg, Refinitiv and alternative sources, lets analysts query 50+ million time series in plain English, and traces every figure back to its origin.
What is Rose AI?
Rose AI is a data platform aimed at organisations whose work depends on market and economic figures. Its starting premise, stated plainly on the homepage, is that working with data is hard, especially in finance. The product answers that with an agentic workspace shipping with more than 50 million time series drawn from over 30 vendors, able to take in further public and private datasets alongside them.
Three pillars carry the offer. A unified data mesh pulls Bloomberg, Refinitiv and alternative sources together in real time. Autonomous AI agents discover, clean and structure material according to the requirements a team sets for itself, with automated quality assurance and anomaly detection on millisecond feeds. A natural language layer lets someone ask a question the way they would phrase it aloud, against what Rose calls a proprietary financial knowledge bank, with no query language to learn first.
What the company pushes hardest is traceability. Every data point, visualisation and answer is meant to carry a visible trail back to where it came from, so an analyst can defend the why behind a number instead of trusting a black box. Shared workspaces extend that to whole teams without giving up control of the underlying material.
Several other pieces sit around the core. RoseLang is a proprietary language for transforming data, and transformations built with it can be bought and sold between users in the Rose Marketplace, under terms of sale that Rose may reverse if a seller fails to deliver. Notebooks hold the work in progress. Ask Rose, the assistant that turns a written prompt into a written answer plus a chart, sits behind the paid tier.
A separate Institutional Solutions track offers hands-on engagement rather than software alone: deep investment insight, structured mathematical reasoning, database connectivity and clear written narratives, delivered through a five-stage programme running to three months and beyond. It can extend as far as documenting a data dictionary or helping an institution build a data team from scratch.
The publisher is Rose Technology Incorporated, based in New York, with terms governed by the law of the State of New York.
What it does
- Ask questions about complex datasets in plain English
- Pull Bloomberg, Refinitiv and alternative data into one workspace
- Let autonomous agents discover, clean and structure incoming data
- Build charts and dashboards from market and economic series
- Trace any figure, chart or answer back to its original source
- Share workspaces across a team without losing data integrity
- Buy and sell RoseLang-transformed datasets in the Rose Marketplace
When to use Rose AI / When not to
A quick filter to help you decide if Rose AI is the right fit.
When to use Rose AI
- Buy-side analysts and portfolio managers who follow markets and macro daily
- Data teams inside financial institutions that must reconcile several vendor feeds
- Quantitative researchers who need clean, replicable time series rather than raw dumps
- Consultants and strategists who turn scattered figures into defensible client answers
- Data journalists and independent writers who publish charts and need a source trail
When not to use Rose AI
- Anyone needing a mobile app, since access is browser-only with no iOS or Android release
- Developers expecting a public API, as the documentation subdomain does not respond
- Teams outside finance, whose use cases the site never illustrates
- Buyers who require published security certifications, a DPA or a subprocessor list
- Non-English speakers, as the interface and every document are English-only
How to use Rose AI
A typical end-to-end flow, from setup to results.
- Open rose.ai in a browser; there is nothing to install
- Create an account with an email address and password, or sign in with Google
- Accept the terms and conditions when activating the account
- Explore the bundled catalogue of time series without any prior configuration
- Type a question in plain English, such as a request for a given stock price
- Read the written answer and the chart Ask Rose returns alongside it
- Follow the trail on any figure back to the source that produced it
- Connect your own databases or add vendor API keys for wider coverage
- Upload PDF or CSV files, keeping each under the recommended 1 MB
- Register a payment card to unlock Ask Rose and Marketplace data packages
Pros & Cons
Pros
- Traceability on every figure is the central promise, and a rare one
- More than 50 million time series from over 30 vendors are available immediately
- Connectors reach the market references analysts already rely on
- Plain-English querying removes the need to learn a query language
- The Marketplace lets users monetise the datasets they have cleaned
- The institutional track goes as far as helping build an internal data team
- At $14.99 per month the paid entry point is modest for the sector
Cons
- No public pricing page exists; the price is visible only inside the product
- The privacy policy has not been revised since January 2021 and still cites Privacy Shield
- No security certification is published and there is no trust or security page
- No DPA and no subprocessor list are available
- Nothing anywhere states whether customer data trains AI models
- The Documentation link in the site footer points to a subdomain that does not respond
- No mobile app, no public API, and no postal address published anywhere
Pricing & Plans
No permanent free plan is advertised. The lowest published price point is the Rose Pro plan at 14.99 USD per month, billed monthly, which unlocks the Ask Rose assistant and dedicated support. A payment card is required for the paid plan and for purchasing data packages in the Marketplace. It should be noted that this amount does not appear on any public pricing page, as none exists; it is displayed within the product's own checkout screens.
- Rose Pro — 14.99 USD per month
- billed monthly
- unlocking Ask Rose and dedicated support
- Marketplace data packages — priced individually by sellers
- amounts not published
- Institutional Solutions — bespoke engagement
- no published price
- entry via the contact form
Data, GDPR & hosting
A consolidated view of how Rose AI handles your data.
GDPR overview
Concrete GDPR provisions exist. The privacy notice names Rose Technology Inc. as data controller for EEA visitors, sets out legal bases (consent, performance of a contract, legitimate interests, legal obligation), and grants EEA, UK and Swiss residents access, rectification, erasure, objection, restriction, portability and withdrawal of consent through a dedicated GDPR Data Subject Rights Requests Form, alongside the right to complain to a supervisory authority. International transfers rely on the European Commission's Standard Contractual Clauses, available on request. Two caveats matter. The notice is dated 3 January 2021 and still claims certification under the Privacy Shield, a framework the Court of Justice of the European Union invalidated in July 2020. No Article 27 EU representative is named, no Data Processing Agreement is published, and no subprocessor list is disclosed.
Who owns the data?
The terms draw a firm line. Rose Technology Incorporated owns the platform, RoseLang, all related code and technology, and any derivative works; nothing in the agreement transfers that ownership to a user. Content a customer uploads is treated separately: the privacy notice states that Rose processes it on the customer's behalf and that the customer remains responsible for its collection and use. Ideas and feedback sent to Rose may be used freely, without compensation or obligation. Data transformed through RoseLang can be traded between users inside the Rose Marketplace, but selling it outside the platform is grounds for immediate termination at Rose's sole discretion.
Reuse rights
Inside the platform, users may transform data with RoseLang and offer the result for sale to other users in the Rose Marketplace, subject to the terms of sale displayed there. Two conditions attach. A buyer must warrant to the seller that it holds permission to access any underlying data, and a seller warrants that the transfer breaches no applicable agreement and infringes no third-party intellectual property. Selling RoseLang-transformed data anywhere other than the Rose Platform is prohibited outright and can end the agreement immediately. Rose may also reverse all or part of a sale at its own discretion where a seller fails to meet its commitments. Sellers provide their data as-is with no warranty of any kind, and a seller's liability to a buyer is capped at the amounts paid during the three months before the event.
Data retention & training
Hosting summary
The privacy notice states that the website servers are located in the United States. Personal information may also be stored and processed in other countries, specifically the jurisdictions where Rose Technology's affiliates, partners and third-party service providers operate, and the notice acknowledges that some of those countries may offer weaker protection than the user's own. For transfers out of the EEA, the United Kingdom and Switzerland, the company relies on the European Commission's Standard Contractual Clauses, which it says can be provided on request, and describes equivalent safeguards with its third-party service providers. The notice additionally claims certification under the Privacy Shield Principles, a framework invalidated in July 2020, which should not be treated as a live guarantee. No country other than the United States is named as a hosting location, no data residency option is offered, and no hosting region is described. The public site itself is served through Cloudflare.
Things to keep in mind
Risks and trade-offs to weigh before adopting Rose AI.
- The privacy policy dates from January 2021 and still invokes the invalidated Privacy Shield framework
- Nothing states whether your data trains AI models, and no opt-out is offered
- No DPA, no subprocessor list and no published security certification
- Plain-English answers can feel authoritative; the traceability trail exists precisely so it should be checked, not skipped
- Leaning on generated charts and narratives can erode the habit of interrogating a dataset directly
- Data sold through the Marketplace carries no warranty, and seller liability is capped at three months of payments
- Pricing lives only inside the product, so it can change without any public announcement
Setup & Integrations
Technical difficulty
Getting started is easy. Account creation takes an email address and password or a Google sign-in, nothing is installed, and the bundled catalogue of time series is usable straight away without configuration. Because questions are asked in plain English, there is no query language to learn before producing a first chart. Difficulty rises later: connecting your own databases and adding vendor API keys is a technical step, and RoseLang has to be learned for advanced transformations or for selling data on the Marketplace. A payment card must be registered before Ask Rose becomes available.
Deployment
Integrations
Supported languages
Behind Rose AI
Fundraising
Social
Resources
All the official URLs gathered for verification and reference.
Frequently asked questions
What does Rose AI actually do?
How much data is available straight away?
Which external data sources are named?
Do I need to know how to code?
What does it cost, and is there a free trial?
Is there a mobile app or a public API?
Where is my data hosted?
Is customer data used to train AI models?
Should you pick Rose AI?
Rose AI is a technically ambitious product with a clear and unusually honest central claim: that every number it shows you can be followed back to its source. For an analyst who has to defend a figure in front of an investment committee, that matters more than most feature lists. The platform is well funded, backed by identifiable investors, and its testimonials come from names that carry weight in the industry, including former Bridgewater and Brevan Howard people.
The reservations are not about the technology but about what the company chooses to publish. There is no pricing page, no about page, no direct contact channel beyond a third-party form, and no postal address anywhere on the site. The privacy policy has not been touched since January 2021 and still claims certification under a transfer framework struck down in July 2020. No security certification, no DPA and no subprocessor list are offered, and the question of whether customer data trains AI models is never addressed. For a product asking financial institutions to entrust it with market data, that silence is the weak point.
A few signals also invite caution about how actively the commercial side is running: the footer's own Documentation link is broken, the sign-in code anticipates a state in which new registrations are closed, and the payment key served in production is a test key. None of this proves the product is dormant, and the marketing site responds normally, but it is worth confirming before committing.
In short, a genuinely interesting tool for data and research teams in finance, best approached with direct questions to the vendor on pricing, security posture and data handling before any serious commitment.
- Choosing a selection results in a full page refresh.
- Opens in a new window.