How constellation stocks is building an AI equity research platform

Dubai startup Constellation Stocks is developing an AI-powered equity research platform that already generates standardised reports for roughly 3,000 US-listed equities. Co‑founder Iskandar Rakhmatov and his two co‑founders entered In5 Tech after self-funding the project with approximately USD 80,000, building an MVP and validating the concept with more than 400 surveyed investors and analysts — 80% of whom gave positive feedback and committed to using the product. The team was admitted to In5 Tech in August 2024 and subsequently incorporated in the DDA free zone.

“The information asymmetry between institutional and retail investors is not about access to specific data,” says Rakhmatov, who previously held senior finance roles at OZON and at Zamwell Capital. “The gap is in processing that data systematically. That’s what we’re solving.”

Platform design and early traction

Constellation Stocks delivers multi‑page, Wall Street–style research in seconds via a two‑layer analytical engine. The first layer is a textual intelligence stack: large language models fine‑tuned on financial language ingest SEC filings, earnings call transcripts, management guidance and news flow to extract structured signals — changes in management tone, risk disclosures and an investment thesis with explicit pros and cons. The second layer is quantitative: automated valuation models compute implied fair value using historical multiples (EV/Revenue, EV/EBITDA, P/E) applied to forward consensus estimates for revenue and EPS.

“We are building a research tool, not a trading tool,” Iskandar clarifies. “You type in a ticker and get the same kind of report an equity analyst at a bank would spend days compiling – delivered in seconds.”

Constellation Stocks’ first commercial partner was Baraka, the DIFC‑headquartered, DFSA‑regulated digital brokerage and Y Combinator alumnus. Founder Feras Jalbout connected with Rakhmatov on LinkedIn and the teams ran two pilots: an A/B test of the automated research report generator on a segment of Baraka’s audience, and the development of a proprietary scoring system for US equities that blends quantitative and qualitative factors tailored to Baraka’s analytics needs. Rakhmatov led design of both frameworks.

Business model and market opportunity

The startup is targeting a USD 5.3 billion serviceable market of online equity investors within a broader USD 33.4 billion investment analytics industry that, the team says, is growing at roughly 11% annually. Revenue streams outlined by Constellation Stocks include:

• consumer subscriptions for individual investors;
• B2B research reports and bespoke analytics for brokers and platforms;
• educational content built around systematic fundamental research.

By late 2024, Rakhmatov had also joined Zeus Quanto, a New Jersey‑based fintech, and the team has fielded interest from US market participants. “The feedback we are receiving from US market participants is crucially valuable. It is helping us develop new products with bigger potential than we initially envisioned,” he said.

Outlook

Looking ahead, Constellation Stocks plans to evolve the product into an agentic AI mode that generates customised equity research aligned to individual investing styles, and to build analytical products for stock options trading — a niche the founders identify as high‑growth among modern traders. The company positions its offering as a disruptor to an information market long dominated by institutional terminals that can cost upward of USD 20,000 per seat.