"Make AI understand your business."
A swarm of AI agents that reads your databases, fixes the messy parts, and hands your favorite model a clean answer - in under an hour, no data team required.
The slide deck is glorious. The chatbot answers in full sentences, cites a figure, even cracks a small joke. Then someone in the back row asks the question every executive eventually asks: "Can it do that with our numbers?" The room goes quiet. Because the company's real data does not live in a tidy demo. It lives in three databases nobody fully trusts, a CRM two acquisitions deep, an ERP that predates the cloud, and a spreadsheet a finance lead guards like a family heirloom. This is the gap Teramot was built to close - the unglamorous space between a brilliant model and the messy systems a business actually runs on.
Teramot's claim is refreshingly small. Not artificial general intelligence. Not a chatbot that replaces your staff. Just this: connect any AI model - Claude, ChatGPT or Gemini - to your company's real data, and do it before the coffee gets cold. The execution behind that small promise is the interesting part.
Connect any AI model to your company's real data. In under an hour. No technical team needed.- Teramot, company positioning
Teramot is not a single bot. It is a system of specialized AI agents that treat your data the way a careful analyst would - by reading it first, doubting it second, and only then transforming it. The output has a deliberately humble name: the Gold Table, a clean, production-ready layer any AI assistant can query on day one.
Plug into existing databases, warehouses, ERPs, CRMs and APIs - no rip-and-replace.
Agents analyze the schema and flag data-quality issues before they poison an answer.
Propose transformations and generate transparent, auditable SQL - reviewable before deploy.
The Gold Table is immediately queryable from Claude, ChatGPT or Gemini via MCP.
The platform: specialized agents that build production-ready data pipelines without data engineers or a six-month implementation.
A structured, query-ready data layer the agents assemble - the clean source of truth your AI assistant talks to.
A Model Context Protocol layer that lets any AI model query and use your data anywhere, with humans kept in the loop on every transformation.
Most "ask-your-data" tools win the demo and lose the audit. Teramot's bet is the opposite: every transformation is visible, every query is reviewable, and a human can veto the SQL before it ships. In a world nervous about what AI does with sensitive numbers, that auditability is less a feature than a permission slip.
Founder and CEO Bruno Ruyu says he has been working in AI since 2005 - a detail that lands differently in a field where most resumes start in 2023. He brings a background in data analytics and financial-risk modeling, a stint at Stanford's Graduate School of Business, and a co-founder, Gabriel Puertas, running operations.
The company starts with a question - can AI reliably access company data through conversation?
Backed by Natan Ventures, CITES, Ryta Zasiekina, Newchip, Startup Ole Accelerator and MANA Tech. Reported totals range up to ~$600K across sources.
A product-strategy veteran signs on as independent director.
The company sharpens around "Make AI Understand Your Business," shipping the Gold Table and MCP-based teramot-dev layer.
Teramot was originally called Halley - the rebrand came with the pivot to AI-native data infrastructure.
Bruno Ruyu has been doing AI since 2005 and studied at Stanford GSB.
A San Francisco address with deep engineering roots in Cordoba, Argentina.
The flagship output is humbly called a "Gold Table" - a clean, query-ready data layer.
Replay the meeting. The chatbot is up, the slide is glowing, and the question comes again from the back row: "Can it do that with our numbers?" Only this time the data is already connected. The agents have read the schema, flagged the duplicates, written the SQL someone actually approved. The answer arrives in plain language, sourced from the company's own Gold Table - and the person who asked can see exactly where it came from. The gap between a good demo and a real answer is the whole game. Teramot's wager is that closing it quietly, in under an hour, is worth more than any one model's cleverness. The room, for once, does not go silent.