In masonry, a quoin is the cornerstone.
The structural block everything else is built on.
We chose the name deliberately. Every important decision has a cornerstone: the research it's built on. If that foundation is weak, everything above it is at risk. Quoin is built to make that foundation unimpeachable: sourced, cited, structured, and ready to defend in any room.
Most AI research doesn't hold up in a room.
For decades, consequential decisions (investment memos, legal briefs, board packs, diligence reports) have rested on a specific kind of output. Not summaries. Not search results. Credentialed, sourced, structured intelligence that the decision-maker can stand behind.
Frontier AI changed how fast you can generate text. It didn't change what it takes to defend a claim. The output most AI tools produce today is consumer-grade: plausible-sounding, fast to generate, and impossible to verify. There's no primary source. No mechanism. No stated confidence. No bounds on where the claim holds.
That works fine for chatbots. It will not survive a partner meeting, a regulator's review, or a serious discovery call.
The problem isn't knowing how to research. It's the hours it takes.
An analyst building an investment memo can spend three days pulling sources, cross-checking claims, and producing a document a partner will read in twenty minutes. A sales team preparing for a discovery call spends an hour searching for information they're not even sure they can trust. A lawyer verifying a counterparty's background pulls records from four different places and manually reconciles what doesn't match.
That's not a research problem. That's a tax on every hour your best people work.
Quoin eliminates the manual labor. Not by replacing judgment, but by removing the hours of searching, verifying, and structuring that precede it. The work that used to take days takes twenty minutes. The work that took twenty minutes takes two. What's left is the thinking, which is what you actually hired those people to do.
Built to be verified, not just generated.
Most AI tools use the same model to find information and assess it, which is like asking someone to mark their own homework. The model that generates the answer has every incentive to be confident, whether or not the answer is right.
Quoin uses separate agent systems for research and verification that never share context. The agents that find information cannot influence the agents that check it. That separation is what makes the output defensible: every claim has been found, then independently verified, then traced to a primary source before it appears in your report.
The result is research you can hand to a partner, a regulator, or a board, and stand behind every line.
Built for anyone whose output has to be defensible.
Quoin started in financial services (private equity, venture, family offices, hedge funds) because the demand for decision-grade output was clearest there. But the shape of a defensible claim is the same in every industry where someone has to stand behind a decision.
Today, Quoin serves investment teams, legal researchers, policy teams, B2B sales organizations, procurement functions, consulting firms, and corporate development teams. If your work produces output that a decision-maker will rely on, Quoin is built for you.
Team
Operators building for operators
Our founders combine decades of AI, product, and market leadership to deliver an automation stack worthy of mission-critical research.
Ted Souder
Co-Founder & Chief Executive Officer
Previously among Google's earliest employees, Ted spent two decades building high-performing teams across the U.S., EMEA, and globally. He guided brands through digital transformations in search, mobile, video, cloud, and AI, and founded the Google CFO Forum to connect financial leaders with the digital future.
Ted serves on the boards of 1871 and the Chicago Council on Global Affairs and has held roles with the Economic Club of Chicago, Chicagoland Chamber of Commerce, and Portico by Exclusive Resorts. He is also a partner at HTAT Journeys, a conservation-focused safari company.
An educator on AI strategy with Section, a global speaker, and advisor to startups and VC funds, Ted equips leaders to embrace AI-first operating models via his THRIVE framework.
Brooke Dixon
Co-Founder & Chief Product Officer
With 20+ years across The Motley Fool, Match.com, and multiple startups, Brooke blends generative AI, platform architecture, and hands-on engineering leadership.
He specializes in building products from zero to one, aligning technical vision to commercial outcomes, and shipping reliable infrastructure for research-heavy workflows.
Want to partner with us?
We collaborate with investors, lenders, and strategic operators who need diligence-level intelligence on demand.
The research your decisions deserve, in 20 minutes.
Every claim sourced. Every source cited. No manual labor.