Grounded in the source. Cited to the publisher. Auditable end to end.
Built by technologists who spent decades running mission-critical systems on Wall Street — now bringing grounded, governed AI to capital markets, built to extend beyond finance.
The information you need is public — but scattered across the SEC, FINRA, the Fed, CFTC, DTCC, and the exchanges. PRISM assembles it into grounded, cited answers, and puts governance first — every agent grounded in source documents, cited to the publisher, and logged.
Agents are built on real public filings, notices, and releases — not a general chatbot with a finance prompt. Every claim links back to the source document, with a full retrieval trail.
The data is public; the work is finding it. PRISM gathers what's spread across the SEC, FINRA, the Fed, CFTC and DTCC and turns hours of assembly into a cited paragraph.
Each question, retrieval, and answer is attributable and examinable — and when you connect your own systems, every call is entitlement-checked against the caller. The property that gets AI past compliance.
Governed agents for capital-markets research — grounded in the public record (SEC filings, the Federal Register, the Fed), cited to each source, and auditable end to end. Each is a governed capability in one workspace, with the same identity, entitlements, and audit trail across all of them.
Cited Q&A and PM-ready memos over the SEC EDGAR corpus — 195,000+ filings across 500+ companies. Ask what changed in a company's risk factors and get a grounded answer with citations back to each source filing, or generate a "what changed" diligence memo across the risk and MD&A deltas.
A one-page, cited synopsis of any public company — assembled from its recent SEC filings and insider (Form 4) activity, with every claim traced back to source.
Ask what changed across the SEC, CFTC and the federal banking regulators on a topic and get a dated, cited synopsis from the Federal Register — instead of ten websites and a spreadsheet.
What the Fed said and how its language is shifting — FOMC statements, minutes and Board speeches distilled into a dated, cited brief, instead of reading every release yourself.
Exchange, FINRA, DTCC and settlement changes that affect operations — dated and cited, instead of monitoring a dozen venues and a spreadsheet.
Name an agent, write its instructions in plain English, and grant it the skills it can use. Skills are governed, public-data capabilities — SEC filings, regulatory notices, FINRA, CFTC, market-structure notices, the Fed, enforcement — each one grounded in source documents, cited to the publisher, and logged.
Every Monday, summarize new SEC, FINRA and CFTC notices touching equity market structure, flag anything effective in the next 30 days, and cite each source.
The same principles run through everything we build. They're what make AI trustworthy enough to put into production at a financial institution.
Agents run the repetitive work; people keep judgment and accountability. Nothing high-impact happens without review.
Built around real capital-markets sources — filings, regulatory notices, market-structure changes, the Fed — not a general assistant.
Every answer links to its source document and every call is logged — attributable end to end. Connect your own data later, and each call is entitlement-checked against the caller.
Deploy in your own AWS or a dedicated single-tenant instance. Your data stays isolated; we support the machine, not the investments.
We build with a small number of institutions rather than selling to many. A staged engagement where each phase produces something real and an explicit decision to continue.
Delivered directly or alongside our implementation partners. Many engagements start with a six-week public-data pilot; the staged partnership below is for clients connecting their own systems.
Align on the workflows, systems, and governance requirements that matter most in your operation.
Weeks 1–4Stand up a working agent against one real workflow, in an environment that fits your security posture.
Weeks 5–12Run it with real users and data under supervision; measure the impact and harden the controls.
Months 4–6Extend to additional agents, systems, and teams under a roadmap shaped together.
BeyondWhether you want to see PRISM live, scope an agent for your desk, or explore a design partnership — tell us what you're working on.