Analysts, operations, and compliance teams need a sourced answer from the right document — not a search page across research, filings, and procedures. We build retrieval-augmented generation that grounds every answer in your own corpus with a citation to the controlling text, deployable on-prem so MNPI and client PII never leave your boundary.
A bank or asset manager runs on text: equity and credit research, regulatory filings and disclosures, product and policy documentation, KYC/AML procedures, and the compliance manuals that govern all of it. The answer an analyst or a compliance officer needs almost always exists somewhere in that corpus — but it is scattered across systems, versioned, and entitlement-controlled, so finding the governing passage by hand is slow and getting it wrong is expensive.
We treat retrieval as the place accuracy is won. We index your financial corpus into a pipeline that finds the passage that actually answers the question — across near-duplicate document versions and dense tabular disclosures — and constrains the model to answer only from what it retrieved, with a citation to the filing, note, or procedure section. The whole stack runs inside your environment, with retrieval scoped to each user's entitlements and information barriers enforced at the index, so material non-public information and PII stay where they belong.
A retrieval layer engineered around financial accuracy, controlled information, and the audit trail your regulators expect.
Value concentrates wherever a sourced answer already exists in your corpus but is too slow, too scattered, or too risky to retrieve by hand:
Yes. We deploy the retrieval and inference stack inside your environment — on-prem or in your controlled cloud tenant — so material non-public information, client PII, and proprietary research never leave your boundary. Retrieval is permission-scoped to a user's entitlements, and information-barrier rules are enforced at the index level so a query cannot return content the user is walled off from.
Every answer is grounded in retrieved passages and cites the exact filing, research note, or procedure section it came from, with the version and date attached. We run a retrieval and answer evaluation harness against a labeled question set from your real corpus, tracking recall, faithfulness, and citation accuracy, and we log each query and its sources so compliance can reconstruct how any answer was produced.
Bring a slice of your research, filings, or compliance corpus and the questions your teams ask daily. In thirty minutes we will show how engineered, cited retrieval answers them on infrastructure you control. Response inside 24 hours.
As an enterprise AI agency, eeko systems delivers production AI systems remote-first across the United States and internationally — including these markets: