Deterministic ingestion.
Current and historic PDFs are parsed into structured fields such as ticker, rating and target price. The source text is not rewritten.
Sell-side research was built as documents for human readers. Inginuiti turns it into an entitled, verbatim-citable, auditable data layer, without changing a word of the source.
Current and historic PDFs are parsed into structured fields such as ticker, rating and target price. The source text is not rewritten.
Every retrieval is checked against your firm's existing client entitlements before anything is returned. This is rules-based, not model-based.
Every passage links to its page in the original PDF. AI-drafted summaries are labelled, grounded only in cited text, and need human approval before anything reaches a client.
What we don't do: generate trade ideas, ratings or price targets.
Sell-Side Desk Activation
Internal · salesperson approval before any send
Buy-Side MCP Gateway
External · entitled buy-side AI via MCP
Governed Research Data Layer
Owned by the publishing firm · alongside existing authoring, portal and CRM
Published research archive
PDFs and notes, current and historic · source text unchanged
Tenant isolation: each firm's research is logically separated.
In place
Audit logging of every query, retrieval and approval.
In place
Source research is not used to train foundation models.
In place
Deterministic entitlement checks.
In place
Research producers should keep control of their work, whether a client's desk or its AI reads it.
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We show your desk the result on a scoped sample of your published research, before any commercial commitment.