of surveyed buy-side firms report GenAI use cases in their research process.
Substantive Research & Aiera, July 2026 (35 of the largest global asset managers)Your research. Your clients. Your commissions.
Buy-side AI is reading your research. Make sure you get the credit and the commission.
Inginuiti makes your research archive entitled, citable verbatim and attributable, whether a client's desk or its AI reads it. It works alongside your existing stack.
For research, sales & trading, and compliance teams at brokers and independent research providers.
Buy-side team? Explore buy-side access →Why now
Buy-side AI has arrived. Research licensing hasn't caught up.
name broker research as the most valuable machine-readable input for their internal AI.
Same surveysay broker and data licensing restrictions are the biggest barrier, ahead of compliance and entitlements (54%).
Same surveyYour clients want to read your research through AI. Inginuiti lets them, inside your entitlements, with every passage cited and every read attributed.
For Sell Side
One governed layer. Two ways to activate it.
Inginuiti sits between your published research and everyone who consumes it—your own desk and your clients' AI tools.
01
Owned Data Layer
Structure every current and historic research report into a permissioned, queryable repository without altering a single word of analyst prose.
02
Sales & Trading Velocity
Surface the historical or newly published thesis relevant to a client mandate on demand, complete with page-level PDF citations.
03
Buy-Side AI Attribution (MCP)
Expose entitled research to buy-side AI workflows through a governed MCP endpoint, with every consumption event permissioned and logged for attribution.
04
Fits Your Stack
Deploy alongside your current authoring system, portal, and CRM. No disruption to analyst publishing workflows.
How it works
From published PDF to governed action.
Three stages, each with a defined rule for what is deterministic and what a human approves.
Stage 01
Deterministic Ingestion & Entitlement Gating
Published PDFs are parsed deterministically. Ratings, price targets, and verbatim passages are indexed behind your existing client entitlement rules.
[EXAMPLE DATA]
Example Securities — Northwind Energy plc (Upgrade to Buy, TP 420p)
Ticker: NWND.LSector: UK EnergyRating: BuyEntitlement: Institutional Tier 1
[DETERMINISTIC]
Stage 02
Entitled Retrieval & Grounded Synthesis
Whether queried by your internal sales desk or an entitled buy-side MCP client, the layer returns verbatim passages linked to exact PDF page numbers.
[EXAMPLE DATA]
[ENTITLEMENT VERIFIED]Source: p.4, ¶2
[GROUNDED AI — HUMAN REVIEWED]
[1] p.4 ¶2
Stage 03
Human-Reviewed Desk Action & Audit Trail
For internal Sales & Trading, client outreach drafts require explicit human review before sending. Every internal action and external MCP query is logged for compliance and commission discussions.
[EXAMPLE DATA][DRAFT — REQUIRES SALESPERSON APPROVAL]
[ATTRIBUTION LOGGED]2026-10-14 09:12 UTC
Governance
Deterministic where it matters. Human-reviewed where it counts.
Source research is not altered or enriched. The platform separates deterministic retrieval from grounded AI assistance at every stage.
| Process stage | Execution type | Output & governance rule |
|---|---|---|
| Document ingestion & structuring | [DETERMINISTIC] | Extracts ticker, sector, rating, target price, analyst, date, and hierarchy without altering source text. |
| Entitlement & access verification | [DETERMINISTIC] | Enforces firm and client permissioning before any query or MCP call executes. |
| Verbatim passage retrieval | [DETERMINISTIC] | Returns exact source paragraphs linked directly to page numbers in the original PDF. |
| Grounded synthesis & client outreach | [GROUNDED AI — HUMAN REVIEWED] | Clearly labelled summaries and draft client notes grounded strictly in cited passages; nothing reaches a client without salesperson approval. |
Inginuiti does not generate independent trade ideas, price targets, or investment ratings.
FAQ
Questions from Research, Sales & Trading, and Information Security.
Is Inginuiti live today?
We're inviting a small number of firms to see Inginuiti on a scoped sample of their published research, before any commercial commitment.
Is Inginuiti an autonomous AI agent?
No. Inginuiti is a governed research data layer paired with human-in-the-loop desk activation and an entitled MCP gateway. It does not act autonomously with clients, and it does not alter analyst research.
Does Inginuiti change, enrich, or reinterpret our research?
No. Source research is not altered. Cited passages are returned verbatim with links to the original PDF page. Any generated summary or outreach draft is explicitly labelled, grounded strictly in cited source text, and reviewed by a salesperson before it reaches a client.
How do we protect our IP as buy-side clients adopt AI?
Through Inginuiti's MCP layer, buy-side AI tools query your research through an authenticated, entitlement-checked gateway rather than scraping PDFs without attribution. You control access at the client and user level and retain a consumption log to support commission reviews.
Do we have to replace our publishing platform or CRM?
No. Inginuiti sits alongside your existing research authoring, distribution, and CRM systems.
How is data isolated and secured?
Research is tenant-isolated, access is checked against entitlements, and queries are audit-logged. Read our security overview for more detail.
How is Inginuiti priced?
Commercial terms are tailored to desk scale and deployment architecture. Book a demo to start a conversation with our team.
See Inginuiti on your own research.
We show your desk the result on a scoped sample of your published research, before any commercial commitment.