Company and asset level
Diligence with the company or asset as the subject: documents, financials, cap table, contracts and market position, each finding bound to its source.
Company and asset levelDiligence as infrastructure you can embed
Distribution platforms, marketplaces, registries, administrators and adviser networks are being asked for diligence depth their systems were never built to produce. Reuben AI supplies that layer beneath an existing surface. Your brand stays the front door, your data model stays authoritative, and the diligence engine produces evidence-backed findings inside the experience your users already use.
The front office moved, the middle office did not
Assistants and copilots have made preparation, screening and client documentation faster across the industry. The work underneath, which is evidence, reconciliation, defensible findings and an auditable record, has not moved at the same rate. That gap is where platforms feel the pressure, because a faster front end asking questions of an unchanged middle office simply surfaces the gaps sooner.
Four ways to embed it
White label puts the full diligence experience under your brand. Components let you place specific surfaces, such as an evidence panel or a memo view, inside pages you already own. An API keeps the interface entirely yours and treats diligence as a service. Agent access exposes the same capability to assistants you are building, so a copilot answers from sourced findings rather than from generated prose. Which option fits depends on how much of the experience you intend to own.
Coexistence, not replacement
Platforms at scale already have a warehouse, a data model and systems of record that are not moving. The realistic question is not migration but coexistence: which system remains authoritative for which entity, how identifiers are reconciled, and where the diligence record is written so it does not fork. That mapping is the first substantive piece of work in any integration, and it is done before scope, not after.
Built to pass a vendor and security review
An institutional integration is decided by the review, not the demo. Expect questions on data isolation between organisations, role-based access, logging and exportability of access records, subprocessor arrangements, data residency and what happens to your data on exit. We answer those directly, including where a control is not in place. Reuben AI is not SOC 2 certified, and we will not claim otherwise in a review pack.
Start with one segment and one workflow
Nothing about this needs to begin as a platform-wide programme. A scoped pilot on one investor segment and one workflow, with a defined evidence output and a clear success test, tells both sides more in six weeks than a year of architecture discussion. If the pilot works, the same integration pattern extends to adjacent segments without rework.
Diligence at three levels
The same engine runs at three altitudes. A company or asset can be the subject, a fund can be the subject, or a manager can be the subject. Findings at the lower level roll up, so a position in a fund can be read through to the underlying holdings and back out to the portfolio it sits inside.
Fund level
Diligence with the fund as the subject: structure, terms, jurisdiction, portfolio construction and existing holdings assessed on look-through.
Fund levelManager level
Diligence with the manager as the subject: track record, team, process consistency, operational controls and governance, evidenced rather than asserted.
Manager levelWhat makes the diligence deep
Diligence is only as good as the context behind the questions it asks. Credit diligence and venture diligence do not ask the same things, a fund in one jurisdiction is not assessed like a fund in another, and a company profile that stops updating at signing stops being useful. Asset class coverage, jurisdiction and vehicle structures, market research and continuously updating company and manager profiles all feed the same diligence record.
Asset class coverage
Native asset classes and sub-asset overlays, so evidence requirements differ by what is being assessed.
Jurisdictions and vehicles
Structures assessed against the conventions of the jurisdiction they are formed in.
Market research
Market structure and comparables attached to the deal rather than held in a separate document.
Living profiles and portfolio view
Company, fund and manager profiles that keep updating, and diligence findings that become the monitoring baseline.
Go deeper on diligence
Each page below covers one part of the diligence layer in detail. Start with the one closest to the decision you are making.
AI due diligence
How extraction, tiering and screening work across the document set.
Deep due diligence
Workstream templates, evidence binding and reference tracking in depth.
Due diligence platform
The platform view: what runs where, and on which investment record.
Due diligence automation
Which parts of diligence are automated, and which stay with people.
PE due diligence software
QofE summaries, debt structure and operational diligence for buyouts.
Best AI due diligence software
A direct comparison against generic assistants and traditional data rooms.
Questions we are asked in diligence demos
Do our users see Reuben AI?
Only if you want them to. White label and component embedding keep your brand as the interface. An API integration means Reuben AI is not visible at all.
How does this sit with our existing data warehouse?
It coexists. System-of-record ownership per entity and identifier reconciliation are agreed during integration mapping, so the diligence record attaches to your entities rather than creating a parallel truth.
What does a vendor review pack contain?
Data isolation and access-control design, logging and access-export detail, subprocessor and residency information, integration architecture and the pilot scope. Where a control or certification is absent, the pack states that rather than omitting it.
Can agents on our side call the diligence layer?
Yes. The capability can be exposed to assistants you operate so their answers are grounded in sourced findings and inherit the same access controls as human users.