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 levelDue diligence that carries its own evidence
Reuben AI runs financial, legal, operational, market and team diligence in parallel over the same document set. Every extracted claim is bound to the document it came from and tiered as self-reported, verified or triangulated. The investment committee memo is generated from those findings rather than transcribed from them, so the evidence chain behind a decision remains inspectable long after the decision is made.
The five workstreams run together, not in sequence
Most funds run diligence serially. Financial review waits for the data room to settle, legal waits for financial, market work happens in parallel with nothing, and the team assessment is a set of call notes in someone's inbox. The cost is not only elapsed time. When workstreams do not see each other, a customer concentration issue in the commercial review never meets the revenue recognition question in the financial review, and the connection surfaces at IC or later. Reuben AI opens all five workstreams over the same source material, so a finding raised in one is visible to the others while the work is still open.
Every claim is tiered against its source
A diligence finding is only as good as its provenance. Each extracted claim carries the document, the location within it and a tier: self-reported when it comes from material the target supplied, verified when it is confirmed against an independent document, triangulated when two or more independent sources agree. Claims without a source are flagged rather than quietly included. That distinction is what lets a partner challenge a conclusion in the room and get an answer from evidence instead of recollection.
The memo is generated from the findings
The IC memo is assembled from the underlying findings, with section-level confidence reflecting the tiering beneath it. Nothing is retyped, so the memo cannot drift from the work. Where evidence is thin the memo says so instead of smoothing over the gap, which is usually the most valuable line in the document. Analysts edit, partners review, and the committee reads a curated version that still points back to every source.
One deal, from data room to decision
A typical path: documents land in the workspace and are parsed natively, including financial statements, cap tables, contracts, board minutes and technical material. The five workstreams open with their evidence requirements attached. Extraction populates claims with sources and tiers. Reference and back-channel notes are captured with attribution and weighted separately from formal references. Open questions are recorded as open, not resolved by assumption. The memo is generated, reviewed, and the decision is recorded with the evidence that supported it. Years later the same record answers what the fund knew and when.
Where diligence sits in the lifecycle
Diligence is one stage of a longer record. Sourcing decides what enters the funnel and against which mandate. Diligence decides what survives scrutiny. Portfolio monitoring inherits the baseline the diligence established, so variance later is measured against what was actually underwritten. Governance and reporting draw on the same record rather than a reconstruction. Because all of it sits on one investment record, findings do not have to be re-entered at each handover, which is where most of the loss happens.
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.
Who this is built for
Diligence for venture capital firms
Consistent diligence across associates and partners, evidence that survives IC debate and LP audit, and round context that carries into follow-on decisions.
Diligence for venture capital firmsDiligence for platforms
Embed diligence as infrastructure: white label, components, API or agent access, coexisting with your existing data model and vendor review process.
Diligence for platformsGo 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
How does Reuben AI avoid hallucinated diligence findings?
Each claim is anchored to a source document and tiered as self-reported, verified or triangulated. Claims without a traceable source are flagged and excluded from the memo by default, so an unsourced statement cannot present itself as a finding.
Does this replace legal, tax or accounting diligence?
No. It structures and accelerates the analytical layer and produces evidence packs advisers can work from. Legal, tax and accounting sign-off remains with qualified advisers.
Can the workstreams be changed per strategy?
Yes. Workstream templates and evidence requirements are configurable per asset class or strategy, because credit diligence and venture diligence ask different questions of different documents.
How does diligence work start?
Every customer begins with a requirements session of at least 45 minutes, after which the workspace is configured to the fund's diligence process before anyone starts using it. Scope and terms are agreed during onboarding.