Deep diligence that survives partner scrutiny and LP audit
Structured workstreams, evidence trails, and AI-assisted analysis
Light diligence is fine for triage. Anything that reaches IC needs deep work, and deep work is where most funds break down. Workstreams scatter across analysts. Evidence sits in three Drives. The IC memo cherry-picks the convenient bits.
Reuben AI structures deep due diligence as a set of workstreams: commercial, financial, legal, technical, ESG, and reference. Each workstream has owners, evidence requirements, and AI assistance for the synthesis steps.
Why diligence quality is uneven
Diligence quality varies because the work is unstructured. A senior partner does it one way. A new associate does it another. The IC has no consistent way to compare deals because the underlying work is not consistent.
Reuben AI removes the variance by structuring the work itself, not just the output.
How it works
Workstream templates
Customisable templates for commercial, financial, legal, technical, ESG, and reference workstreams. Add fund-specific workstreams as required.
Evidence binding
Every claim in the diligence summary links to the underlying document, data point, or interview note. No claim survives unsourced.
AI-assisted synthesis
Once the evidence is in, the AI produces a first-draft synthesis per workstream. Analysts edit, partners review, the IC reads the curated version.
Reference and back-channel tracking
Structured reference call notes with attribution and confidence. Back-channel signals tagged and weighted distinctly from formal references.
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What deep diligence unlocks
Diligence that survives partner debate: every push-back can be answered with evidence, not opinion. Diligence that survives LP audit: years later, you can show exactly what you knew when.
Most importantly, diligence that compounds. Every deal teaches the firm something. Reuben AI makes those lessons reusable.
Frequently asked questions
Can we customise workstreams per asset class?
Yes. Private credit diligence looks different from venture diligence. Set workstream templates per asset class or per strategy.
Does the AI replace human judgement?
No. The AI handles synthesis and surfacing. Judgement stays with partners. The platform makes that judgement defensible.
How does this support cross-fund learning?
Diligence patterns from prior deals are surfaced when relevant: similar sector, similar stage, similar founder profile.
How does deep due diligence handle confidential founder data?
Founder-submitted documents are isolated per organisation with role-based access controls. Nothing is used to train third-party models. Reviewer access is logged and exportable per deal.
Can deep diligence run on PE LBO and growth equity targets, not just venture deals?
Yes. The deep diligence workflow ships with PE templates including QofE summary generation, debt structure analysis, value-creation-plan diligence and operational DD, alongside the venture templates.