Cross-Surface Due Diligence Inference
Extract and continuously reconcile signals across email threads, decks, designs, websites, code, and public presence by grounding every bet in a living diligence ontology that updates as new evidence appears.
Due Diligence Is Fragmented
Every founder tells a coherent story. The evidence lives everywhere else.
Investment decisions require reconciling claims across emails, decks, Figma/Canva, websites, LinkedIn, DMs, and code snapshots.
Each surface presents a different version of reality, optimized for a different audience.
Signal gets buried under narrative polish, outdated artifacts, and performative metrics.
Humans end up re-opening the same materials repeatedly to answer: "Do these things actually line up?"
Current Bottleneck
Manual triangulation across tools and conversations forces investors to rely on memory and intuition—and makes it easy to miss contradictions, missing proof, or timing drift.
Atlas Solution
Atlas builds a living diligence graph that links claims to evidence across all surfaces, flags what’s unverified, and preserves versioned understanding as new information arrives.
Access Advantage & Insight Protection
Atlas helps you see the full picture most investors never assemble—while keeping your diligence insights private and continuously validated by market movement.
Investor-grade governance (default)
- Private diligence workspace per candidate (separate projects; scoped access)
- Your notes, hypotheses, and derived insights are never exposed to founders or the wider market by default
- Encrypted storage and controlled exports for diligence memos and checklists
- Retention controls (delete on demand, time-boxed retention, or archive) for sensitive workstreams
- Audit log of every access, inference, export, and share event (who/what/when)
- Share-by-exception: granular permissions for partners/advisors without leaking your full thesis
Atlas keeps your differentiated insight set private, but still grounds conclusions in observable evidence and external signals—so you get the benefit of market validation without broadcasting your playbook.
Pilot Overview
4 weeks to evaluate 5–8 candidates
Each candidate is its own project. The goal is to know what’s real, what’s missing, and what doesn’t add up—fast.
Diligence Inbox
Signal Memo
Must-Verify Checklist
Product Weaver provides access to selected diligence surfaces (docs, decks, sites, design artifacts, code snapshots, public presence).
Atlas converts each surface into Natural Partitions (claims, artifacts, metrics, timelines) with traceable provenance.
Claims are linked to supporting or missing evidence with confidence scores and a must-verify checklist.
Understanding evolves over time with a full change history as new info arrives mid-evaluation.
Impact Tracked
Primary: Signal clarity · Secondary: Review load reduction
Claim–Evidence Alignment
How many key claims are grounded in concrete, cross-surface evidence
Maps “what’s claimed” → “what proves it” → “what’s still missing” with provenance.
Baseline
Implicit / intuition-based
Target
Explicit, versioned mapping
Review Load
Number of artifacts a human must open to reach conviction
Measures avoided re-reading and reduced surface switching across tools.
Baseline
High, repetitive
Target
≥70% reduction
Week-by-Week Structure
3 weeks to conviction
Setup + Definitions
- Define diligence ontology (claims, traction, product maturity, team, risk)
- Agree on pilot scope and access boundaries (surfaces, candidates, retention)
- Define output formats (signal memo + red-flag / must-verify checklist)
Output: Signed-off pilot plan + diligence schema
Baseline Pass
- Run Atlas on first 2–3 candidates
- Review surfaced signals, gaps, contradictions, and time drift
- Calibration: reduce false positives, add missing signal categories
Output: Baseline signal map + noise identification
Iteration + Expansion
- Incorporate reviewer feedback (what was missing / misleading)
- Run Atlas across remaining candidates
- Compare candidates on normalized dimensions (evidence-backed deltas)
Output: Delta insights + comparative diligence views
Results + Go/No-Go
- Compile final diligence memos and must-verify checklists per candidate
- Identify best-fit workflow for ongoing use (single investor vs firm-wide)
- Define post-pilot integration scope if positive
Output: Go / no-go decision + rollout plan
Engagement Includes
4-week pilot investment
Includes
- Pilot setup + diligence ontology alignment
- Versioned signal memos per candidate (claims × evidence × confidence)
- Must-verify checklists for conviction readiness
- Change-tracking as new info arrives mid-evaluation
- Weekly review + iteration loop
- Final report + go/no-go recommendation + rollout plan