Connect evidence across every workstream into one decision-ready view. Buy-side or sell-side. Know what matters, what's missing, and what to do next.

Market Signals
Decision Readiness
ADVANCE WITH RISKS
Commercial
Technology
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Diligence Interview Agent
Live · Commercial DD
Diligence Agent
Can you walk me through what drove the churn spike in Q3?
Sarah Chen, CFO
That was largely one enterprise contract that...
Contradiction Detected
CFO claims churn stable at 5% - CRM shows renewal rate declined 12pp over 4 quarters
Priority Actions
Hypothesis Supported
“Revenue quality is acceptable”
Each workstream is powered by a specialized AI agent that reasons through a structured framework-then findings converge into a single cross-functional view for the deal team.
Market sizing, competitive landscape, customer concentration risk, revenue quality scoring, NPS & retention analysis
Architecture, code quality, IP assets, engineering health metrics
Revenue verification, earnings quality, cash flow & working capital
Material contracts, litigation risk, regulatory compliance gaps
Leadership assessment, workforce analysis, culture & retention risk
Attack surface analysis, compliance certs, incident history review
Not another VDR like Datasite, M&A suite like DealRoom, or DDQ platform like DiligenceVault. This is the layer that answers: what does the deal team believe, what worries them, what's missing, and should they do this deal?
Surface risks by theme, not by document. Legal, financial, commercial, tech, and people issues converge into one prioritized view so nothing falls between the cracks.
Deep research synthesizes all evidence-docs, transcripts, questionnaire responses-into publication-ready memos with sourced findings, not hallucinated summaries.
Insights surface automatically from your deal history. "In 8/10 similar deals, customer concentration above 25% led to renegotiation." The pattern library grows with every engagement.
Peel the onion. Stage gates ensure you validate the biggest risks first, spend more only as confidence grows, and minimize dead-deal costs if you walk away.
Voice interviews with management, automated questionnaires, and GLG/AlphaSights expert call processing. Every transcript feeds directly into the hypothesis and contradiction engine.
Built for both sides of the table. Buy-side: test hypotheses and find deal killers. Sell-side: anticipate buyer objections, frame narratives, and close gaps before going to market.
Traditional commercial diligence requires a team of 5-12 analysts spending weeks gathering market data, sizing segments, and building presentations. AI now handles 60-70% of that work in minutes. What matters is the senior lens - the pattern recognition from hundreds of deals - that turns data into insight.
Sigma Diligence gives your deal team the data-gathering power of a large consulting firm at a fraction of the cost - while keeping senior professionals focused on what they do best: insight, judgment, and the art of the deal.
Market sizing, competitor analysis, and data room review that used to take junior teams weeks - now completed in the time it takes to brew coffee.
Bull, base, and bear projections with sensitivity analysis. AI constructs business plans and growth models from your diligence findings.
Sequential stage gates let you validate the biggest risks first. Spend more only as confidence grows - minimize sunk costs if you walk away.
Continuity matters. Carry findings, hypotheses, and expert insights into a post-close 100-day growth plan. Hit the ground running on Day 1.
Upload data room documents or connect live integrations. AI agents index every file, cross-reference claims, and auto-configure to your target's industry - bringing specialist knowledge without the specialist price tag.
AI-driven interviews, expert call processing, and automated follow-ups fill evidence gaps. Sequential stage gates ensure you validate deal-killers first - minimizing dead-deal costs as you peel the onion.
Cross-functional synthesis - including sell-side readiness and scenario analysis - delivers IC-ready memos with cited evidence. Pattern recognition from past deals surfaces risks others miss.
Replace the 12-person analyst team. Each tool launches with one click, draws from your entire data room, and produces research-grade output in minutes.
Anticipate buyer objections, frame narratives, and identify gaps before going to market. Turn your buy-side diligence into a seller's advantage.
Bull, base, and bear projections with sensitivity analysis. Know which assumptions matter most for the investment case.
Recurring vs one-time revenue analysis, customer concentration scoring, retention metrics, and revenue durability ratings.
Structured competitor profiles, SWOT matrices, market share analysis, and competitive moat assessment - auto-populated from your data room.
Process GLG, AlphaSights, or Tegus transcripts. Extract claims, cross-reference hypotheses, and surface contradictions automatically.
Post-close value creation blueprint built from diligence evidence. Quick wins, strategic initiatives, and KPIs - ready for Day 1.
Buy-side and sell-side diligence intelligence
Download six Claude skills that turn Cursor into a due diligence analyst. Run high-level commercial, tech, financial, legal, people, and cyber scans on any company in minutes.
Get Free SkillsBuy-side diligence. Sell-side readiness. Scenario planning. Growth strategy. One platform replaces the 12-person team and gets you to IC memo in minutes - not weeks.