The Sovereign Platform for Institutional Capital Underwriting.
Agents of Diligence orchestrates air-gapped, six-agent investment teams to ingest Virtual Data Rooms, model complex target risk, and codify institutional memory — natively deployed inside your private cloud under strict Zero Data Retention mandates.
- Diligence cycle
- 21 days
- With Agents of Diligence
- <5 minutes
- Overhead saved / pass
- $60,000
Multi-agent topology
5 specialists. 1 critic. 1 writer.
Coordinator dispatches Auditor, Legal Sentry and Market Oracle in parallel. Critic reconciles. Writer ships an IC memo.
Market context · 2026
The capital is here. The analysts aren't.
Global private capital sits on a record dry-powder pile and a 29,000-company unsold backlog. Deal teams cannot scale humans fast enough — every dollar of new AUM creates more diligence work, not less.
The gap
Seven point tools. Zero system of record.
Every firm cobbles a workflow across terminals, VDRs, Excel and email. Nobody owns the end-to-end pipeline — and nobody owns the memory that compounds across deals.
| Tool | Due Diligence | Legal Risk | Valuation | IC Memo | Learning Memory |
|---|---|---|---|---|---|
| Bloomberg Terminal | |||||
| S&P Capital IQ | |||||
| PitchBook | |||||
| Diligent / Datasite VDR | |||||
| Excel + Word | |||||
| Rogo (chat) | |||||
| Harvey (legal) | |||||
| Agents of Diligence |
Rogo does chat. Hebbia does grid. Cyndx does comps. Harvey does law. None do all four, with self-learning, at outcome pricing. That is the gap. We close it.
The problem · quantified
One mid-market deal burns 160 hours and $60K. Then the firm forgets everything it learned.
More mandates, same team
3 weeks
Elapsed deal time per analyst pass
120-160 hrs
Analyst hours @ $250-400/hr blended
$30-60K
Cost per single $500M target diligence pass
35%
Of deal-team capacity burned on memo assembly, not analysis
30%1
Of busted deals trace back to red flags missed in DD
Multiply by global deal volume
~185K diligence passes per year, globally — and zero of those learnings persist firm-wide.
50,000 PE deals + 35,000 M&A deals + 100,000 valuation engagements. Every junior analyst repeats the same mistakes the last cohort made.
The solution
Sovereign enterprise ingestion. Zero-trust processing of complex data rooms.
Agents of Diligence coordinates isolated specialist workflows to process sensitive corporate data — VDRs, CIMs, internal records — while ensuring zero MNPI leaves your secure perimeter.
Input — enterprise data sources
- Virtual Data Room (VDR)
- Confidential Information Memorandum (CIM)
- CRM / internal records
Multi-agent engine
- Audit
Auditor
Red-flag heatmap
- Legal
Legal Sentry
Liability + change-of-control map
- Value
Market Oracle
DCF + Comps + Precedent football field
- Sync
Critic
Cross-checks all specialist outputs
Output — 3 minutes
Red-flag heatmap
Auditor
Liability + change-of-control map
Legal Sentry
DCF + Comps + Precedent football field
Market Oracle
Critic-validated assumptions w/ citations
Critic
40-page IC memo (.pptx + .docx + Excel)
Writer
Every correction → firm-wide rule, forever
Institutional memory
Reasoning core
Frontier reasoning models tuned for financial analysis — audited for consistency on valuation and diligence tasks.
Orchestration
Resilient workflow orchestration — if one step fails, the run recovers without losing deal context.
Memory layer
Tiered institutional memory — firmwide, sector, and deal-specific — indexed inside your perimeter.
Architecture
A graph, not a chatbot.
A coordinator breaks each mandate into parallel workstreams — audit, legal, and valuation — then a Critic reconciles conflicts before the Writer assembles board-ready outputs. Every partner override is captured as firm knowledge for the next deal.
01 · Plan
Coordinator
Decomposes the deal into typed tasks; routes to specialists.
02 · Specialist analysis (parallel)
Auditor
Reads filings; surfaces accounting red flags & quality score.
Legal Sentry
Maps liabilities, change-of-control, material litigation.
Market Oracle
DCF + Comps + Precedents triangulation; football field.
03 · Reconcile
Critic
Cross-checks specialist outputs; recommends haircut + diligence list.
04 · Ship + Learn
Writer
Generates IC memo + .pptx + .docx + Excel model with citations.
Institutional memory
Each analyst correction becomes a firm rule, applied automatically on the next deal in the same sector and geography.
Institutional knowledge is organized in three tiers — firmwide, sector, and deal-specific — and stays inside your perimeter. Every step of the run is visible in one workspace: what each specialist reviewed, what it concluded, and what changed before the memo ships. Same experience as the live Agents of Diligence demo.
TAM · SAM · SOM
$110B market. We need 0.4% to build a billion-dollar business.
TAM = global PE + VC + M&A advisory + audit + valuation software. SAM = the four workflows we ship today. SOM = a defensible 5-year capture across our six-tier GTM.
TAM
$110B+
PE + VC + M&A + Audit + ValSW
SAM
$18B
DD + Valuation + IC memo workflows
SOM
$450M @ 5yr
3% of SAM, T1-T6 blend
Capture math
500 T4/T5 enterprise accounts × $250K ACV = $125M. Add 25K T1/T2 self-serve seats and a single-digit T6 DDaaS book and we cross $450M run-rate by year 5.
That's 3% of SAM — well inside what comparable category winners (Hebbia, Rogo, Harvey) have already proven achievable.
Who we serve
One engine. Six ways to win mandates.
Agents of Diligence packages the same multi-agent deal team for every buyer persona — from solo analysts to enterprise DDaaS.
Private Equity
Today
Spreadsheets + scattered memos
With Agents of Diligence
Triangulated valuation + DD in minutes
Venture Capital
Today
Analyst bottlenecks per deal
With Agents of Diligence
Diligence-as-a-service per partner
Investment Banking
Today
Manual pitch books
With Agents of Diligence
Per-mandate agent team + football field
Corporate Development
Today
Outsourced boutiques
With Agents of Diligence
In-house IC-ready artifacts
Audit / CA
Today
Template-driven repetition
With Agents of Diligence
Self-serve T1/T2 with firm-wide rules
Valuation Software
Today
Point calculators
With Agents of Diligence
Multi-agent reference engine
Go-to-market · 6 tiers
Same engine. Six packaging tracks. One business that sells to a CA in Indore and a Blackstone MD.
Pricing power proof: one Tier-5 enterprise client equals 50 Tier-1 Pro subscribers in revenue. One Tier-6 success fee on a $500M deal at 10 bps covers the entire engineering team for a year.
| Tier | Persona | Price | ACV | GM |
|---|---|---|---|---|
| T1 | Solo Analyst Independent analyst, equity researcher, freelance CA | Free / $49 Pro | $590 | 85% |
| T2 | Startup Founder Founder running fundraise / acquisition prep | $99 / mo | $1,188 | 82% |
| T3 | VC Fund Seed-to-Series C VC, 5-10 seat team | $2,500 / seat / mo | $150K | 78% |
| T4 | CA firm / Boutique IB 10-50 partner firm, valuation + transactions practice | $50K / yr base + usage | $120K | 72% |
| T5 | PE / Bulge-Bracket IB $1B+ AUM PE fund or BB IB | $300K-$1M / yr enterprise | $600K | 68% |
| T6 | Enterprise DDaaS Outcome-priced managed diligence engagements | 10 bps of deal value (success fee) | $500K+ per engagement | 55% (services) |
Why the long tail buys
T1/T2 wins because 80% of CA-firm valuation work is template-driven repetition. We do not replace the CA's signature — we replace the 80 hours of grunt work behind it.
Why enterprise buys
T5 buys because the KB compounds firm-wide knowledge — every associate's mistake becomes a guardrail every other associate inherits. No competitor offers this loop.
Why an individual analyst picks us
We replace 80 hours of grunt work, not the signature.
The dirty secret of the long tail: 80% of CA-firm valuation work is template-driven repetition. T1/T2 eats that lunch. CA firms that adopt us deliver 5× more engagements per partner. CA firms that don't lose mid-market clients to us.
| Workflow step | Solo CA today | With Agents of Diligence T1 | Win |
|---|---|---|---|
| Pull filings, comparables, ratios | 8-12 hrs Manual; coverage gaps | 30 sec Auto + cited | |
| Build DCF + comps + precedent triangulation | 20-30 hrs Excel template, no peer auto-screen | 60 sec Three methods, football field | |
| Surface accounting red flags | 10-15 hrs Senior partner only; not repeatable | 45 sec Auditor agent + KB rules | |
| Draft 40-page memo | 15-25 hrs Word + screenshots | 30 sec .docx + .pptx + Excel model | |
| Sign-off + regulatory submission | 2-4 hrs Required; CA stamp | — We do NOT replace the signature |
Data strategy
We are not building another terminal. We are the agent layer on top of the terminals firms already pay for.
Today's hackathon demo runs on 100% public data — yfinance, SEC EDGAR, FRED, Tavily — so anyone can paste a ticker and see the pipeline run end-to-end with zero licensing friction. Production unlocks institutional connectors per tier.
| Tier | Public APIs | PitchBook | Capital IQ | Daloopa | Bloomberg B-PIPE | FactSet | AlphaSense | Tegus |
|---|---|---|---|---|---|---|---|---|
| T1 / T2 | ||||||||
| T3 VC | ||||||||
| T4 CA / Boutique | ||||||||
| T5 PE / BB IB | ||||||||
| T6 Enterprise DDaaS |
India production stack adds ICAI databases and MCA21 filings for domestic deals. AlphaSense and Tegus expert calls plug into the Auditor and Market Oracle agents as additional retrieval tools — same Pydantic-typed responses, no agent rewrites required.
Technical superiority
The moat isn't the LLM. It's the KB that compounds with every correction.
Competitors ship single-agent chat-with-documents (Rogo, Harvey, Hebbia) or deterministic calculators (Cyndx Valer, Equidam). Generic LangChain wrappers have no memory, no critic, no error recovery. Agents of Diligence is the only product shipping all of it.
Multi-agent failure recovery (out of 47 tool-call failures)1
Higher = better
LangGraph recovers 2.3× more failures than CrewAI. We adopt LangGraph by default; competitors built on naïve frameworks will spend 18 months catching up.
Three layers of moat
- 1. Multi-agent topology
Coordinator + 4 specialists + Critic + Writer. Parallel execution with declarative fallback edges.
- 2. Self-learning KB
Three-layer KB (central / industry / client) keyed by NAICS and region. Each correction → typed rule, replayed forever.
- 3. Critic-gated outputs
Cross-specialist reconciliation prevents the single-agent hallucination failure mode that plagues chat-only products.
Anthropic Claude Opus 4.7 leads finance reasoning evals1 — but our architecture is LLM-portable. We can swap models the day a better one ships.
The 2x2
Top-right is empty. We move in.
X-axis: workflow depth (chat → end-to-end pipeline). Y-axis: learning memory (none → self-improving KB). The bottom-left is replaceable calculators. The bottom-right is chat-with-docs. The top-left is vertical-deep but single-agent. The top-right — multi-agent + deep workflow + KB — is empty.
Competitive landscape
Bubble size ≈ relative scope
Equidam
Calculator
Fundreef
Calculator
Cyndx Valer
Comps engine
Hebbia
Doc grid
Rogo
IB chat
Harvey
Legal chat
Agents of Diligence
Multi-agent + KB
Why Agents of Diligence
The only product shipping agents, triangulation, and a compounding KB.
Competitors offer chat-with-documents or single-method calculators. Agents of Diligence orchestrates a deterministic full deal team — then learns from every correction.
01
Deterministic valuation core
WACC, DCF, comps, and precedents computed in code — LLM supplies judgment only.
02
Multi-agent orchestration
Auditor, Legal, Tax, and Oracle in parallel; Critic reconciles before the Writer ships.
03
Self-learning industry KB
Every analyst correction becomes a typed Mem0 + markdown rule for the next deal.
04
Live triangulation UI
Trace, artifacts, and citations stream in real time — board-ready in one session.
05
Ground-deal math
EBITDA bridge, equity bridge, sensitivity grid, and applied Critic haircut on staging.
06
Public-data demo today
Paste any ticker on yfinance/cache fundamentals; institutional data unlocks per tier.
The one-liner to remember
Agents of Diligence is the sovereign underwriting infrastructure that never sleeps, never forgets institutional memory, never repeats a diligence error — deployed natively inside your private cloud.
Appendix
Sources
Every load-bearing claim in this deck links here. Accessed May 2026.
- Bain & Company — Private Equity Outlook 2026: Gaining Traction. link
- Bain & Company — Private Equity Outlook 2025: Is a Recovery Starting to Take Shape?. link
- KPMG — Venture Pulse Q4 2025 — Global Trends. link
- Crunchbase News — Global Venture Funding 2025: Third-largest year on record. link
- Mordor Intelligence — Private Equity Market — Size, Share & Forecast 2025-2031. link
- Mordor Intelligence — M&A Advisory Services Market — Size & Forecast. link
- Mordor Intelligence — India Accounting Services Market — Size & Forecast. link
- Mordor Intelligence — Business Valuation Software Market — 2024-2035. link
- Institute of Chartered Accountants of India — ICAI Member & Firm Report 2025 (1,00,138 firms; 72% solo practices). link
- Sacra — Harvey AI — Revenue, Valuation & Funding ($11B / ~$190M ARR). link
- TechCrunch — Harvey raising at $11B valuation. link
- CB Insights — Rogo — $750M valuation, $310.5M raised across 7 rounds. link
- Rogo — Scaling Rogo: $75M Series C and European Expansion. link
- The Editorial — Best AI Agent Frameworks 2026 — LangGraph 41/47, AutoGen 34/47, CrewAI 18/47 recoveries. link
- Anthropic — Claude Opus 4.7 — leading scores on financial reasoning evals. link
- Industry surveys (Deloitte, Bain, McKinsey) — M&A failure mode surveys — DD-related red flags drive ~30% of busted deals. link