Financial
Earnings quality, cash reconciliation, working capital, revenue recognition, customer economics, and contract terms.
Institutional Decision Engine
Powered by advanced financial data analytics—transforming complex data rooms, Quality of Earnings reports, and covenant structures into definitive investment decisions.
Sample report: synthetic Project Atlas IC working draft.
THE VERDICT SUITE / PRODUCT PREVIEW
From Quality of Earnings to credit underwriting and portfolio surveillance, Verdict is building the diligence suite for institutional capital.
Concept preview of the planned suite. The working Atlas demonstration is one infrastructure workflow; the services below are in development. Discuss your mandate with the co-founders.
01 / VERDICT Screen
Evidence inputs
Teaser / CIM
Sector benchmarks · opportunity screening
02 / VERDICT Flag
Evidence inputs
Earnings / cash / contracts
Material flags · scope for full diligence
03 / VERDICT QofE
Evidence inputs
General ledger / bank / customer records
Adjusted EBITDA · proof of cash · working capital · debt-like items
04 / VERDICT Rating
Evidence inputs
Power / water / permits / land
Deliverability · condition matrix · economic consequences
05 / VERDICT Credit
Evidence inputs
Borrower financials / loan tapes / covenants
Collateral · loan performance · covenant headroom
06 / VERDICT Monitor
Evidence inputs
Asset / borrower updates
Changes · conditions · follow-up review
07 / VERDICT Portfolio
Evidence inputs
Holdings / engagement evidence
Portfolio view · recurring diligence
08 / VERDICT Look-Through
Evidence inputs
Manager / asset / credit exposure
Cross-manager view · concentration
09 / VERDICT Intelligence
Evidence inputs
Aggregated, anonymized evidence
Benchmark layer · data feeds · channel licenses
THE 30-SECOND INSTITUTIONAL PITCH
Verdict AI is an Institutional Decision Engine built for private equity, credit sponsors, institutional investors and sovereign wealth deploying global capital.
By running advanced financial data analytics across thousands of historical deal cohorts, balance sheets, and QoE models, our platform applies algorithmic pattern recognition to unearth hidden downside risks, validate add-backs, and deliver automated, defensible underwriting verdicts in minutes instead of weeks.
Institutional platform vision. Historical-cohort analytics and automated underwriting are planned capabilities. The current live demonstration uses manual source review and deterministic screening.
AI-NATIVE COMPANY / AI-ENABLED ANALYSIS
AI is the operating architecture of Verdict—not a single feature in the diligence workflow.
Verdict AI is an AI-native company building AI-enabled institutional analysis. Specialist agents are designed to prepare and connect evidence; deterministic analytics calculate the consequences; senior professionals review, decide, and sign.
The company model extends agents across delivery, research, client success, methodology, finance, and operations. The live MVP establishes the evidence and screening foundation; the agent workforce is the next development layer.
How the AI-native model works →Read documents, identify claims, link sources.
Apply deterministic math, scenarios, and gates.
Challenge findings, approve the basis, sign the output.
THE INSTITUTIONAL SUITE / ROADMAP
From the first teaser to complete earnings, cash, working capital, and contract analysis.
Explore the mandate →RatingExamine power deliverability, water and thermal needs, land use, and project economics.
Explore the mandate →CreditConnect borrower quality, loan performance, collateral, payment flows, and covenant headroom.
Explore the mandate →Monitor / Portfolio / Look-ThroughFollow the asset, borrower, and manager exposure through the life of the hold.
Explore the mandate →IntelligenceTurn aggregated learning into benchmarks, indices, data feeds, and channel licenses.
Explore the mandate →THE DECISION ARCHITECTURE
Earnings quality, cash reconciliation, working capital, revenue recognition, customer economics, and contract terms.
Power and interconnection, water and thermal requirements, land use, permitting, technical readiness, and delivery.
Borrower financials, loan tapes, collateral eligibility, covenant definitions, payment flows, and debt capacity.
The plan connects every finding to its source and every material assumption to its financial consequence.
A shared evidence graph, deterministic analytics, and professional review are the foundation of the proposed institutional architecture. The live MVP demonstrates analyst-recorded evidence and code-calculated screening.
Inside the platform architecture →ACROSS THE DEAL LIFECYCLE
| Transaction Stage | What Verdict AI Delivers | Data Analytics & Pattern Function |
|---|---|---|
| Sourcing & Screening | Pre-LOI Scoring Verdict | Scans preliminary teasers & CIMs against sector benchmarks to eliminate bad leads early. |
| Deep-Dive Diligence | Automated QoE & Risk Matrix | Identifies margin decay, customer concentration, and working capital peg discrepancies. |
| Investment Committee | One-Page IC Verdict Memo | Synthesizes quantitative risk scores, stress-test scenarios, and covenant debt capacity. |
| Hold & Exit | Continuous Verdict | Tracks covenant headroom, KPI trends and asset milestones, then hands the exit team a ready data book. |
Institutional suite / planned capabilities. Each stage feeds the evidence graph the next stage draws on.
WHERE VERDICT PLAYS
Data centers, powered land, fiber, towers, generation, storage, transmission, and water.
Fintech, lenders, payments, insurance platforms, software, and technology services.
Business services, industrials, healthcare services, roll-ups, carve-outs, and founder-owned companies.
EVIDENCE, METHODOLOGY, JUDGMENT
Source attribution. Evidence-led analysis. Professional accountability.
The institutional plan combines specialist agents with senior review, published methods, and governance for conflicts and reliance. Those controls have to be developed and validated before signed institutional outputs.
Today’s product makes findings, evidence coverage and unresolved conditions visible. The distinction is visible throughout the site.
Evidence and trust →LIVE DEMONSTRATION / DATA-CENTER DILIGENCE
Project Atlas: 120 MW planned. 77 readiness. 69% evidence confidence. V2: proceed with conditions.
Inspect structured intake, six diligence categories, source review, unresolved conditions, and an IC working draft. All Atlas data and documents are synthetic.
Understand the live workflow →
CO-FOUNDERS
Co-Founder. Former CIO of CalPERS, the Alaska Permanent Fund Corporation, and Gulf Investment Corporation.
Co-Founder / Product Founder & Architect. Founder of Kingmaker Inc, the AI venture studio behind Verdict, with a background in clean energy and impact investment banking.
Verdict brings institutional investment judgment and infrastructure experience into a product designed around evidence and decision preparation.
THE NEXT DECISION
Explore the live data-center demonstration or speak with the co-founders about financial diligence, infrastructure, credit, and portfolio intelligence.