Financial diligence
Planned senior transaction-services leadership owns the Quality of Earnings standard.
THE COMPANY
Verdict AI is an AI-native company building an AI-enabled Institutional Decision Engine for global capital. Financial diligence, physical asset intelligence, and credit share one evidence foundation.
OUR PURPOSE
Power must be deliverable. Commitments must be understood. The evidence must hold up.
Infrastructure investment depends on connected realities, often examined in disconnected documents. Verdict brings project assumptions, source records, and unresolved conditions into a common decision workspace.
We begin with data centers, where power, site readiness, design, demand, capital, and delivery meet in a single investment case.
CO-FOUNDERS
CO-FOUNDER
Russell brings institutional investment leadership to Verdict. His experience includes serving as Chief Investment Officer of CalPERS, the Alaska Permanent Fund Corporation, and Gulf Investment Corporation, and as Deputy Chief Investment Officer at Deutsche Asset Management.
He chaired the Investors’ Committee of the President’s Working Group on Financial Markets. At Deutsche Asset Management, he led 285 professionals across $250 billion. He holds a PhD and MA from Stanford University and an MBA and BA from the University of Chicago.
CO-FOUNDER / PRODUCT FOUNDER & ARCHITECT
Gary leads Verdict’s product vision and architecture. He founded Kingmaker Inc, the AI venture studio behind Verdict, and Red Rock Ventures. He is Founder and Managing Partner of Renewable Advisors and Founder of Sustainable Capital Markets. A former Vice President and member of the Morgan Stanley Clean Energy team, he brings twenty years of impact investment banking experience with transactions exceeding $20 billion.
Connect with the founding teamAI-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.
BUILDING THE INSTITUTIONAL TEAM
Planned senior transaction-services leadership owns the Quality of Earnings standard.
Planned methodology and infrastructure leads own weights, hard gates, confidence, calibration, and the domain view.
Founding AI engineering develops the specialist agents, evidence graph, deterministic analytics, and reusable delivery workflows.
OUR DIRECTION
A data-center diligence MVP with project intake, source review, readiness scoring, evidence confidence, conditions, and IC working drafts.
Validate the methodology, improve source review and decision history, and develop extraction and collaboration workflows.
Broader infrastructure, financial diligence, credit, and monitoring capabilities. This institutional suite remains a roadmap, not a description of the current product.
THE NEXT DECISION
Explore the live data-center demonstration or speak with the co-founders about financial diligence, infrastructure, credit, and portfolio intelligence.