Blog
Insights on AI-powered diligence, PE deal operations, and the systems we're building at RunDD.
Why Due Diligence Needs an Agent-First Architecture
Traditional diligence tools digitize documents. RunDD orchestrates AI agents that work through structured frameworks — pulling evidence from live systems, not static PDFs. Here's why that distinction matters for defensibility.
Latest articles
The Hidden Cost of Unstructured Diligence
PE firms spend an average of 6-8 weeks on diligence per deal. Most of that time is spent searching, not analyzing. We break down where the hours actually go.
Building Multi-Tenant AI: Lessons from Isolating Diligence Data
How we architected RunDD's tenant isolation — dedicated schemas, vector namespaces, and encryption boundaries — without sacrificing performance.
140 Questions That Define Comprehensive Due Diligence
We open-sourced the thinking behind our six-workstream framework. Here's how we structured 140+ questions to cover commercial, tech, financial, legal, people, and cyber.
From Data Room to Defensible Report in Hours
A walkthrough of how RunDD's AI agents ingest a data room, map documents to framework questions, and produce evidence-traced findings.
What PE Operating Partners Actually Want from Diligence Tools
We interviewed 30 operating partners across mid-market PE firms. Their answers surprised us — and shaped our product roadmap.
Structured Outputs: Making LLMs Work for Financial Analysis
How we force AI agents to produce structured, schema-conformant findings with confidence scores and evidence citations — not freeform prose.
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