Hopfia perspectives on expert work and AI

Thinking from the product team on AI diligence, risk intelligence, knowledge graphs, verifiable analysis, and agentic workflows.

Exploring what useful AI for expert work should look like

Product updates and practical research on how data, agents, and evidence-centered work fit together.

PRODUCT01

From Static Diligence to Live Risk Intelligence

Why investment analysis and risk management should evolve whenever the underlying deal data changes.

AGENTS02

Autonomous AI Agents in Due Diligence

How specialized agents can execute complex diligence analysis as a structured sequence of work.

AGENTS03

Transcribing Your Investment Thesis into AI

How a firm can translate its investment thesis and decision criteria into a purpose-built agent workflow.

TRUST04

Institutional-Grade Intelligence for LPs

A look at purpose-built agent workflows for institutional-grade LP diligence intelligence.

WORKFLOW05

Open the VDR. Get a Risk Matrix.

How connected VDR data can be structured into a reviewable risk matrix.

PRODUCT06

The Log: February 2026 Update

A concise log of the major Hopfia product changes from February 2026.

PRODUCT07

The Log: January 2026 Update

A concise log of the major Hopfia product changes from January 2026.

DILIGENCE08

What Is AI Due Diligence?

A practical framework for separating true diligence workflows from search and summarization tools.

INVESTING09

Seeking the Irreducible Truth

Separating durable facts from uncertainty when investors face more information than ever.

DILIGENCE10

The 86% Paradox: Why M&A Is Moving Beyond Domain-Specific LLMs

Why complex M&A workflows demand more than a domain-specific language model.

TRUST11

Why Institutions Require Verifiable AI

Why evidence, sources, and analysis traceability must be product features in institutional investing.

DILIGENCE12

M&A Stages, Due Diligence, and AI

Where AI can support screening, diligence, and decision-making across the M&A lifecycle.

TRUST13

LLMs and Document Queries: Overconfidence and Incomplete Retrieval

Why confident answers can still miss relevant evidence in document-based investment research.

WORKFLOW14

How Agentic AI Rewrites the Diligence Workflow

A connected workflow from deal data ingestion to evidence-backed diligence output.