From Data Room to Fast Decision Support

Knoh.AI is the trusted VC due diligence assistant that unifies deal data and applies expert prompts to surface KPIs, risks, comps, and insights—making investors 10x more productive

Who It’s For

Managing Partners & Partners

Faster signal and clearer flags for higher-conviction decisions

Analysts & Associates

Accelerate screening, structure deep dives, and draft IC-ready outputs

Operating Partners

Post-close value creation and portfolio monitoring from day one

Outcomes

Why Knoh.AI Agent?

Diligence Workflows by Stage

Thesis Fit and Scoring

Quickly identify which deals deserve your attention

Early Diligence

Get smart before the first IC call

Term Sheet Execution

Negotiate confidently with clarity

Advanced Diligence

Build conviction with in-depth analysis

IC Memo and Decision

Turn your data into decision-ready materials

Portfolio Monitoring

Turn the diligence lens into an always-on assistant for existing investments.

Monitoring use cases

Security & Governance

Enterprise-grade

Works with your stack

Data rooms & shared drives (e.g., Drive, SharePoint, Box), CRM exports, call transcripts, research links—ingest once, reuse everywhere.

Request a Demo for a deeper walkthrough with your materials.

Venture Capital Due Diligence Automation with Knoh.AI

What is Knoh.AI, and how does it help venture capital teams with due diligence?
Knoh.AI, an AI agent, is meticulously designed to expedite the venture capital due diligence process. By automating document parsing, market research, and competitive analysis across decks, data rooms, call notes, and reports for deal companies, it empowers investors to transition from initial review to investment decision with remarkable speed and confidence.
Knoh.AI automatically parses pitch decks and teasers, extracts key KPIs such as ARR, growth, margins, and runway, and generates quick market and competitor snapshots. This enables VCs to make faster Go/No-Go decisions and prioritize deals that truly fit their investment thesis.
Yes, during Term Sheet execution, Knoh.AI constructs scenario models for ownership and return outcomes. It also scrutinizes proposed terms, flags unusual clauses, and summarizes negotiation trade-offs—providing partners with the assurance of making data-backed decisions before signing.
Knoh.AI supports diligence across product, market, GTM, team, financials, and legal/compliance dimensions. Based on available data, it analyzes and generates reports on product maturity, GTM readiness, unit economics, customer signals, and even revenue quality to help investors validate company claims quickly.
Security is core to Knoh.AI. Each deal company and portfolio company has a dedicated context library, ensuring data isolation and accuracy. All documents are processed in secure environments with access control. Data is not used to train AI models.
Based on your diligence findings, Knoh.AI can auto-generate IC memos, risk registers, and valuation snapshots. Teams can edit, finalize, and export these documents for IC reviews.
Each deal is analyzed with the data within its own context library—tailored to that company’s sector, market, and competitor set. This ensures that insights, benchmarks, and comparisons are precise for that specific deal, not generic.
Knoh.AI is a versatile tool that adapts to all funding stages. Whether it’s early-stage investments focusing on validating product-market fit and team signals, or growth or late-stage investments requiring in-depth financial and operational diligence at scale, Knoh.AI is there to support.
You can start by creating company profiles for deals and uploading files from your data room. Users can leverage the built-in use cases for all stages of the diligence process, which will parse, summarize, and generate a structured diligence view within minutes.
Yes, the agent can also support monitoring existing investments. Among other things, the assistant helps partners create monthly KPI rollups by ingesting provided files, highlighting deltas & anomalies, accessing earnings & announcements data to summarize impacts, creating reports on competitive & market shifts, and generating board pack drafts.

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