New Agentic hypothesis testing platform for venture diligence
Hypogrid is a closed-loop diligence runtime for venture investors and operators. Every claim, contradiction, and decision flows back into a queryable ledger — so each deal makes the next one sharper.
Built for the diligence patterns of
Multi-agent execution, human-in-the-loop on every gate.
Built to compress the slowest parts of venture diligence: source review, thesis framing, evidence mapping, contradiction finding, and memo assembly.
Why not notes or spreadsheets?
Notes, sheets, links, and tasks are useful inputs. Hypogrid keeps the investment question at the center: hypotheses, evidence, contradictions, open issues, and IC memo language stay connected as the deal evolves.
01 — Method
Hypogrid coordinates AI-assisted work across the diligence pipeline: fact-base extraction, hypothesis generation, multi-axis validation, independent critique, and memo assembly. Every stage boundary is an explicit investment-team decision: advance, route back, defer, or stop.
Research, dataroom materials, and call notes are structured into a fact base, a sourced ledger, and an explicit gap list. You decide whether the picture is complete enough to start framing hypotheses.
Gate 1 outcomesThe workspace proposes hypotheses across seven investment axes — Market, Team, Product, GTM, Financial, Competition, Cap Table — tagged Core, Risk, or Red Flag. You confirm the question set worth validating.
Gate 2 outcomesSpecialized analysis packs validate hypotheses in parallel — market sizing, comps, cap table, GTM repeatability, defensibility. Evidence and contradictions land in the ledger as they arrive. You read the matrix and steer.
Gate 3 outcomesAn independent critique pass argues the other side. Bear case, contradiction matrix, and IC questions surface here — before they surface across the partner table. You decide if rebuttals hold.
Gate 4 outcomesMemo-grade outputs are assembled from the strongest claims, with every assertion traceable to a source. Your call — meet, track, pass, term sheet — is recorded in the decisions ledger.
Gate 5 outcomes02 — Unit of work
Investment theses spread across decks and spreadsheets blur the line between assumption, fact, and interpretation. In Hypogrid, the hypothesis ID is the unit of work — supports, contradictions, critiques, rebuttals, open issues, and decisions all hang off one identifier. Every output, from hypothesis brief to IC memo, renders downstream from a single ledger of record.
03 — Matrix
Hypotheses sort into three layers — Core Thesis (the reason to invest), Risks (what you live with), Red Flags (true means walk away). Crossed with impact, evidence strength, and status, the picture of where conviction is earned shows up in one screen.
Illustrative excerpt. The full app adds layer / axis / impact filters, a workbench heatmap, jump-to-source for every claim, and an AI side panel for hypothesis refinement.
04 — Who it's for
05 — Built-in analysis
Hypogrid is designed to start with the analyses every deal needs, then layer in deeper work when the investment question demands it. Teams can tune axes, evidence standards, and memo outputs to their own fund strategy and IC norms.
Market workflows move from sizing and landscape basics into strategy-grade structure: profit pools, share shifts, category power, and where the company can build a durable wedge.
TAM / SAM / SOM, segment analysis, competitor mapping, market share, growth drivers.
Value-chain analysis, profit-pool mapping, Porter / substitute pressure, regulation, saturation risk.
Company workflows test whether the business quality holds below the pitch: retention, GTM repeatability, product usage, unit economics, team risk, and the operating levers behind the plan.
ARR bridge, gross margin, CAC payback, churn, pipeline quality, founder-market fit.
Cohort economics, burn multiple, sales productivity, usage intensity, org dependency, roadmap risk.
Underwriting workflows convert diligence into a decision: valuation, ownership, dilution, exit paths, downside exposure, and the questions that will come up in IC.
Trading comps, transaction comps, cap table, ownership, exit scenarios, bull / base / bear cases.
MOIC / IRR sensitivity, dilution modeling, fund-return contribution, contradiction matrix, deal-killer analysis.
06 — Technology stack
A coordinator dispatches specialized workstreams in parallel, while reviewers keep control over scope, routing, and final judgment.
Hypotheses, evidence, contradictions, and decisions live in ledgers with stable IDs.
Local LLM secures dataroom files, expert-call notes, investment theses. Frontier models are opt-in per workstream with pinned model + prompt + context budget. No silent context leakage, no surprise spend, no model lock-in.
Hypogrid Harness system generates views deterministically. Diff it, grep it, version it, fork it, move it. No proprietary DB, no vendor lock-in — the workspace itself is the source of truth.
Private beta
Hypogrid is still early and onboarding is handled personally. If you are exploring hypothesis-led diligence for a fund, CVC team, or company-building workflow, send a short note on X.
Built by
Entrepreneurial investor and former founder building Hypogrid. After 10 years across startups, company building, and venture investing, I am turning the messy work of hypothesis-driven diligence into a closed-loop, auditable workflow that keeps learning and getting sharper. If your team is actively pressure-testing companies, I would love to hear where the product should go next.
Hypogrid is opening private beta access for venture teams and company builders who want a more auditable way to reach conviction.
