Industry Guide: Venture Capital
How to Use Claude in Venture Capital: A Working Guide for Investment Teams
More conviction per hour, from first pitch to board seat.
This guide shows how venture investors can put Anthropic's Claude to work on the tasks that fill their week: screening inbound decks, market mapping, founder and startup due diligence, investment memos, and portfolio support. It sticks to what Anthropic has published, cites one named venture firm's experience as Anthropic reported it, and gives you prompts you can run today.
Learning how to use Claude in venture capital starts with the reading and writing that crowd out thinking time: summarizing pitch decks against your fund thesis, mapping a market and its competitors, building a diligence question list for founders, checking cap table and term sheet math, and drafting investment memos from your own call notes. Claude produces fast, structured first drafts. The partner still owns the conviction, the founder relationship, and the decision to write the check.
Published
Key Takeaways
- Claude is most useful to investors for deck screening, market maps, diligence question lists, investment memo drafts, and board meeting prep.
- Anthropic reports that venture firm Airtree uses Claude Cowork to cut market and competitor research from days to minutes.
- Anthropic has no venture-specific product, but its financial services connectors and agent templates apply to VC research work.
- Claude cannot tell you which founder will win. It can make sure you asked every question before deciding.
- Specific prompts that include your stage, check size logic, and thesis produce memo drafts worth editing.
Copy and Paste
Prompts You Can Use Today
Screen a pitch deck against your thesis
You are an associate at a seed-stage venture fund. Our thesis: vertical software for regulated industries, technical founding teams, and a credible path to a Series A within eighteen months. Read the attached pitch deck and return: a three-sentence summary, how the company fits or misses each part of our thesis, the three strongest claims in the deck, the three claims we would need to verify first, and the questions I should ask on a first call.
Replace the thesis with your fund's. The fit-or-miss breakdown makes it easy to disagree with the summary.
Market map and competitor scan
Build a market map for the category described below. Group the known companies into segments, describe what each segment sells and to whom, and note how the startup we are evaluating positions itself against each segment. Then list the assumptions in a bottom-up TAM, SAM, and SOM estimate that we should test with customers. Mark anything you are unsure of as unverified. Category and startup description: [paste].
Claude's knowledge has a cutoff, so treat the competitor list as a starting point and check it against a current database.
Founder and startup due diligence plan
Draft a startup due diligence plan for a Series A investment in the company described below. Organize it by area: team and references, product and technology, customers and retention, go-to-market, financials and burn, legal and cap table. For each area give the specific questions, the documents to request, and what a red flag would look like. Keep the plan proportionate to a Series A, not a buyout. Company description: [paste].
Stating the stage keeps the plan from turning into a private equity style checklist.
Investment memo from call notes
Using only my call notes, data room summary, and the metrics pasted below, draft an investment memo with these sections: summary and recommendation, team, problem and product, market, traction, competition, deal terms, key risks, and why now. Write for partners who have not met the founders. Do not add any fact or number that is not in my material. Where evidence is thin, write [NEEDS EVIDENCE]. Material: [paste].
The [NEEDS EVIDENCE] marker shows the partnership exactly where the case is still an opinion.
Cap table and term sheet check
Here is a simplified pre-money cap table and the key terms of a proposed round: pre-money valuation, round size, option pool increase, and liquidation preference. Walk through the post-money ownership for each holder step by step, show where the option pool increase comes from, and explain in plain language how the liquidation preference affects each holder at three exit values that I will provide. Show every calculation so I can check it. Data: [paste].
Asking Claude to show every step turns it into a checkable worksheet rather than a black box answer.
From Anthropic
What Anthropic offers for Venture Capital
Claude for Financial Services
Anthropic's financial services offering, announced in July 2025, combines Claude models with enterprise access and pre-built connectors to data providers including PitchBook, FactSet, and S&P Global. Anthropic says customer data is not used for training by default.
· Source
Agents for financial services
Ten agent templates released in May 2026, including a market researcher and a meeting preparer, each available as a plugin in Claude Cowork and Claude Code, alongside new connectors such as Dun & Bradstreet, Guidepoint, IBISWorld, and Third Bridge.
· Source
In Practice
How Venture Capital Teams Use Claude
According to Anthropic's published customer story
Airtree
According to Anthropic's customer story, Airtree, a venture capital firm, uses Claude Cowork for market and competitor research and for board summaries, with research that used to take days now done in minutes.
Illustrative walkthrough
Triage of a week's inbound decks
- An associate collects the week's inbound decks in one project with the fund thesis saved as instructions.
- Claude returns a fit-or-miss summary for each deck and a short list of companies worth a first call.
- The associate reads the full deck for every shortlisted company and for any rejected company from a warm introduction.
- Claude drafts first-call questions for the shortlist based on the gaps in each deck.
- The partner reviews the shortlist in the Monday meeting and decides which founders get a call.
Illustrative walkthrough
Turning diligence calls into a memo
- After reference and customer calls, the associate pastes the notes into the deal project.
- Claude summarizes each call and updates a table of claims confirmed, contradicted, or still open.
- Claude drafts the investment memo in the partnership's sections and marks every weak point for more evidence.
- The associate rewrites the thesis and risks sections in their own voice and checks every metric against the data room.
- The partnership debates the memo and records the decision and its reasons.
Venture Capital and Claude: the Published Numbers
| Figure | Context | Source |
|---|---|---|
| two days to minutes | Market and competitor research time at Airtree, per Anthropic's customer story | Source |
| 30 minutes to two minutes | Board summary time at Airtree, per Anthropic's customer story | Source |
| 130+ portfolio companies | Size of Airtree's portfolio, per Anthropic's customer story | Source |
Core Workflows
Claude Venture Capital Use Cases That Save Real Time
The jobs below are where investment teams report the clearest gains, from inbound pitch to portfolio support.
Deal flow triage
AI for startup screening means reading every inbound deck against your thesis, so the team spends first-call time on the companies that fit rather than on the loudest pitch.
Market and competitor research
Claude drafts market maps, segments competitors, and lays out the assumptions behind a TAM, SAM, and SOM estimate so you can test them with customers.
Founder and product diligence
AI for startup due diligence covers question lists, reference call guides, customer interview scripts, and summaries of what each conversation confirmed or contradicted.
Investment memos
An AI investment memo draft built from your own notes gives the partnership a consistent structure, with gaps marked instead of filled with guesses.
Cap table and term math
Cap table analysis, pro-rata rights, option pool effects, and liquidation preference scenarios are easier to check when Claude shows every step.
Portfolio support
Board meeting prep, founder update summaries, follow-on investment memos, and LP letter drafts all start faster from a structured first pass.
Deal Flow
Venture Capital Deal Sourcing With AI: What Works
Venture capital deal sourcing with AI is less about finding secret companies and more about handling volume without dropping good ones. A fund that receives far more decks than it can read ends up screening on warm introductions and brand names. Asking Claude to summarize every inbound deck against the same thesis gives each company the same first read, which makes the triage more consistent and easier to audit later.
The screen is only as good as the thesis you give it. Write your fund thesis in plain sentences: stage, sectors, geography, team profile, and what would make you pass. Then ask for a fit-or-miss breakdown against each part. When the output disagrees with your instinct, look at which criterion caused it. Sometimes the thesis needs rewording, and sometimes your instinct was pattern matching on something irrelevant.
Anthropic has published connectors to data providers such as PitchBook as part of its financial services offering, and a market researcher agent template among its May 2026 agents for financial services. If your firm has these enabled, Claude can combine your deal notes with market data in one workspace. If not, the same prompts work on the decks and notes you already have.
From Diligence to Decision
Using AI for the Investment Memo Without Losing Your Judgment
The investment memo is where conviction gets written down, and it is also where AI can do the most damage if used carelessly. A fluent memo can hide the fact that the traction section rests on one customer call. The fix is to give Claude only your material, tell it not to add facts, and ask it to mark every thin spot. The draft then shows the partnership exactly where the case is evidence and where it is opinion.
Structure your memo prompt around the sections your partnership already uses. Consistency matters more than style: partners compare memos across deals, and a stable structure makes that comparison fair. Ask Claude to write the key risks section as if arguing against the deal. A good memo survives its own strongest objection.
After the partner meeting, use Claude to turn the discussion into a decision record: what was decided, the reasons, the open questions, and what would change the view. Months later, when a follow-on investment comes up, that record is worth more than the memo itself.
Choosing Tools
Claude vs ChatGPT for Venture Capital, and Other AI Tools for VC
The Claude vs ChatGPT for venture capital debate is best settled on your own material. Take a deck you already passed on and a memo you already wrote. Run the same screen and the same memo prompt in each tool, then compare accuracy, how each handles missing information, and how much editing the output needs. Tools update often, so repeat the test when your workflow changes.
Other AI tools for VC fall into three groups: general assistants like Claude, venture-specific platforms for CRM and deal flow, and data providers. Most firms end up with some of each. The general assistant handles reading and writing. The CRM holds relationships and pipeline history. Data providers supply funding rounds and company data. Connecting them beats replacing any one of them.
AI agents for venture capital are the next step: multi-step workflows that screen a batch of decks, check a database, and draft first-call questions without a person prompting each step. They are useful for repeatable work with a clear output, and they still need a partner reviewing what they produce before anything reaches a founder.
Getting Started
A First Month of AI for Venture Capital Teams
Write the thesis down
Put your fund thesis in plain sentences the way you would explain it to a new associate. Every screening prompt reuses it.
Screen last month's decks
Run the screening prompt on decks you already decided on. Compare the output with your decisions and adjust the thesis wording.
Draft one memo
On your next live deal, draft the memo from your notes with the evidence markers turned on. Note how much editing it took.
Build a shared library
Save the prompts that worked in a shared project so the whole team screens and writes to the same standard.
Limits
What AI Cannot Do in Venture Capital
Claude cannot tell you which founder will outwork the market. Early-stage investing rests on judgment about people, timing, and markets that do not exist yet, and there is no document that contains the answer. Use Claude to make sure you asked every question and considered every risk, then make the call yourself.
Claude's knowledge of companies and funding rounds has a cutoff and can be wrong about recent events. Any competitor list, round size, or valuation it mentions should be checked against a current source before it goes into a memo. Asking it to mark uncertain facts as unverified makes this easier.
Founder material is confidential. Decks, data rooms, and cap tables are shared in trust, often under NDA. Use only the workspace your firm has approved, and anonymize details when you are testing prompts outside it.
Practice on Real Decks, Not Toy Examples
Knowing the prompts and running them well under deal pressure are different skills. The free Nightschool AI curriculum is hands-on from the first lesson, so the habits are in place before the next hot round.
Frequently Asked Questions
How do VCs use AI for deal sourcing?
VCs use AI to read and triage inbound decks against a written thesis, summarize companies from databases they already use, and draft outreach and first-call questions. The value is consistency: every company gets the same first read. Anthropic lists connectors such as PitchBook and a market researcher agent template that can support this work where a firm has them enabled.
Will AI replace venture capitalists?
Not the core of the job. Venture investing depends on judging founders, winning competitive deals, and supporting companies over years, which rests on relationships and judgment. AI takes over much of the reading, summarizing, and first-draft writing, which frees investors to spend more time with founders and on the decisions only they can make.
What AI tools do VCs use?
Most firms combine a general assistant such as Claude with a venture CRM and data providers. Anthropic reports that venture firm Airtree uses Claude Cowork for market and competitor research and board summaries. The right mix depends on your firm's approved tools and where your deal data already lives.
Can AI pick good startups to invest in?
No tool can reliably pick winners, and you should be skeptical of any that claims to. AI can apply your criteria consistently, surface risks you missed, and organize evidence. The judgment about whether a team and market are worth backing stays with the investors.
How to use AI for startup due diligence?
Start with a stage-appropriate plan: ask Claude for questions, documents to request, and red flags by area, from team and customers to cap table. Then use it to summarize each reference call and data room document, and to keep a running list of what was confirmed, contradicted, or still open. Check every figure against the source.
Is Claude or ChatGPT better for investment research?
It depends on your material and your firm's approved tools. Run the same research prompt on the same documents in each, then compare accuracy, handling of uncertainty, and editing time. Also compare data terms and which data providers each connects to, because that often decides the choice in practice.
How do VCs use AI to write investment memos?
They give the assistant their own call notes, data room summaries, and metrics, and ask for a draft in the partnership's standard sections, with an instruction not to add facts and to mark weak evidence. The associate then edits for argument and voice. The draft is a structure to react to, not a finished recommendation.
Is it safe to put founder data into an AI tool?
Only inside a workspace your firm has approved for confidential material, with retention and training terms your firm has reviewed. Founders share decks and cap tables in trust, often under NDA. When testing prompts elsewhere, remove company names and figures first.
Keep going
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