Every meeting becomes an
investment memo.

VC Meeting OS connects to your calls, extracts what matters, and saves structured memos to your Drive—automatically.

VC Meeting OS
Acme AI - Series A PitchProcessing...
EXECUTIVE SUMMARY
DEEP DIVE - Acme AI is building...
compelling infrastructure play in...
KEY METRICS
- ARR: $2.4M (3x YoY)
- Valuation: $25M pre-money

You take 20 founder calls a week.
Your notes live in 6 different places.

When partners ask about a deal from 3 months ago, you scramble. Meeting intelligence shouldn't require a system of Post-its, Notion pages, and prayer.

📝Notion
📧Email
💬Slack
📄Google Docs
🗒️Notes app
🧠Memory
📁 VC Meeting OS
📁 Startup Pitches
📁 LP Meetings
📁 Business Meetings

Three steps. Zero manual work.

1

Connect your tools

Link Fireflies.ai and authenticate Google Drive. Takes 60 seconds.

2

Meetings are processed

AI extracts company info, team backgrounds, metrics, risks, and writes a VC-grade memo.

3

Memos land in Drive

Auto-classified into LP Meetings, Startup Pitches, or Business Meetings. Tagged. Searchable.

Fireflies
VC Meeting OS
Google Drive

Built for how investors actually work

Never lose a deal insight

Every call is captured and structured—even the ones you forgot to take notes on. Search any conversation from the last year in seconds.

Memos that look like you wrote them

Professional structure with market research, comps, and risk flags baked in. Ready for IC.

Searchable deal history

Filter by stage, sector, recommendation, or date. Find any meeting in seconds.

AI-powered research

Context on founders, market size, and comparable exits—added automatically.

Auto-organized folders

Memos are classified and routed to the right folder. No manual filing.

Analytics dashboard

Track meetings by category, see recommendation trends, monitor deal flow velocity.

A memo, not a summary

Other tools give you bullet points. We give you investment memos.

Investment Memo - Acme AIAuto-generated
EXECUTIVE SUMMARY

DEEP DIVE - Acme AI is building developer infrastructure for fine-tuning LLMs on proprietary data. The company has achieved $2.4M ARR with 40 enterprise customers, growing 3x YoY. Strong technical team from Google Brain and OpenAI. Recommend deep dive on enterprise pipeline and competitive moat.

TEAM & BACKGROUND

- Sarah Chen, CEO - Ex-Google Brain, Stanford CS PhD
- Marcus Johnson, CTO - Former OpenAI, built GPT-3 fine-tuning infra
- Early team of 12, mostly senior engineers from FAANG

KEY METRICS

- ARR: $2.4M (was $800K 12 months ago)
- Customers: 40 enterprise, 200+ startups
- Net Revenue Retention: 145%
- Burn: $180K/month, 18 months runway

AI-added context: Comparable exit - Weights & Biases raised at $1B valuation in 2023 with similar developer tooling positioning.
RECOMMENDATION

DEEP DIVE - High conviction. Schedule technical deep dive with CTO and request customer references. Key diligence: competitive positioning vs. major cloud providers.

Clear recommendation upfront
Team backgrounds researched
Metrics extracted and formatted
AI adds market context
Actionable next steps

Built for investors who run on systems

GPs

Taking 50+ meetings a quarter. Need every conversation documented without slowing down.

Associates

Drowning in deal flow documentation. Spending hours on memos that should take minutes.

Solo GPs

Running a fund without a team. Can't afford to forget anything or let deals slip through.

Fund Ops

Managing LP communications and quarterly updates. Need organized, searchable records.

Not for: Casual note-takers. This is infrastructure.

Your deal flow stays yours

No model training

We don't train on your memos. Your competitive intelligence stays competitive.

Google OAuth

No new passwords. Sign in with your existing Google account.

Encrypted

Data encrypted in transit and at rest. Enterprise-grade security.

Your Drive

Memos are saved to your Google Drive. You own and control your data.

Start in 60 seconds

Connect your Google account. Add your Fireflies key. Process your first meeting.

No credit card. No onboarding call. Just memos.