Inbound Deal Flow Triage
Your agent reads every inbound pitch deck email, extracts key data — ARR, team size, market, ask amount — and scores each deal against your thesis criteria. It routes scored deals to Notion with a priority tier. Your team only reviews the top 15%.
200-500 inbound decks per month. Partners manually skim 80% of them.
Most VC firms treat inbound deal flow like email triage — partners and associates skim subject lines and attachments, spending an average of 3 minutes per deck. According to PitchBook's 2024 deal flow report, 65% of inbound pitches get no response at all. That includes deals that matched the fund's thesis perfectly.
The math doesn't work. A mid-size fund receiving 300 decks per month would need a full-time associate spending 15 hours per week just opening and categorizing pitches — before any real evaluation happens. Good deals get buried under volume, and response times stretch past the window where founders are still interested.
Reads the PDF. Extracts the data. Scores it against your thesis.
When a pitch deck hits your inbox — whether it's a PDF attachment, a DocSend link, or pasted into the email body — the agent reads the full document and pulls structured data: company name, founding team size, current ARR, target market, funding stage, and ask amount. No manual entry, no forwarding to an associate.
Then it scores each deal across 3 thesis criteria you define once: market fit, stage fit, and check size fit. A fintech-focused Series A fund won't waste time on a pre-seed biotech pitch. The scoring runs in under 2 minutes per deck — compared to the 3-minute manual skim that catches half the relevant data.
Tier 1 gets reviewed today. Tier 3 gets archived with data intact.
Tier 1 deals — the top 15% that match your thesis on all 3 criteria — land in your immediate review queue. Each entry includes a 1-paragraph summary and a fit rationale explaining why it scored high. Partners open Notion and see only the deals worth their time.
Tier 2 deals (roughly 25%) go into a weekly batch review column. These are partial matches — right sector but wrong stage, or right stage but borderline check size. Your team scans these once a week in 20 minutes instead of triaging them daily.
Tier 3 and Pass deals (the remaining 60%) get auto-archived. But every data point is still extracted and stored — sector, ARR, ask size, geography. That archived data feeds quarterly pattern analysis: which sectors are heating up, what ask sizes are trending, and where your inbound volume is shifting.
Tier 1 hits Slack within 30 minutes. Everything else runs on a cadence.
When a Tier 1 deal comes in, you don't wait for Monday's pipeline review. The agent sends a Slack notification within 30 minutes of receipt — including the company name, ARR, thesis fit score, and a link to the full Notion entry. Partners can respond to high-priority founders the same day they reach out.
Every Friday, a Tier 2 digest lands in your channel with 8-12 partial matches worth a quick scan. At month-end, the agent compiles analytics: total inbound volume, sector breakdown by percentage, average thesis fit scores, and quarter-over-quarter trend lines. One managing partner told us the monthly report alone changed how they allocated sourcing resources across sectors.