Pre-Seed

US

AI / ML, SaaS, B2B

How in2ition.ai Raised a $1M Pre-Seed in 3 Months From 4 Investors

A conversational AI platform for frontline teams. Two co-founders raised $1M from three angels and one VC fund in three months, approaching only eight investors.

Raise snapshot

Raised

$1M

Duration

3 months

Investors

4

Check size

$125k–500k

Valuation

$5M post SAFE

Revenue at close

$32k MRR

The investor funnel

Investors reached8
First meetings
Second+ meetings
Term sheets450%
Investors reached8
First meetings
Second+ meetings
Term sheets450%

Raise materials

Pitch deck (PDF)

The company

  • in2ition.ai — a conversational AI platform for frontline teams

  • US-incorporated, a Delaware C-corp, with US-based clients

  • Bootstrapped and out of stealth with paying customers before the raise

  • Raised — $1M from one VC fund and three angel investors

  • Timeline — 3 months, roughly 2.5 of them active fundraising

Founders

  • Team of two co-founders, Joseph and Chris

  • Both held director and C-level positions at several AT&T retailers

  • Previously founded a boutique consultancy together

  • Joseph published “People. Culture. Structure.: The Architecture of Execution”

  • The book became a #1 Hot New Release on Amazon

Pipeline and channel

Only eight investors were ever approached — the pipeline was researched like an ICP list, not sprayed.

  • Investors reached — five VC funds and three angel investors

  • Term sheets — one VC fund (20%) and all three angels (100%)

  • Angels first — close friends, mentors and industry peers; two calls and one referral

  • VC side — five funds picked for mutual thesis fit, then targeted outreach

  • LinkedIn played slowly — follow, read what they post, engage, then send unsolicited updates

  • One cold inbound fund was turned down over terms

Timeline and runway

  • Active fundraising — about 2.5 months inside a 3-month window

  • Feb 2026 — the angel checks closed

  • Paused from March to mid-April, deliberately, to test whether the money was needed

  • May 2026 — the VC check closed and the round was done

  • Runway at start — two years, default alive and bootstrapped

  • Capital was for acceleration — hiring, controls, capturing bigger accounts

Pitch deck and data room

  • 16 to 20 documents in the data room

  • Existing contracts, security posture and controls, IP

  • System architecture, marketing system, roadmap, pitch deck

  • Deck modelled on decks that won — less is more, not flashy

  • Everything was ready from launch day, so assembling it was quick

  • Metrics kept defensible and easy to reach, which builds trust fast

Metrics at close

  • MRR at the start of the raise — $32K, fully bootstrapped

  • Valuation — $5M post-money on a SAFE

  • Round planned as four checks of $250K each

  • Angels — two checks averaging $250K, one split between a family office and the angel’s company

  • VC check — $500K, which took the last two spots

  • Check size range — $125K to $500K

Lessons learned

  • There is good money and bad money — know what strings come with the check

  • Do not raise to raise; raise when you see an opportunity to accelerate

  • Bad money builds a prison — someone else starts dictating your roadmap

  • Alignment first — a fund that helps rather than sits passive, angels who fill knowledge gaps

  • Priced the round low on purpose to close fast, and would be more cautious next time

  • Do not celebrate the raise — closing it is the start, not the win

“There’s good money and there’s bad money. Don’t just raise to raise.”

— Joseph Lepordo, co-founder of in2ition.ai

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