Selling Check for $400M, Now Building a $1.5M ARR AI Startup - podcast episode cover

Selling Check for $400M, Now Building a $1.5M ARR AI Startup

May 06, 202624 minEp. 2955
--:--
--:--
Download Metacast podcast app
Listen to this episode in Metacast mobile app
Don't just listen to podcasts. Learn from them with transcripts, summaries, and chapters for every episode. Skim, search, and bookmark insights. Learn more

Episode description

How do you build a $1.5 million ARR enterprise AI platform after previously selling a fintech startup for nearly $400 million?

Ahikam Kaufman is the CEO of SafeBooks AI, an agentic data automation platform for the office of the CFO.

You'll learn:

- How to charge $125,000 ACVs by pricing against the cost of an accounting headcount.

- Why the company raised a $15 million seed round just to build their initial data architecture.

- How they landed a $300,000 engagement in their first year of going to market.

- The exact strategy Ahikam used to distribute $25 million in retention bonuses during a past acquisition.

- Why building a proprietary graph database is the only way to prevent AI hallucinations in finance.

- How SafeBooks scaled to 15 paying enterprise customers.

- The economics of automating the quote-to-cash process across disparate CRMs and ERPs.

- How to manage founder dilution while building a venture-backed tech company.

Ahikam is a veteran fintech executive who previously co-founded Check, which he scaled and sold to Intuit in 2014 for nearly $400 million, creating over 10 millionaires in the process.

Watch this episode on YouTube: https://youtu.be/JQA3RX9PsHw

Connect with Ahikam: https://safebooks.ai/

Connect with Nathan: https://founderpath.com/

For the best experience, listen in Metacast app for iOS or Android