Entendre

Today we're sharing that Entendre has been acquired by @MoonPay.

Three years ago we started with a simple conviction: the way money moves was changing fast, but the way it was tracked wasn't keeping up. Stablecoins were rewriting how businesses spend, earn, and transfer value, and accounting needed to move just as fast.

AI was the unlock. We built for the finance teams already operating at 9 to 10 figure volumes across multi-entity structures, wallets, exchanges, cards, subledgers, and bank accounts, fixing the actual work instead of forcing a rip-and-replace.

MoonPay is building the financial operating system for value: stablecoin-first, headless, agent-ready, institution-focused. It's the direction we were always headed.

For our customers: Entendre continues, now with more resources, faster deployments, and deeper integrations.

More to come. 🌑

We built Overlook, Entendre’s internal agent harness, around the way our team works.

Here are four capabilities you can bring to your own harness: code channels, dynamic schedules, self-modification, and decision models. x.com/i/article/2118…

We’re excited to introduce a new standard for enterprise and mid-market back-office software: self-serve, agent-guided onboarding.

Manage your books directly in iMessage  🤳

How well can Jev (by @typesafeai) choose the right category for transactions that need accounting?

We tested it on our previous Crypto Accounting Benchmark (CAB), choosing from 2, 3, or 5 real accounts. Jev averaged 635 ms per successful call, with overall accuracy of 51.7%, 47.5%, and 48.3%, respectively.

With five candidates, keeping only cases with confidence ≥0.75 raised accuracy to 61.5%, covering 39 of 118 tasks.

The charts show both accuracy and how many cases remain at each confidence cutoff. The highest percentages come from the smallest samples.