We build AI agents that do real work inside accounting firms, law firms, medical practices, schools and real estate teams. Built on your data, running in the tools you already use, live in weeks.
Twice the clients per bookkeeper
- Pulls every transaction from QuickBooks or Xero
- Flags write-offs that won't hold up and missing receipts
- Checks that the P&L, balance sheet and cash flow tie out
- Hands the CPA a one-page review sheet with only what needs a look
Contracts redlined in minutes
- Reads the contract the other side sent
- Compares every clause to your approved language
- Redlines what's off and explains each change
- Sends the partner a summary with the risky clauses on top
Fewer billing mistakes, faster payment
- Reads the visit note and the codes
- Checks codes, modifiers and each payer's rules
- Fixes or flags problems before the claim is sent
- Writes the appeal letter when a claim still gets denied
Higher attendance, less paperwork
- Pulls attendance from your student system every day
- Flags students headed toward chronic absence
- Drafts the letter home in each family's language
- Builds the state report in the exact format required
No missed renewals or rent increases
- Reads every lease and pulls the key dates and terms
- Tracks renewals and scheduled rent increases
- Drafts renewal offers 90 days out
- Follows up until signed and updates your property software
CEOs are talking publicly about what their own AI can do.
How your own AI worksWe were able to fine tune an open weight model (Qwen3.5-9B) on proprietary internal data at @coinbase, and it out performed frontier models, at much lower cost and speed, for a specialized task (fraud prevention in this case).
— Brian Armstrong (@brian_armstrong) October 11, 2026
I think we'll see more of this pattern inside companies. The frontier models are amazing generalists. But increasingly you'll see specialist models out perform on more narrow tasks, either working on teams, or by themselves.
We're making it easy to fine tune models internally for our employees. We even have a skill for it in our internal harness that makes it easy to spin these up and start training them:
"/fine-tune-and-serve-llm I want to fine-tune Qwen for payments risk review. help me get started"
I imagine we'll have some backend services that could be replaced entirely by this new architecture.