Summarize
Summaries written the way your team writes them.
Turn calls, threads, case files and reports into summaries in your house format: the sections you use, the length you want, the details your team actually needs and nothing else.
call_0428.txt · 87 words
Agent Thanks for calling, how can I help today?
Customer My refund still hasn't shown up. It's been almost three weeks.
Agent Let me pull that up. Is this refund 8812?
Customer Yes, that one. I was told five to seven days.
Agent I see it was sent by ACH on the 3rd and came back.
Agent Your bank rejected the deposit, it looks like a closed account.
Customer Oh, I switched banks in the spring. Can you just mail it?
Agent Yes, I'll have billing re-issue it as a paper check.
Customer Great, thank you.
Case note · your format · 17 words
What it does
Built for tasks like these.
- Turn call transcripts into case notes
- Condense a ticket thread for handoff
- Write the daily digest of a channel
- Brief a reviewer on a long file
How it works
From your examples to a model you own.
- 01
Collect past summaries
Pair long inputs with the summaries your team actually wrote. That is the format the model will learn.
- 02
Train on your format
The model learns your sections, your length and which details your reviewers care about.
- 03
Summarize on arrival
Every call, thread or file gets its summary the moment it lands, on your machine.
Private by default
Your transcripts never leave the building.
Summarization means handing over the whole document. With a micromodel the whole document stays on your machine.
- Your customers' data leaves the building on every call
- The model changes whenever they ship
- You pay for a huge general model to do one narrow task
- The request never leaves the device
- The model is a file you own; it changes when you retrain it
- Small enough to run on hardware you already have
Trained, not prompted
Accurate on your task.
General models summarize generically. Trained on your past summaries, the model learns which details matter to you and the format your people expect to read.
Input42-minute support call about a delayed refund
General model, prompted
The customer called regarding a refund. The agent discussed several options and the customer expressed frustration…
Micromodel, trained on your examples
Issue: refund #8812 stuck 19 days Cause: bank rejected ACH Next: re-issue by check · owner: billing
Illustrative example.
And it costs less
No per-call bill.
Long inputs are the most expensive calls an API bills for. Locally, a long document costs the same as a short one: nothing per call.
$120,000 annual savings
See it for yourself
Watch a micromodel run on your own GPU.
A guided demo, about a minute. It downloads once and runs entirely in your browser; nothing you type is sent anywhere.Open the demoRead and write
Related solutions.
Have a task like this?
We'll tell you if a micromodel can do it. Or book a demo, or email hello@micromodel.company.