Any major lab’s models. None of their logging, none of their lock-in.
The operating system runs the model that fits each task, under your policies, with an architecture built so court data never reaches an AI provider’s logs.
Every major lab, open source included
Model choice is an agency policy control. Run the models your policies allow, from any major lab or the open-source community, and change them as the field improves. The best model for each task, never a bet on one company.
No third-party logging
Open-source models run privately, with no third-party logging at all. API models run through AWS Bedrock, which does not log prompts or outputs to the model provider and never uses court data for training. Your data works for your agency and nobody else.
No volume commitments
Your agency never commits to volume rates with any AI provider and never depends on a lab’s discounted government program staying generous. As models improve and prices fall, your agents get better without a renegotiation.
Why this matters to IT
A bundled office assistant means one lab’s models on that lab’s logging terms. The operating system means model choice with logging to no one, inside the same CJIS and AWS GovCloud boundary the rest of your justice data lives in, with per-action audit trails your auditors can actually read.
Why this matters to the budget
The subscription and credits absorb the model market on your behalf. No enterprise AI agreement to negotiate, no pilot pricing that balloons in year two, no dependence on anyone’s goodwill. One predictable line item, and the market’s falling prices work for you.
Bring your IT and security questions
CJIS, AWS GovCloud, model governance, audit trails: we answer the specifics in the first call.
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