FAQ
Questions we get on every call.
Do you need access to our systems for the free review?
No. The free review is a conversation about your tools, rough spend and the problem you want fixed. We never ask for passwords, API keys or customer records.
Will a smaller model really be as good?
Only on the tasks where testing says so. We grade candidates against a blind holdout of your own data that's never used for training, and our design target before anything ships is 97.5% or better against your current outputs. Anything the small model isn't sure about is escalated to your frontier model automatically.
What if our workload isn't a good fit?
We tell you. Mostly open-ended creative work, or spend below a few thousand pounds a month, usually won't justify hosting a model. Caching, prompt trimming or smarter routing often will, and we'll say which.
Is the review only about cost?
No. Cost is where most teams start, but latency, data security, reliability and manual workflows all come up. Tell us what's hurting and we'll focus the call on that.
Who owns the fine-tuned model?
You do. The adapted weights, validators and deployment are handed over to you, whether the model runs in your cloud or on a managed endpoint.
Where is our data processed?
Personal data is scrubbed inside your environment before anything is shared with us. In your-cloud deployments, inference stays in your account. Managed endpoints and any third-party models we use run in US or EU regions with zero data retention.
How much does the paid audit cost?
It depends on the number of workflows and the data involved, so we quote a fixed scope after the free review. We'd rather start with a small, clearly scoped job than a large migration on day one.
Find out what your AI bill should be.
Fifteen minutes, three questions, no system access. If there's nothing worth shifting, we'll tell you that too.