Software should pay for itself — and prove it.
The fastest way to lose money with AI is to let it run unmanaged. We do the opposite: every call is routed to the cheapest model that can do the job, and every dollar is accounted for.
Model cascades
Cheap, fast models handle the bulk. We only spend on a frontier model when the work actually needs one — most messages never trigger it.
Caching & batching
Repeated context is cached, not re-billed. Non-urgent work is batched at lower rates. You stop paying for the same thinking twice.
Hard token budgets
Every workspace has a ceiling. The system refuses to overspend rather than quietly running up a bill in the background.
Outcome-based pricing
Where the result is countable — messages triaged, invoices collected, meetings booked — you pay for the outcome, not the runtime.
Compare it to the human hours it gives back.
handed back to you by automating the routine, so you spend time on what only you can do
for the tailoring that makes it fit — the work generic SaaS can't do and won't quote
of spend: model, tokens, and cost per outcome, on a dashboard you own
Pricing is scoped to your business, because the software is. Bring us the workflow that costs you the most time or money, and we'll come back with the number it saves.
Tell us where your time leaks.
We'll tailor a secure AI module to that exact problem, price it to pay for itself, and prove the return before you scale it.