ENTERPRISE AI CONTROL
Know what your AI is worth.
We sit between your app and your model providers. It trims what does not need to be in the request, tracks quality against your baseline, and shows you exactly which workload spent what — without touching your models or your code.
Built for coding assistants, autonomous agents, and RAG — for individuals and teams currently using LLMs, or wondering where to start.
AI has no operating discipline.
Mature organizations have FinOps for cloud infrastructure. DevOps for software delivery, and observability for production systems.
AI has none of it.
Spend arrives as an invoice with no workload attached. Quality isn't measured.
Context grows and information becomes siloed.
Nobody can see what it costs.
Where we come in.
We sit above your model providers, the way a cloud management platform sits above AWS or Azure. It watches every request that leaves your app, decides what belongs in it, and keeps a record of what it cost and whether it worked.
FOR TEAMS
Spend by workload
Verified savings
AI ROI score
FOR INDIVIDUALS
Context per request
Cost per request
Quality per request
WHAT WE DO
We distill context.
We separate durable state from your conversation history, select only what the current request needs, and compress what is left before it ever reaches the provider. Cost and quality are how you verify it worked: every request is priced, and every response is checked against a quality baseline, so a smaller bill never means a worse outcome.
THE PROOF
COST
Spend attributed to the request that created it.
QUALITY
Evidence before activation, rollback after.
What we enable.
GETTING STARTED
From integration to ROI.
Know what your AI is worth.
Useful Machine Research