From totals to traceability
Cloud bills show totals. We show which team called which model, from which service, for what purpose, and at what cost.
Argmin
Visibility into AI usage and cost for optimized and real-time control.
Every enterprise is adopting AI faster than it can track what it is spending, who is spending it, or whether it is money well spent. The data to answer those questions exists, but it is scattered. No one inside the organization can connect a AI use to teams, and the business purpose behind it.
Value propositions
Decision-time intervention
We act at the moment of inference: routing to cheaper equivalent models, enforcing budgets, flagging waste before money is spent.
Zero operational risk
Fail-open architecture with a 50ms latency budget. Read-only connectors. Deploys inside your VPC. If we go down, your traffic does not.
Built for imperfect data
Enterprise data is fragmented, inconsistent, and incomplete. Argmin does not assume clean data. Our engine resolves attribution through heuristic entity reconciliation without requiring resource tags. It learns, improves, and grows with you.
Your AI spend is invisible. We make it attributable.
How It Works
01
Measure
Connect your existing systems—cloud billing, API gateways, identity providers, CI/CD, and HR.
02
Attribute
Every AI request is mapped end-to-end—linking the model, service, code owner, identity, team, and budget. Our engine reconstructs usage from fragmented data, with confidence scores and full auditability.
03
Intervene
Act on requests in real time. Route to lower-cost equivalent models, apply team-level budgets, and simulate cost impact pre-deploy. Advisory by default. Enforcement is opt-in.
Founders
Charlotte Wargniez
CTO
Richard McKinney
CEO
Talk to Us
We are working with a limited number of design partners. If your team is spending on AI inference and cannot track what it is spending, who is spending it, or whether it is money well spent, we should talk. You can also reach us directly at contact@argmin.co .