Predictable AI economics.
A cost model the CFO can defend.
AI Control Plane · Enterprise
Monitor. Control. Optimize.Enterprise AI, under operating discipline.
The control plane for enterprise AI.
Unified AI control planeCentralized governancePolicy-driven cost disciplineMulti-model, multi-provider
Built on enterprise AI delivery across
RetailHealthcareFinancial servicesTechnologyMedia
Why now
AI is becoming a production cost. Few enterprises operate it like one.
AI cost spirals at production scale.
Inference becomes the dominant cost layer the moment AI moves from pilot to production.
Agentic workflows compound spend.
Token consumption expands in ways no per-tool dashboard can predict or contain.
Cost sprawl breaks operating discipline.
Scattered keys and disconnected provider bills leave the enterprise without one view.
Industry forecast
“Through 2028, at least 50% of generative AI projects will overrun budgeted costs.”
Gartner research, cited via industry analysis
The platform
One operating model. Three pillars.
Monitor
One source of truth for AI consumption.
- ✓Attribution
- ✓Anomaly detection
- ✓Audit-ready
Control
Governance, enforced as policy.
- ✓Budgets
- ✓Policy guardrails
- ✓RBAC
Optimize
Economic discipline at production scale.
- ✓Model right-sizing
- ✓Flat-rate capacity
- ✓Open-weight models
How it works
Connect. Govern. Optimize.
01
Connect
Route approved AI surfaces through the access layer.
02
Govern
Apply enterprise policy across teams, models, and providers.
03
Optimize
Right-size, route, and review — continuously.
Outcomes
Defensible by finance, security, and the board.
Three outcomes the enterprise can defend.
Risk reduced by policy.
Centralized access, enforced policy, audit-ready.
Adoption without chaos.
Every team enabled. One line of sight, one set of rules.