+microsoftBetter together. By design.
cortave governs the cost of AI inference. Microsoft Azure makes it enterprise-ready. Same intelligence. 50–60% lower token spend.
AI inference is the new cloud bill.
Enterprise AI spend runs through premium models doing low-complexity work. Nothing routes it. Nothing attributes it. Finance can't forecast it. Security can't govern it. The cloud platform can't fix it alone, and neither can a single model provider.
margin compression — unmonitored costs eat into margin
volatility — swings quarter to quarter, unforecast
redundant inference — same question, paid for twice
Fragmented spend becomes governed inference.
Cloud hit this same wall a decade ago. FinOps fixed it. AI inference is overdue for the same discipline, built on the platform enterprises already trust.
- AI as an unmanaged meter
- Premium models called by default
- Spend tracked per user, per button, if at all
- Redundant requests that slip through unnoticed
- Model choice hard-coded into the application
- Security reviews usage after it's already shipped
- AI as governed infrastructure
- Every call routed by the value of the task
- Semantic caching and deduplication at request level
- FinOps-grade infrastructure and forecasting
- Model choice separated from vendor lock-in
- Governance built in before deployment, not audited after
The outcome neither side delivers alone.
cortave solves inference efficiency. Microsoft solves enterprise trust, procurement, and scale. Together, cost governance becomes an Azure-native motion.
Model-agnostic routing, semantic caching, policy enforcement, gateway observability, token-level attribution.
Azure infrastructure, Marketplace procurement, enterprise governance, deep integration, global reach.
Governed inference that cuts spend, proves the case for enterprise AI, and ships embedded in the Microsoft ecosystem.
Why cortave, not another dashboard.
A dashboard tells you what happened after the bill lands. cortave measures, routes, and enforces policy directly in the path of inference, tied to the economics of every call.
Model-agnostic
Customers keep every major model provider on the table. No lock-in.
Drop-in layer
cortave sits inside procedures Azure customers already run. Nothing new to migrate.
Governance in-path
Routing, ownership, and guardrails act before a request goes out, not after it overshoots.
Savings-aligned
cortave gets paid when customer spend goes down. The incentive is built into the model.
Where the friction is, and who resolves it.
Runaway inference cost, harder to forecast than any other cloud line item
Lower cost, fully attributed, without slowing adoption
Model lock-in fears limiting model selection
Real choice, inside a buying process teams already trust
Procurement delay, new AI tools stall in review
Faster approval through a buying motion teams already use
Governance gaps: no policy enforcement or alerts
Governed AI growth inside the Microsoft ecosystem
| Customer friction | cortave contribution | Microsoft contribution | Value together |
|---|---|---|---|
| Runaway inference cost, harder to forecast than any other cloud line item | Routing, caching, attribution, spend governance | Azure deployment backed by Microsoft's procurement scale | Lower cost, fully attributed, without slowing adoption |
| Model lock-in fears limiting model selection | Model-agnostic architecture, model choice stays open | Azure's multi-model ecosystem approach | Real choice, inside a buying process teams already trust |
| Procurement delay, new AI tools stall in review | SOC 2 Type II, self-hosted deployment | Marketplace billing, MACC-eligible | Faster approval through a buying motion teams already use |
| Governance gaps: no policy enforcement or alerts | Policy, compliance, and audit controls on every call | Identity, compliance, and account governance | Governed AI growth inside the Microsoft ecosystem |
The market is forcing this moment.
Pilots turned into production. Agents multiply request volume. Model choice keeps expanding. The cloud bill is now an inference bill, and FinOps for tokens isn't optional anymore.
every agentic workflow adds to the bill
boards want cost per output
customers want Azure, not lock-in
Proven against live inference spend.
cortave doesn't ask customers to take efficiency on faith. It shows savings inside the first 30 days.
"We integrated cortave because the economics of AI delivery were becoming a constraint on what we could offer clients. The cost reductions are real, and the quality improvement impressed us just as much. Govern inference properly, and the AI performs better."
Efficiency, delivered as an adoption path.
cortave runs on Azure and sells through the Microsoft Marketplace. That means lower friction, faster deployment, deeper Azure commitment.
Procurement
Buy through Microsoft. Marketplace procurement skips vendor onboarding and runs through the agreement already in place.
Commitment
Deepen Azure usage. Every dollar governed through cortave counts toward Microsoft commitment and account planning.
Trust
Deploy in the perimeter. Self-hosted, SOC 2 Type II. cortave runs inside the customer's VPC and never leaves the Microsoft perimeter.
Why partner, not build.
Microsoft doesn't need to own every optimization layer. Customers win when Azure stays the trusted platform and a specialist partner handles a fast-moving, cross-model problem.
Purpose-built for inference economics
cortave focuses on one edge of the problem: routing, caching, attribution, policy. Model releases change every quarter. Tracking that is the whole job.
The platform customers already trust
Azure brings the governance infrastructure, identity, compliance, procurement reach, and account coverage customers already run on.
Deploy through trusted Azure channels. Route inference intelligently. Measure the savings. Scale AI without giving up margin or model choice.