AI unit economics, continuously protected

Your AI product should make money.

Finference connects model cost to customer revenue, then safely routes, meters, and bills every inference—so growth improves margin instead of quietly destroying it.

AURORA / INTERACTIVE DEMO
SEEDED DATA
Gross margin / July
61.8%+9.8 pts
Margin guard active
AI revenue
$28,500
+18.4%
Inference cost
$10,887
-20.8%
Gross profit
$17,613
+31.2%
Meter accuracy
99.98%
healthy
Revenue vs. model cost30D
Margin agent
low risk

Route 72% of low-complexity support traffic to the efficient tier. Preserve premium routing for escalations.

Projected savings
$2,864 / mo
OPENAIANTHROPICBACKBOARDGOOGLESTRIPENEON POSTGRES + AUTH
The margin problem

ARR is visible. AI COGS is not.

AI teams ship across providers, models, agents, and features. The invoice arrives later—detached from the customer and product decision that created it.

Finference closes that loop in real time. Every request becomes an economic event: cost, revenue, quality, and accountability in one ledger.

43%
margin leak exposed

Feature and customer-level unit economics, not blended cloud bills.

< 60 sec
to first event

Provider-neutral SDK and signed ingestion endpoint with idempotency.

100%
policy auditability

Simulation, quality floors, approvals, rollback, and immutable evidence.

Closed-loop AI FinOps

From raw token to protected revenue.

01

Observe every inference

One event schema normalizes tokens, latency, cost, customer, feature, and revenue across every AI provider.

02

Find the margin leak

A memory-backed FinOps agent detects unprofitable cohorts and proposes quality-bounded routing policies.

03

Approve with evidence

Simulate every policy against historical traffic. Nothing ships without a human, a quality floor, and an audit trail.

04

Meter and monetize

Convert model usage into customer-facing units and flush them to Stripe for transparent usage-based billing.

Production architecture
SIGNED SDK
EVENT BUS
COST LEDGER
MARGIN AGENT
POLICY ENGINE
STRIPE

Multi-tenant isolation, append-only economic events, HMAC signatures, idempotency keys, role-gated approvals, encrypted secrets, and provider-failure fallbacks are first-class—not launch-week cleanup.

Persistent decision memory

The included adapter activates Backboard persistent memory when credentials are configured. The public demo uses deterministic memory so judges can test it without an account.

Not a stateless API wrapper
Governance by design

Automation without the black box.

Every recommendation carries its assumptions, projected economic impact, quality evidence, risk level, approver, and rollback condition.

Human approval gates
Quality-floor enforcement
Tenant-scoped RBAC
Immutable audit trail
PII-minimized events
One-click rollback
Policy evidence
POL_MARGIN_01
Proposed byMargin Agent / Backboard thread 7b3f
Traffic scopeSupport copilot · low complexity · 72%
Quality floor94% semantic equivalence
Expected impact+9.8 margin points · $2,864 / month
Rollbackquality < 94% or p95 latency > 1.2s
Simulation passed
Approve policy

Make intelligence profitable by default.

The live demo is preloaded with production-shaped traffic. Find the leak, inspect the agent's evidence, and approve a safer margin policy.

Launch interactive demo