AI Spend Management for Production AI.

A self-enforcing runtime system for your AI traffic.Evaluate budgets, apply spending policies, and deploy cost controls in 2-10ms before requests reach the model providers.
See how it works
Synvolv runtime console

Built for production-shaped traffic.

Verified reliability for the live request path. Built to sit in your traffic, not next to it.

verified·in production
Integration

OpenAI-compatible

Drop-in replacement for any OpenAI-compatible client. Zero code changes to start enforcing policy.

Provider Mesh

Multi-provider

Native support for Anthropic, OpenAI, Gemini, Bedrock, and custom endpoints through one gateway.

p99 < 8ms

Streaming-safe

Optimized for the streaming-first nature of modern LLMs. Real-time reconcile without added latency.

Compliance

Full audit trail

Every request, decision, and policy action signed, logged, and queryable in real time.

Latency

Production overhead

Sub-1ms ingress added to your request path. Built for high-volume, variable traffic shapes.

Multi-tenant

Tenant-aware control

Per-customer budgets, routing, and attribution out of the box — designed for B2B SaaS architecture.

security · trust · complianceSee the full security posture →
Unified Control Plane

Escape the
AI Margin Trap

Fixed SaaS Revenue + Variable AI Costs = Broken Unit Economics.Synvolv protects your margins by routing all requests through a unified control plane that enforces budget policies, applies access controls, and dynamically resolves to the most cost-effective AI provider.

RUNTIME CONTROL PLANEanthropicopenaibedrockacme-corpplaygroundagent-prodAI PROVIDERSRUNTIME CONTROLTENANT SOURCESROUTING · AUTOPILOTanthropicprimaryopenaifallbackbedrockstandbyp50 412ms · 0 pausedATTRIBUTION · MTDacme-corp$847agent-prod$215playground$124DECISION · req_8f3aDOWNGRADEsonnet → haikucost −38% · margin held · 7.2msin-path · streaming-safe

What is AI Spend Management?

The infrastructural discipline of protecting AI unit economics before the request executes.

Traditional SaaSFixed Cost
AI EraVariable, Uncapped

Predictability is dead.

For twenty years, SaaS meant fixed infrastructure. AI broke this equation. Every "Generate" click is an uncapped, variable micro-transaction that can obliterate unit economics in minutes.

FinOps Dashboard
30 days late
Observability Logs
24 hours late
AI Gateways
Blind to cost

Post-execution tools are too late.

Traditional FinOps tells you what you spent last month. Observability tells you why you lost money yesterday. Gateways blindly route traffic today. They all fail to prevent the loss.

Synvolv Runtime Engine2-10ms
>> Intercepting POST /v1/chat/completions
Tenant: acme-corp
Cost Est: $0.04 (GPT-4)
>> Eval: Budget Exceeded.
>> Action: Downgraded to GPT-3.5.

The Required Control Plane

In 2-10ms, Synvolv evaluates the tenant's identity, budget, and prompt cost. If it violates margin policies, it is instantly blocked or downgraded.

The 3 Pillars of AI Spend Management

If Enforcement is missing, you do not have AI Spend Management.
You have a dashboard.

Identity

Who is spending?

Map every raw API request to a specific Tenant, Workspace, or Agent to attribute cost accurately.

Economics

Should they spend?

Evaluate the real-time cost of the prompt against that identity's budget and margin thresholds in 2-10ms.

Enforcement

What action happens?

The physical act of blocking, downgrading to a cheaper model, or passing the request before it hits OpenAI.

The whole control surface, in six chapters.

Six surfaces. One in-path pass, evaluated in under eight milliseconds — for every request, every tenant.

one pass·six controls
01

Budget.

Spend caps that fail closed.

02

Attribution.

Per-token cost, tied to a payer.

03

Routing.

The provider, decided in advance.

04

Triggers.

React before the threshold breaks.

05

Enforce.

Every check, in-path, on the wire.

06

Audit.

One number everyone can cite.

I01

Budget.

Spend caps that fail closed.

Hard ceilings, enforced before the spend commits — scoped to tenant, feature, and route. The first gate any request meets, and the most opinionated. Nothing reaches a model unless the budget says yes.

12,400calls blocked / month

Synvolv sits in the live request path.

Proactive unit economics that trigger before the spend is committed. Not after reconciliation. Not in a dashboard.

live·sample feed
live·preview from the synvolv console
request flow · decide(ctx)
acme-corpplaygroundinternal-qaanthropicopenaibedrockDECIDE(CTX)
insights · 3 actionable
$2,130 / mo
highcost
Switch batch ops from sonnet → haiku
$1,240/ mo saved3 routes · 42% of spend
criticalperformance
Enable semantic cache · 38% query overlap
−60%p50 latency2 routes · support-bot · faq
highreliability
Add anthropic fallback for openai outages
99.91 → 99.99%uptime1 route · production-gateway
decisions · live tail
streaming
09:17:51.885agent-prodALLOWclaude-sonnet-4-68.8ms
09:17:50.881support-botALLOWgemini-2.5-pro8.7ms
09:17:50.019acme-corpALLOWgemini-2.5-pro7.1ms
09:17:52.968support-botALLOWclaude-haiku-4-53.5ms
09:17:53.300internal-qaALLOWclaude-sonnet-4-63ms
09:17:52.878acme-corpDOWNGRADEclaude-haiku-4-53.4ms−$0.0035

Why in-path

Controls execute while the request is still live. Anything else is observability.

What changes

Teams act before overspend becomes a rollback or a finance escalation.

Integration

OpenAI-compatible endpoint. Standard headers. No SDK lock-in.

Built for the entire AI organization.

For EngineeringRouting & Speed
CostSpeedContextLimitsReasonUptime

Sub-10ms Overhead

Zero friction in the critical path. Drop-in SDK automatically evaluates rules, caches responses, and dynamically routes to fallbacks without blocking the UI thread.

For InfoSecCompliance

Zero-Retention Gateway

Prompts are never
stored or logged

Immutable Audit Trail

Cryptographically signed
decision logs

Data Sovereignty

Never trained on.
Opt-out by default

Enterprise SSO

SAML / OIDC
integration ready

Zero-Trust Architecture

Your customer's PII is never exposed to the control plane. We parse metadata, enforce policies, and blindly pipe the sensitive payload.

For FinanceEnforcement
Pre-FlightEvaluation
INTERCEPT
EVALUATE
BUDGET
ENFORCE
PROVIDER
AUDIT

Guaranteed Margin Protection

By intercepting the request lifecycle before it executes, FinOps teams guarantee that hard-coded budgets are physically impossible to exceed.

Everything in-path

AcompleteplatformforAIuniteconomics.

We've built all the primitives required to run production AI workloads with predictable margins, so you don't have to build them yourself.

Autopilot

Margin protection that runs itself.

Set intelligent rules that dynamically downgrade models or cap requests the moment a tenant approaches their limit — saving thousands automatically.

Learn more
Autopilot Rules dashboard
Tenant Spend Caps
Spend Caps

Per-tenant limits that fail closed.

Enforce strict dollar ceilings per customer workspace. Enforced in-path, before the spend commits — no chargeback, no overage.

Learn more
Deterministic Fallbacks
Routing

Provider mesh decided in advance.

Anthropic → OpenAI → Bedrock fallback in milliseconds. Deterministic, logged, and never touches your client code.

Learn more
Live Webhooks
Webhooks

Instant alerts at every threshold.

Notify Slack or trigger internal billing the millisecond a tenant reaches 80% of their allocated AI budget.

Learn more
Sub-10ms Overhead
Performance

Six checks. Sub-10ms total.

Built in Rust, deployed to the edge. Auth, budget, autopilot — all evaluated in-path without slowing your users.

Learn more
production-shaped

Built for teams shipping AI to external users.

Synvolv fits best when AI usage is live, variable, and tied to customer behavior — production traffic where one request can change the margin.

Tenant Spend

Acme Corp • ac_8f92x

Last 7 Days
$96
$60
$144
$72
$192
$108
$228

Enforce Hard Limit

Block requests if budget exceeded

01

Multi-tenant SaaS

Attribute and enforce AI spend per customer. Margins stay predictable when one tenant spikes.

02

Customer-facing copilots

Stop runaway chat costs with real-time budget enforcement and automatic model downgrades.

03

Agent workflows

Cap agent loop costs automatically. Halt expensive runaway processes before they consume the budget.

04

Platform / shared traffic

Route across providers, enforce policies, and manage usage across workspaces from one in-path hub.

05

Finance & FinOps

Turn vague provider bills into precise, auditable unit economics finance and product can defend.

06

Model-driven cost structures

When the gap between sonnet and haiku is the gap between profit and loss on every request.

not the fitLow-volume prototypes, internal experiments, or teams whose only problem is model abstraction.

See every use case
FAQ

Frequently Asked Questions

Control
before the bill.

We'll map your request flow and show where Synvolv triggers outcome changes before unit economics break.

Explore use cases
time to first decision
< 1 day
code changes
zero
risk window
reversible in < 60s