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.

Verified reliability for the live request path. Built to sit in your traffic, not next to it.
Drop-in replacement for any OpenAI-compatible client. Zero code changes to start enforcing policy.
Native support for Anthropic, OpenAI, Gemini, Bedrock, and custom endpoints through one gateway.
Optimized for the streaming-first nature of modern LLMs. Real-time reconcile without added latency.
Every request, decision, and policy action signed, logged, and queryable in real time.
Sub-1ms ingress added to your request path. Built for high-volume, variable traffic shapes.
Per-customer budgets, routing, and attribution out of the box — designed for B2B SaaS architecture.
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.
The infrastructural discipline of protecting AI unit economics before the request executes.
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.
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.
In 2-10ms, Synvolv evaluates the tenant's identity, budget, and prompt cost. If it violates margin policies, it is instantly blocked or downgraded.
If Enforcement is missing, you do not have AI Spend Management.
You have a dashboard.
Map every raw API request to a specific Tenant, Workspace, or Agent to attribute cost accurately.
Evaluate the real-time cost of the prompt against that identity's budget and margin thresholds in 2-10ms.
The physical act of blocking, downgrading to a cheaper model, or passing the request before it hits OpenAI.
Six surfaces. One in-path pass, evaluated in under eight milliseconds — for every request, every tenant.
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.
Proactive unit economics that trigger before the spend is committed. Not after reconciliation. Not in a dashboard.
live·sample feedControls execute while the request is still live. Anything else is observability.
Teams act before overspend becomes a rollback or a finance escalation.
OpenAI-compatible endpoint. Standard headers. No SDK lock-in.
Zero friction in the critical path. Drop-in SDK automatically evaluates rules, caches responses, and dynamically routes to fallbacks without blocking the UI thread.
Prompts are never
stored or logged
Cryptographically signed
decision logs
Never trained on.
Opt-out by default
SAML / OIDC
integration ready
Your customer's PII is never exposed to the control plane. We parse metadata, enforce policies, and blindly pipe the sensitive payload.
By intercepting the request lifecycle before it executes, FinOps teams guarantee that hard-coded budgets are physically impossible to exceed.
We've built all the primitives required to run production AI workloads with predictable margins, so you don't have to build them yourself.
Set intelligent rules that dynamically downgrade models or cap requests the moment a tenant approaches their limit — saving thousands automatically.
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Enforce strict dollar ceilings per customer workspace. Enforced in-path, before the spend commits — no chargeback, no overage.
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Anthropic → OpenAI → Bedrock fallback in milliseconds. Deterministic, logged, and never touches your client code.
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Notify Slack or trigger internal billing the millisecond a tenant reaches 80% of their allocated AI budget.
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Built in Rust, deployed to the edge. Auth, budget, autopilot — all evaluated in-path without slowing your users.
Learn moreSynvolv fits best when AI usage is live, variable, and tied to customer behavior — production traffic where one request can change the margin.
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Block requests if budget exceeded
Attribute and enforce AI spend per customer. Margins stay predictable when one tenant spikes.
Stop runaway chat costs with real-time budget enforcement and automatic model downgrades.
Cap agent loop costs automatically. Halt expensive runaway processes before they consume the budget.
Route across providers, enforce policies, and manage usage across workspaces from one in-path hub.
Turn vague provider bills into precise, auditable unit economics finance and product can defend.
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 caseWe'll map your request flow and show where Synvolv triggers outcome changes before unit economics break.