Ship AI features
without
bleeding margin.
A runtime control layer that stops bad AI economics before they happen.
Not after a rollback. Not after a finance escalation.
Not a post-mortem
dashboard. A live
decision layer.
Most tools surface the cost spike after it has already compounded. Synvolv enforces the decision while the request is still in flight.
The product
stays live.
The margin
breaks first.
AI products rarely fail because they go offline. They fail because usage expands, costs drift, and unit economics disintegrate quietly—long before the next report arrives.
"Dashboards explain the damage later. They cannot control what happens while the request is still live."
Usage gets messy fast
Prompts expand, loops run longer, retries stack. Spend can drift within hours — long before the next report.
One tenant distorts the whole bill
Shared environments make customer-level action slow, painful, and easy to miss until the invoice arrives.
Observability arrives after the damage
Dashboards show what happened. They can't control what should happen while the request is still live.
Six controls.
One enforceable surface.
Policy-as-code plus runtime enforcement. Each module is independently configurable and composable. Every module runs against the same live request.
Budget Guard
Hard limits that enforce before spend commits. Per tenant, per feature, per route.
Tenant Attribution
Token-accurate cost tied to tenant, feature, and workflow. Not a cost-center aggregate.
Routing Policy
Provider and model behavior defined before launch, not improvised during an incident.
Auto Triggers
Downgrade, cap, cache, reroute, or fallback as thresholds approach. No human in the loop.
In-path Enforcement
Controls run while the request is live. Not after reconciliation, not in a dashboard.
Defensible Economics
A single view finance, engineering, and product can all cite without re-deriving.
Synvolv sits in the live request path.
Proactive unit economics that trigger before the spend is committed. Not after reconciliation. Not in a dashboard.
Request enters
Your app sends an AI request with tenant, feature, and model context.
Synvolv evaluates
Estimates spend, checks budget, and applies routing policy before execution.
Decision happens
Allow, downgrade, cap, reroute, cache, or fallback. Driven by your policy.
Provider executes
The model call runs, usage returns, and cost is reconciled in real time.
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 teams shipping
AI to external users.
Synvolv fits best when AI usage is live, variable, and directly tied to customer behavior. It is designed for production-shaped traffic where one request can change the margin.
Multi-tenant SaaS products
Attribute and enforce AI spend per customer. Keep margins predictable even when your largest tenants spike in usage.
Customer-facing copilot features
Prevent runaway chat costs with real-time budget enforcement and automatic model downgrades.
Agent workflows with variable usage
Control agent loop costs automatically. Stop runaway processes before they consume your entire budget.
Platform teams in shared traffic
Route requests across providers, enforce policies, and manage usage across workspaces from one hub.
Product and FinOps leaders
Responsible for the commercial viability of AI features and ensuring defensible unit economics.
Model-driven cost structures
When the difference between GPT-4o and GPT-4o-mini is the difference between profit and loss.
Low-volume prototypes, internal experiments, or teams whose only problem is model abstraction.
AI is already part of the product.
Cost control still is not.
The question is no longer whether teams will ship AI. They already are. The real question is whether they can run it profitably in production.
As AI moves from pilot to live product usage, cost stops being a reporting problem and becomes a runtime decision. That is why this category is opening now.
Adoption changed
AI is now part of real product usage, not just internal pilots.
Budget changed
Model costs now affect operating decisions, not just innovation budgets.
Ownership changed
As spend moves into the application layer, product teams need runtime control.
When AI becomes part of the product, cost becomes part of runtime.
Built for production-shaped traffic.
Verified reliability for the live request path.
OpenAI-compatible
Drop-in replacement for any OpenAI-compatible client. Zero code changes to start enforcing policy.
Multi-provider
Native support for OpenAI, Anthropic, Gemini, and custom provider endpoints through one gateway.
Streaming-safe
Optimized for the streaming-first nature of modern LLMs. Real-time reconciliation without adding latency.
Full Audit Trail
Every request, decision, and policy action is logged and auditable in real-time for compliance.
Production Overhead
Ultra-low latency gateway layer adding <1ms to your request path. Built for high-volume traffic.
Tenant-aware Control
Enforce budgets and routing per customer out of the box. Designed for complex B2B SaaS architecture.
Others help teams ship AI.
Synvolv helps them ship AI profitably.
If your main problem is model access, a broad gateway may be enough. If your main problem is profitability, tenant-level attribution, and enforceable budgets in the request path, that is where Synvolv fits.
Compare optionsSimple pricing for every stage of growth
Start free, scale when you need to, and lock launch pricing if you join as a design partner.
Free
For individuals exploring Synvolv
Pro
For builders and small teams who ship
Lock this rate for 12 months if you join by April 30, 2026.
Scale
For startups and multi-tenant apps
Includes white-glove onboarding for launch partners.
Enterprise
For large organizations with compliance needs
Priority onboarding and tailored rollout for launch partners.
Processing over 100M requests/month? Contact us for custom pricing and dedicated support tailored to your needs.
Talk to our sales teamControl
before the bill.
We'll map your request flow and show where Synvolv triggers outcome changes before unit economics break.