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.

Book a strategy session
See how it works
Synvolv runtime console

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
19:56:30.808agent-prodALLOWclaude-sonnet-4-69ms
19:56:32.130playgroundDOWNGRADEgemini-2.5-pro7.6ms−$0.0059
19:56:30.514acme-corpDOWNGRADEclaude-sonnet-4-68.7ms−$0.0016
19:56:31.851agent-prodALLOWclaude-haiku-4-53.7ms
19:56:32.158internal-qaALLOWgpt-4o-mini3.5ms
19:56:31.997internal-qaALLOWgpt-4o-mini8.1ms

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.

One in-path layer. six living views.

From the moment a request enters until it's reconciled — every decision, every dollar, every tenant, in one console.

click a tab·tour the surface
synvolvInsights

Request inspector

POST /v1/messages
200 OKreq_8f3a…c90112ms
tenantacme-corp
featuresupport.summarize
modelclaude-sonnet-4-6
est. tokens1,247
est. cost$0.0042
policy pipeline · all passed
auth
tenant
subscription
budget
autopilot
now viewingInsights

Recommendations

3 open
Open
3
2 actionable
Potential / mo
$2,130
if all applied
Applied (30d)
7
$4.1k saved
Avg confidence
93%
model-scored
HIGHconf 94%
Switch batch ops sonnet → haiku
Batch jobs are 42% of spend on a model you don't need for the task.
batch-processordoc-analyzer2h ago
$1,240/mo
Apply
CRITICALconf 88%
Enable semantic cache — 38% overlap
38% of queries are near-duplicates. Caching cuts p50 and cost.
support-botfaq-assistant5h ago
$890/mo
Apply
HIGHconf 97%
Add anthropic fallback for openai
100% OpenAI dependency caused 12m of downtime this month.
prod-gatewayapi-router1d ago
99.99%up
Apply
recompute · hourly
Recommendations that pay for themselves.Synvolv watches your traffic and surfaces specific, dollar-quantified actions. Not vague trends — concrete swaps with the savings math already done.

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.

production-shaped·not prototypes
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

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 →

Control
before the bill.

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

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