AI Cost Deflation Engine

Lower AI spend now.
Compound AI savings
over time.

Flywheel is the AI routing layer for GraphRAG, agent loops, and retrieval-heavy workloads. It offloads cheap AI work automatically, escalates only when needed, and pushes AI cost per useful answer down over time.

offloaded from Pro savings on offloaded AI traffic OpenAI-compatible AI API in one line
Request
Flywheel
Flash $0.0001
Pro $0.0009
Premium $0.003
Snapshot
Requests offloaded from Pro
Snapshot
Savings on offloaded traffic
Snapshot
Overall blended savings
Snapshot
Spend still concentrated in Pro

GraphRAG, agent loops,
retrieval-heavy traffic.

Flywheel is strongest where repeated structured steps and long-context synthesis make Pro spend explode.

01 / Point
Change one endpoint

Point your existing OpenAI-compatible client at Flywheel. No migration, no new SDK, no rewrite of your app.

02 / Route
Offload cheap work first

Flash handles extraction, formatting, and lightweight reasoning. Pro and premium tiers stay reserved for the expensive edge cases.

03 / Learn
Compound savings over time

Every decision leaves telemetry behind. You see offload, blended savings, and exactly where Pro still dominates the bill.

One line change.
No migration.

OpenAI-compatible API for teams that already ship GraphRAG, agents, and production retrieval pipelines.

Before → After
from openai import OpenAI client = OpenAI( base_url="https://api.openai.com/v1", base_url="https://flywheelrouter.com/v1", api_key="flywheel" ) response = client.chat.completions.create( model="flywheel-auto", messages=[{"role": "user", "content": prompt}] ) # response.model → "gemini-2.5-flash" # response.flywheel.estimated_savings_usd → 0.0104
Pilot snapshot
$0.000
saved vs. keeping every request on the reference Pro tier
gemini-2.5-flash
gemini-2.5-pro
View full dashboard →

Built for production.
Measured like FinOps.

OpenAI-compatible

Drop-in replacement. Any framework that supports custom base_url works out of the box. No new dependencies.

Smart step detection

Automatically classifies requests as JSON, Cypher, or generic. Cheaper models handle structured tasks, complex reasoning gets escalated.

Telemetry-driven routing

Every outcome is logged. Routing decisions improve over time as the system learns what works for your workload.

Real-time dashboard

Live stats on requests, model mix, escalations, and cost savings. Always know exactly what's happening.

Automatic escalation

Failed or low-quality responses are automatically retried on the next model tier. No manual fallback logic needed.

Per-request tracking

Full audit log with model used, cost, savings, and validation outcome for every single request.

More than fallback.
Less than lock-in.

OpenRouter gives access. Generic routers lower the bill in the moment. Flywheel is built to change the long-term economics of repeated AI workloads.

01 / Not just a gateway
Measure the delta, not only the response.

Flywheel tracks reference spend, actual spend, offloaded traffic, and where Pro still dominates. You see cost structure, not just model output.

02 / Not just one-shot routing
Optimize today. Learn for tomorrow.

The first win is routing. The durable win is telemetry: repeated workload patterns make future decisions cheaper and more predictable.

03 / Built for heavy workloads
GraphRAG and agents are where budgets explode.

Repeated retrieval, extraction, synthesis, and structured validation are exactly where cheap tiers can remove the most Pro traffic without breaking quality.

Hybrid pricing.
Clear math.

Platform fee for the routing layer, plus optional shared savings on the verified delta. Easy to pilot, sane to scale.

Base + % of savings

A fixed platform fee covers the gateway, telemetry, dashboard, and support. Shared savings applies only to verified, measurable delta against a fixed reference tier shown in the dashboard.

Startup
Up to $5k/mo LLM spend

Best for first pilots and one workload in production.

  • All routing & escalation
  • Real-time cost dashboard
  • Up to 3 model providers
  • Monthly savings report
Book a pilot
Scale
$5k – $50k/mo spend

For teams with meaningful monthly LLM spend and repeated traffic.

  • Everything in Startup
  • Unlimited model providers
  • Custom routing rules
  • SLA + uptime guarantee
  • Slack support channel
Book a pilot
Enterprise
$50k+/mo spend

Private deployment, governance, and custom economics.

  • Everything in Scale
  • On-premise deployment
  • SSO & audit logs
  • Dedicated account manager
Talk to us
Example: — If the same workload would cost $10,000 on your reference Pro tier and Flywheel brings it down to $6,800, the savings base is the verified $3,200 delta shown in your dashboard.

Ready to start

Put one heavy workflow
through Flywheel first.

Start with GraphRAG, agent loops, or any retrieval-heavy pipeline. Measure offload, blended savings, and where Pro still leaks budget.

base_url = "https://flywheelrouter.com/v1"
See live dashboard Book a pilot →