Prismatic Labs · Inference Waste Control

Production AI silently wastes inference.

Agents loop. RAG bloats. Caches miss. And nobody notices until the bill arrives.

Each wasted call runs on data center hardware, drawing electricity from the grid, emitting carbon, and consuming cooling water. Nobody tracks that either.

Vetch stops what happens next: cost, latency, energy, carbon, and water impact stop compounding.

Where waste usually hides

Agent loops

Repeated calls without useful progress.

RAG bloat

Large contexts with low answer yield.

Missing attribution

Spend not tied to feature or customer.

No generic savings claim. Vetch measures your traffic, then estimates avoidable waste from your own metadata.

Mini clicker game: simulated waste only

Vetch · waste clicker 0 calls
Waste cards pop up. Click Stop waste to build your streak. Demo data only. Not a benchmark or savings claim.
Waiting for the next waste card…
Score0
Demo waste blocked$0.00
Cleared0
Streak
Simulated demo. Not a guarantee of savings.

Observability shows what happened.
Vetch stops what happens next.

Stalled loops

Repeated calls with low progress

Cache misses

Repeated structures not cached

RAG bloat

Large context with low yield

Excessive generation

Long outputs without useful constraint

Open source · Apache 2.0 · Python · pip install vetch

One import. Every inference call tracked, attributed, and ready to stop.

01 · Detect

Waste patterns in metadata

Stalled loops, RAG bloat, cache misses, unattributed spend: all derived from call metadata. No prompt text stored.

02 · Attribute

Cost by feature, customer, team

Tag every call. Cost, energy, carbon, and water accumulate per session, per tag, per workflow. “The bill went up” becomes “the RAG search feature for enterprise customers did it.”

03 · Control

Warn · Kill · Reroute

Observe first. Promote high-confidence advisories to production controls. Fail-open always. If Vetch fails, your inference continues.

Choose your next step

Run Vetch yourself, or bring us in when the evidence needs a decision.

Install the open-source SDK for free. If a scan surfaces patterns you want help interpreting, Prismatic Labs can review the evidence, design attribution tags, and plan safe production controls.

Self-serve · Free

Install, instrument, and run warn-only reports for any window: hours, a week, or longer.

Run free scan →

Startup Review · from £295

Advisory review, 45-minute call, one-page action plan, rough avoidable-spend range.

Book review →

Team Audit · from £950

Tagging, attribution, spend analysis, recommended policies, engineering/finance summary.

Request audit →

Control Plan · from £2,500

Production rollout plan for warn, kill, and reroute with risk ranking and monitoring.

Plan controls →

Enterprise · Custom

Private deployments, security review, regulated environments, and multi-team rollout.

Get a quote →

Starting prices. Larger or regulated engagements quoted after discovery.

Prismatic Labs

Open-source inference waste control. Paid reviews help teams attribute spend and plan safe production controls.

© 2026 Prismatic Labs