Observe
Reconstruct AI economics from request-level metadata. See where spend is going without requiring raw prompts.
BASELINE ECONOMICSTHE ECONOMIC OPTIMIZATION LAYER FOR AI
AI performance,
without the waste.
Cermelo finds lower-cost AI configurations, validates that quality holds, and measures what actually changes in production.
Book a demo ↗MODEL AGNOSTICQUALITY VALIDATEDPRODUCTION VERIFIED
NordicShop AB · August analysisSYNTHETIC DEMO
AI ECONOMICS / OVERVIEW
NordicShop AI
MONTHLY AI COST10,961 EUR959,949 production requests
IDENTIFIED OPPORTUNITY7,008 EUR63.9% of spend, simulated
VERIFIED SAVINGS0 EURProduction not completed
OPTIMIZATION PROOF LADDEREvidence, not estimates alone.
SIMULATED7,008 EURWorkload analysis
EVALUATION-VALIDATED3,024 EURQuality margin passed
PRODUCTION-VERIFIED0 EURNot completed
TOP OPPORTUNITY
Support classification: model swap
The mid-tier model stayed within the agreed 2 pp quality margin. The cheapest model was rejected.
CURRENT 0.240 EUR / 1k→CANDIDATE 0.048 EUR / 1k✓ PASSED
01 / THE PROBLEM
AI spend is easy to measure.
AI efficiency isn't.
Teams can see tokens, requests and invoices. That doesn't tell them whether a cheaper model, smaller context, or different configuration could deliver the same business result.
Cermelo connects cost, quality and production outcomes so optimization becomes measurable.
02 / HOW IT WORKS
From opportunity
to evidence.
Every saving moves through a proof ladder. Cermelo separates what could work from what has actually been validated.
Optimize
Find caching, batch, context and model opportunities, ranked by what each would save and what proving it takes. No saving is counted twice.
SIMULATED OPPORTUNITYEvaluate
Test cheaper configurations on your own examples against an agreed quality margin. Candidates that fail are rejected and not suggested again.
QUALITY VALIDATIONVerify
Measure cost and quality in controlled production, through Cermelo's gateway or your own, before a saving is called verified.
PRODUCTION EVIDENCE03 / CERMELO GATEWAY
One gateway.
Every model.
One objective.
Route AI workloads through a provider-neutral layer that can benchmark alternatives and choose the lowest-cost validated configuration.
Explore the platform ↗ROUTING PREVIEWROADMAP · ILLUSTRATIVE
REQUEST support.replymax quality drop 2 pp · latency ≤ 2.0s
MODEL A0.076 EURcurrent baseline
MODEL B0.035 EURwithin quality marginSELECTED
MODEL C0.011 EURoutside quality marginREJECTED
Selected for lowest cost within constraints−53.6%
04 / INSIDE CERMELO
One request.
Multiple layers of control.
Cermelo sits between an application and its AI providers. Each layer has a specific job: understand the task, remove avoidable work, select an eligible model, protect quality, and measure the economics of the result.
00Customer application+
INPUT
A support reply, document extraction, classification, coding task or other AI request.
CONTROL
The application sends the request to one Cermelo endpoint instead of coupling directly to one model provider.
OUTPUT
The application receives the response in the format it expects.
01Cermelo AI GatewayCONTROL PLANE+
INPUT
Request metadata, workload policy and the customer's quality, latency and cost constraints.
DOES
Meters the request, applies policy and orchestrates the optimization layers without locking the application to one provider.
RECORDS
Model decision, tokens, latency, status, calculated cost and the evidence needed for later analysis.
02ATask Analysis Partly built+
PURPOSE
Classifies what each request needs. Today it shows your usage mix by kind of task and which cheaper models to test; routing on it is on the roadmap.
02BContext Engine Partly built+
PURPOSE
Shows what oversized context and long system prompts cost per workload, and what a shorter version would save. Automatic trimming is on the roadmap.
02CCache Engine Partly built+
PURPOSE
Finds repeated prompts, near-identical questions and reusable prefixes in your usage, and counts a caching saving only where request timing and cache prices make it pay. Caching inside the gateway is on the roadmap.
03Model Router RoadmapDECISION LAYER+
CANDIDATES
Considers models and providers that are eligible for this workload.
CONSTRAINTS
Uses evaluation evidence and policy to exclude configurations that fail required quality, latency or reliability.
OBJECTIVE
Selects the lowest-cost validated configuration, not simply the cheapest model available.
PROVIDER-NEUTRAL MODEL LAYER
OpenAIAnthropicGeminiOther / open models
04Quality EngineGUARDRAIL+
BEFORE ROUTING
Benchmarks candidate configurations against representative tasks and customer-defined acceptance criteria.
DURING TESTING
Compares baseline and candidate outcomes, including non-inferiority checks where appropriate.
RESULT
Only configurations with sufficient evidence become eligible for optimized routing.
05User ResponseDELIVERY+
DELIVERS
The selected model's response returns to the customer application while Cermelo retains the operational measurements required for economics.
DESIGN GOAL
Optimization should be invisible to the end user except for better economics and, where possible, lower latency.
BOUNDARY
Production data handling remains governed by the customer's configured privacy and retention policy.
06Economics EngineEVIDENCE+
MEASURES
Provider cost, normalized baseline cost, optimized unit cost and, when available, cost per successful business outcome.
PROOF LADDER
Separates simulated opportunity from evaluation-validated evidence and production-verified savings.
WHY IT MATTERS
Turns infrastructure optimization into an auditable economic result rather than a generic “cheaper model” claim.
CERMELO'S OBJECTIVEMinimize cost within constraints.
Quality, latency and reliability remain requirements, not afterthoughts.
THE OUTPUTCost per successful AI outcome.
A common economic measure across models, providers and optimization techniques.
THE CERMELO OBJECTIVE
Minimize AI cost
subject to quality, latency
and reliability constraints.
min COST AI such that QUALITY ≥ Q* LATENCY ≤ L* RELIABILITY ≥ R*
05 / DATA BOUNDARIES
Your prompts don't need
to become our data.
Cost analysis works from restricted metadata, cleaned on your own computer before it is sent. Quality tests run where the workload already lives and return results, not sensitive content.
CUSTOMER ENVIRONMENTPromptsResponsesEvaluation dataAPI keys
ONLY RESULTS→
CERMELOCostQuality resultLatencyVerified outcome
06 / TRUST & COMPLIANCE
Built for scrutiny.
Certification on the way.
Cermelo is an early-stage company and holds no certifications yet. Privacy is built into the product today; formal certification is on our roadmap, and we keep the two clearly apart.
↳ Read moreGDPR
Built in by designData minimization from day one: uploaded logs are analyzed and not kept, tests can run in your own environment, and the database is hosted in the EU (Ireland).
EU AI Act
PlannedA documented assessment of Cermelo's obligations under the EU AI Act.
ISO 27001
PlannedAn information security management system certified against ISO 27001.
ISO 42001
PlannedAn AI management system certified against ISO 42001.
SOC 2 Type II
PlannedAn independent audit of our security controls over time.
BUILD BETTER AI ECONOMICS
Spend less.
Prove more.
See how Cermelo can benchmark your AI workloads, validate lower-cost configurations and turn optimization into evidence.
Book a demo ↗