The enterprise AI value control plane

Make every AI decision an economic decision.

Evalyra connects model performance, cost, risk, and business outcomes—then helps route every workload to the model that creates the most value.

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One decision layer forCostQualityRiskBusiness impact

THE OPERATING SYSTEM FOR AI VALUE

AI spend is visible.
AI value should be too.

Most enterprises can track tokens and invoices. Few can prove which AI capabilities create measurable business value—or select the right model for every task.

01

Measure

Connect AI usage and cost to the business work it supports.

02

Evaluate

Score quality, grounding, risk, latency, and economic return.

03

Route

Match each task to the model with the best risk-adjusted value.

04

Optimize

Learn from outcomes, detect drift, and continuously improve.

START WITH EVIDENCE

From flat files to an economic command center.

Phase 1 deliberately starts simple. Import usage, cost, evaluation, and outcome data from CSV or Excel. Evalyra turns it into a common value model that leaders can act on.

  • ✓ Model and use-case unit economics
  • ✓ ROI, ROAI, payback, and margin impact
  • ✓ Quality, risk, and cost scorecards
  • ✓ Actionable optimization recommendations
Executive overview•••
PORTFOLIO VALUE$4.2MIllustrative annual impact
+18.4%
AI SPEND$1.1MYTD
ROAI2.8×Portfolio
PAYBACK7.3 moMedian
Value by use caseIllustrative data

BUILT TO GROW WITH YOUR AI ESTATE

Start with visibility.
Build toward orchestration.

Phase 1BUILD NOW

Economic observability

Flat-file imports, a canonical value model, and executive dashboards that make AI spend and outcomes visible.

Phase 2

Evaluation intelligence

Connectors, golden datasets, use-case benchmarks, and model recommendations.

Phase 3

Dynamic routing

A policy-aware gateway that selects models by quality, cost, latency, and risk.

Phase 4

Enterprise control plane

Closed-loop optimization, governance, and value orchestration across the AI portfolio.

EVALYRA

Turn AI spending into
measurable value.

We’re partnering with forward-looking enterprises to shape the first release.

Start a conversation ↗