Meilynx
AI FinOps
Stop guessing. Start quantifying AI ROI.Tie AI spend to feature outcomes.
Meilynx measures cost drivers across production workflows and correlates them to outcomes—so teams can defend spend, find waste, and ship optimizations with confidence.
Who it's for
Built for production SaaS AI.
If you can define a success signal—conversion, retention, time saved, deflection—Meilynx can tie spend to it.
- SaaS feature evaluation & ROI
- Product releases & experiments
- RAG knowledge assistants
- Agentic workflows
- Internal copilots (IT/HR/Finance)
- Support automation (Zendesk/Intercom)
The problem
AI spend is rising, but efficiency isn't.
- AI spend is growing, but ROI is unclear.
- Existing tools show usage, not business outcomes.
- Teams can't explain why costs grow or what to optimize.
What Meilynx does
Outcome-aware AI FinOps in three steps.
Step 1
Measure cost drivers
Measure cost drivers—tokens, latency, retries, retrieval depth—across production workflows.
Step 2
Correlate outcomes
Tie spend to feature KPIs like conversion lift, retention, deflection, or time saved.
Step 3
Optimize with evidence
Evidence-backed optimizations that reduce cost without harming outcomes.
Signals
Token cost, latency, retrieval depth, retries.
Outcomes
Conversion lift, retention, deflection, time saved.
Actions
Prioritized savings tied to impact.
Outcome-aware AI FinOps
Built for accountable production AI.
Explain why costs rise, where waste accumulates, and what to optimize without sacrificing outcomes.
Cost per Outcome
See cost per outcome across workflows and prove ROI by business signal.
Impact Simulation
Simulate impact before you ship: retries down, context trimmed, outcomes intact.
Spend vs Success Rate
Compare spend versus success rate to surface high-cost misses.
Waste over Time
Track waste over time by tenant, plan, and feature line.
Key outcomes
Results leaders can measure.
Lower cost per successful outcome (by feature, customer, region).
Explain cost spikes with evidence (retries, retrieval depth, over-contexting).
Preview before/after impact of changes before shipping.
Track efficiency by release/version and segment.
Why Meilynx
Built for accountable AI.
Outcome-aware cost
Spend tied to success signals instead of usage-only metrics.
Explainable waste detection
Deterministic drivers with evidence for why spend is wasteful.
Actionable recommendations
Impact previews show before/after deltas before you ship.
Operational clarity
Workflow-aware configuration that scales across teams.
Outcome-aware AI FinOps
Goal-driven optimization for production AI, not experiments.
Ready to evaluate Meilynx?
Make AI spend accountable to outcomes.
Get a focused walkthrough of your production AI cost drivers.
Built for feature ROI evaluation in production.