Meilynx
AI FinOps
Stop guessing.Start Quantifying AI ROI.
Meilynx connects LLM telemetry to actual business outcomes. Identify waste, optimize prompts, and scale your AI stack with financial confidence.
From data to decision
Move from spend reporting to action.
Most tools stop at showing the bill. Meilynx ties spend to impact and makes optimization concrete.
Step 1
Ingest Telemetry
Capture models, prompts, retrieval depth, and agent workflows across production systems.
Step 2
Correlate Outcomes
Map cost directly to tickets resolved, conversions, or time saved.
Step 3
Optimize Actions
Reduce context bloat and retries with clear, outcome-safe recommendations.
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
Ingest AI telemetry
Capture models, prompts, agents, and RAG signals across production workflows.
Step 2
Correlate cost with outcomes
Tie spend to tickets resolved, conversions, and time saved.
Step 3
Recommend actions
Reduce waste without reducing impact, backed by evidence.
Signals
Token cost, latency, retrieval depth, retries.
Outcomes
Resolution rate, deflection, conversion lift.
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.
Outcome Correlation
Connect traces to success signals and optimize for real business impact.
Waste Analysis
Surface retrieval bloat and expensive prompt chains that do not deliver outcomes.
Unit Economics
Track cost per ticket resolution or per conversion, not just per token.
Tenant Scoping
Attribute AI spend by customer, plan tier, and feature line with clarity.
Key outcomes
Results leaders can measure.
Reduce AI waste across retrieval, retries, and over-contexting.
Improve accuracy-per-dollar without slowing teams down.
Align AI spend with business KPIs and outcome targets.
Enable confident AI scaling with financial guardrails.
Why Meilynx
Built for accountable AI.
vs Cloud billing tools
Infra-only views that miss business outcomes.
vs LLM observability
Developer-centric metrics without financial accountability.
vs Dashboards
Data without decisions or recommended actions.
Outcome-aware AI FinOps
Goal-driven optimization for production AI, not experiments.
Who it's for
Production AI teams.
- Support AI & ticket automation
- RAG-based knowledge systems
- Agentic workflows
Ready to evaluate Meilynx?
Make AI spend accountable to outcomes.
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Designed for production AI teams.