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OptiX

AI & LLM Cost Management

See every token. Optimize every model.

End-to-end AI and LLM cost visibility across providers, models, teams and use cases—connecting model economics to budgets, governance, quality and business value.

See it in action
Complete VisibilityUnified cost and usage across the target environment
Cost OptimizationIdentify waste, inefficiency and savings opportunities
AI-powered InsightsPrioritized recommendations with business impact
GovernanceBudgets, policies, allocation and accountability
Key Capabilities

AI & LLM Capabilities

Measure AI and LLM economics across models, tokens, prompts, users, applications, workloads, GPU resources, and business ownership.

Token-level Visibility

Track input, output and cached tokens with cost and performance context.

LLM Cost Analytics

Analyze model, prompt, user, application, project and business-unit cost.

AI Cost Intelligence

Detect cost drivers, anomalies and waste with AI-powered analysis.

Optimization Engine

Right-size models, reduce tokens, optimize prompts and route workloads intelligently.

Policy & Governance

Budgets, thresholds, guardrails and approval workflows for responsible AI spend.

Chargeback & Showback

Allocate AI costs to teams, projects, products and business units.

Business Outcomes

Turn Cost Visibility into Measurable Value

Lower AI unit cost, improve model and prompt efficiency, strengthen cost accountability, govern consumption, and scale AI investment with better economics.

Reduce AI SpendEliminate waste and lower AI cost through continuous optimization.
Increase EfficiencyOptimize tokens and models to improve AI economics.
Better Model DecisionsChoose the right model for the right use case.
Govern with ConfidenceImprove compliance, security and cost control.
Accelerate InnovationReinvest savings to scale AI adoption.
Focus Areas

OPTIX for AI & LLM

Focus on the AI cost drivers that matter most—from model economics and prompt efficiency to GPU usage, governance, allocation, and sustainability.

Model EconomicsCompare providers and models by cost, quality and workload.
Prompt OptimizationReduce unnecessary tokens and repeated prompt overhead.
GPU / Inference CostTrack expensive training and inference resources.
AI FinOpsBudgets, allocation, showback, chargeback and forecasts.
Responsible AI SpendEnforce spend policies and approval guardrails.
SustainabilityTrack AI workload efficiency and environmental impact signals.
How It Works

How OPTIX Works for AI & LLM

Collect AI usage and telemetry, normalize model and token economics, enrich with enterprise context, recommend optimizations, apply approved actions, and measure value.

  1. 01

    Ingest

    Collect cost, usage and telemetry from AI / LLM sources.

  2. 02

    Unify & Enrich

    Normalize model and token economics using VantageX context.

  3. 03

    Analyze

    Analyze usage, cost patterns and inefficiencies.

  4. 04

    Recommend

    Generate optimization and model-selection recommendations.

  5. 05

    Act & Automate

    Apply approved policies and optimization workflows.

  6. 06

    Measure & Improve

    Track savings, business value, quality and unit economics.

Built to Integrate

Connect to the Enterprise Ecosystem

Connect model providers, AI platforms, telemetry sources, data platforms, and enterprise context to create end-to-end AI cost intelligence.

Azure OpenAI
AWS Bedrock
Google Vertex AI
VantageX
Azure OpenAI
AWS Bedrock
Google Vertex AI
VantageX

Optimize AI and LLM spend with confidence.

Use OPTIX for AI to track model, token, prompt, and inference cost so teams can innovate without overspending.

Token and model visibilityPolicy and governance controlsAI spend optimization
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