Modulis

Modulis LLM Analytics

Monitor Your AI in Production

Track LLM performance, token usage, latency, and cost across providers. Understand how your AI features behave in the real world and optimize for quality, speed, and cost.

LLM Analytics

Key Features

Everything you need from llm analytics—built into one unified observability platform.

Prompt & Response Tracking

Log every prompt and response with full metadata. Analyze patterns, detect quality regressions, and audit AI behavior over time.

Token Usage Monitoring

Track token consumption by model, endpoint, user, and feature. Set budgets and get alerts before costs spiral.

Cost Analysis

Break down AI spending by provider, model, and use case. Identify optimization opportunities and forecast future costs.

Latency Tracking

Monitor response times across LLM providers and models. Detect slowdowns and optimize for the best user experience.

Quality Scoring

Implement custom quality metrics and automated evaluation pipelines. Track response quality across models and prompt versions.

Model Comparison

Compare performance, cost, and quality across different models and providers. Make data-driven decisions about model selection.

How It Works

Modulis integrates with your LLM pipeline via SDK wrappers or API interceptors. Every AI interaction is captured with full context—prompt, response, model, tokens, latency, and custom metadata. Data flows into purpose-built dashboards where you can analyze usage patterns, track costs, monitor quality, and compare model performance.

OpenTelemetry Compatible SDK & API Support Real-Time Processing
1

Ingest

Connect your data sources using agents, SDKs, or direct API integrations.

2

Process

Data is parsed, enriched, indexed, and stored in a high-performance engine.

3

Analyze

Query, visualize, and alert on data across all sources from a unified interface.

Why Choose Modulis for LLM Analytics

Control AI costs by understanding exactly where tokens and dollars are spent

Improve AI quality by tracking prompt/response patterns and detecting regressions

Optimize latency to deliver the best possible AI-powered user experience

Make informed model selection decisions backed by production performance data

Observability for the AI Era

AI features are only as good as your ability to monitor and optimize them. Modulis LLM Analytics gives your team complete visibility into how AI behaves in production—from token costs to response quality—so you can ship AI features with the same confidence as any other part of your stack.

Works With Your Existing Stack

Modulis integrates with the tools and frameworks you already use. OpenTelemetry-native, vendor-neutral, and built for modern architectures.

AWS GCP Azure Kubernetes Docker Terraform GitHub Datadog Grafana Prometheus OpenTelemetry Slack

Ready to get started with LLM Analytics?