Unified observability for LLM costs, business metrics, user analytics, and infrastructure โ all in one dashboard built for AI-first teams.
You're shipping AI features. But you have no idea what they cost, whether they work, or if they're actually helping your business.
LLM costs are invisible until the invoice arrives. By then, the damage is done. Most teams discover cost spikes weeks late with no way to trace them back to a feature, user segment, or prompt change.
There's no HTTP 500 for a bad AI response. A model can confidently hallucinate thousands of times a day and your error monitoring shows zero errors. You only find out when users churn.
Mixpanel for users. Datadog for infra. Langfuse for LLMs. Sentry for errors. Stripe for revenue. None of it is connected. Answering "is our AI driving retention?" requires a week of data work.
The average AI team runs 4โ6 separate monitoring tools and still can't answer "are our AI features profitable?" ObsrvAI was built to answer that question, and every question like it.
Stop switching between eight tools. ObsrvAI replaces them all.
Every decision in ObsrvAI was made for one reason: give AI product teams answers, not more dashboards.
See that your p95 latency spiked on Tuesday, quality scores dropped 15%, and three high-value users churned within 48 hours โ all on the same screen. No SQL. No data engineering. ObsrvAI joins AI observability with user analytics and revenue data automatically.
Most tools track LLM calls. ObsrvAI tracks agent sessions end-to-end: every step, every tool invocation, every memory read/write, every RAG retrieval โ in a waterfall view that shows exactly where your agent spent time, where it failed, and why.
Deploy the full stack with one docker-compose command. Your database, your Redis, your servers. ObsrvAI is software you run โ not a cloud you send data to. No vendor lock-in, no data residency concerns, no surprise bills based on event volume.
The built-in AI assistant knows your metrics. Ask "which model is costing the most this week?" or "show me users who churned after a low-quality AI response" and get an answer instantly โ no SQL, no pivot tables, no BI tool required.
Why run four tools when one does everything โ and connects them?
โ built-in ย ยทย ~ partial / requires config ย ยทย โ not supported
Works with any LLM provider. Zero config. Data in seconds.
One command spins up the full stack โ database, cache, collector, and dashboard โ on your own server.
Some teams only need AI observability. Others only need business analytics. ObsrvAI works either way โ pay only for what you use.
All modules are included in every plan. Enable what you need from Settings.
The average team running Langfuse + Mixpanel + Datadog + Sentry spends $800โ2,400/month and still can't answer basic questions about their AI product.
14-day free trial โ no credit card required. You run it, you own the data.
No event limits, no surprise bills. Storage scales with your own infra.
All plans are self-hosted. Your data lives in your PostgreSQL database on your servers. ObsrvAI never sees your telemetry data. License fees cover software access and support โ not storage or compute.
Full platform. All features. Your data stays on your infrastructure.
No credit card required ยท cancel anytime ยท full access from day one