We watch the machines so you don't have to.
Obsivara is an AI observability and operations platform for engineering and operations teams running LLMs, AI agents, and n8n workflows in production. It monitors per-workflow cost, silent failures, errors and latency, and overall health, and warns teams before problems become outages. Obsivara sits in the AI observability category — alongside application and LLM monitoring tools — and reads telemetry passively via native n8n, an SDK, OpenTelemetry, or webhooks, so it is never in the request path. Obsivara is first an AI observability platform; through Obsivara Build we also design and operate AI agents and automations for teams that want them built — always shipped pre-instrumented, so they are monitored from the first run.
Obsivara was founded in 2025 by engineers who spent years running hundreds of AI workflows in production. We loved what automation made possible — and we got burned, repeatedly, by what it hid. Silent failures that corrupted data for days before anyone noticed. Retry loops that quietly multiplied API bills tenfold overnight. Model regressions no dashboard was watching for.
The tooling we had was built for servers and services, not for probabilistic systems that fail in new and creative ways. Every team we knew was stitching together spreadsheets, log greps, and gut feel to answer basic questions: is this workflow healthy? What did it cost? What breaks next?
“The best incident is the one that never pages you.”
So we built the control plane we wished existed — starting with deep n8n integration and expanding across the AI workflow stack. One place to trace every execution, predict failures before they cascade, and hold every dollar of AI spend accountable.
Zero-friction observability
Instrumentation should never be a project of its own — we meet your workflows where they run.
Predict, don't react
We invest in models that catch drift, degradation, and failure patterns before they become outages.
Every dollar accountable
We attribute every token, call, and execution to the workflow that incurred it — no black boxes.
Trust through transparency
Clear data handling, honest limits, and audit trails for everything the platform touches on your behalf.
About Obsivara
What is Obsivara?
Obsivara is an AI observability and operations platform for teams running LLMs, AI agents, and n8n workflows in production. It tracks per-workflow cost, silent failures, errors, latency, and a health score, with predictive alerts, so teams can see and control production AI before it becomes a problem.
Is Obsivara an agency?
No. Obsivara is first an AI observability platform. It also offers a done-for-you build service (Obsivara Build) that designs and ships AI agents and automations pre-instrumented for monitoring, but the core product is the observability platform, not agency work.
What does Obsivara monitor?
Cost, errors, latency, silent failures, and overall health across LLM calls, AI agents, and n8n and other automated workflows. It ingests telemetry read-only via native n8n, an SDK, OpenTelemetry (OTLP), or webhooks, so it never sits in your request path.
How is Obsivara different from Datadog, Langfuse, or Helicone?
General APM tools track infrastructure, and most LLM tools track only model calls. Obsivara is purpose-built for production AI end to end: it unifies cost intelligence, health scoring, predictive failure alerts, and a knowledge map in one place, and it understands n8n workflows natively rather than treating them as generic services.
Who is Obsivara for?
AI and platform engineers, DevOps teams, and engineering leaders responsible for the reliability, cost, and governance of AI running in production.