Your agents. Under control.
Full visibility, cost control, and operational confidence for engineering teams running AI agents at scale. Think Datadog + Kubernetes — built for the agent era.
When agents fail in production, teams scramble in the dark — no logs, no costs, no replay. That ends with Oculis.
You have no idea what your agents are actually doing right now. Are they running? Stuck? Hitting rate limits? Silence.
LLM bills arrive at end of month with zero breakdown. Which agent burned $4k? Which workflow is the most expensive? Nobody knows.
Reproducing a failed agent run means hours of log archaeology across multiple systems. There's no single source of truth.
Agents fail silently and gracefully degrade for hours before a human notices. By then the downstream impact is severe.
Oculis gives you the observability layer that should have shipped with your agent framework.
Live dashboards showing every agent's health, status, and execution state. Know the moment something goes wrong — before your users do.
Attribute every token, every API call, every dollar — down to the individual agent, task, and workflow. Optimize spend with confidence.
Structured logs and full execution traces for every agent run. Replay any failed task exactly as it happened — no more guessing.
Configurable alerting on latency spikes, error rates, cost anomalies, and silent failures. Page the right person before the incident escalates.
Works with OpenAI, Anthropic, Gemini, open-source models, LangChain, CrewAI, AutoGen, and custom agent frameworks — no lock-in.
Lock in founding rates before we launch publicly. Prices increase at GA.
Join engineering teams already on the waitlist. We'll reach out with access as spots open.
We'll be in touch soon at .
In the meantime, questions? support@selaware.ai