We built the record of what production did.
Odigos is the production context platform. Odigos DeepBPF records what ran inside every service, on which request, with what inputs and result. Nothing in your code, from outside the process. Engineers, AI agents and policies your team approved read from that one record.
AI is on both sides of production now.
Coding agents write it. Attackers with a model probe it. The tools watching production were built for code people typed by hand, and they record what someone thought to log.
Production changed. Its tools did not.
Coding agents ship faster than any team can watch. One attacker with a model now does what took a team, moving as permitted calls between services. Logs record what someone predicted would matter. Neither was predicted.
One record, from outside the process.
Odigos DeepBPF records what ran inside every service, from outside the process, with nothing in your code. Every language, including legacy Java and stripped Go binaries. Under 1% CPU, exported as OpenTelemetry you own.
One record, every purpose.
Record production once. Every purpose reads from it. An engineer or an AI agent after a page. A policy your team approved on every call. A coding agent after every deploy. It runs in production at 11 enterprises.
Deep inside the application. Never in it.
Depth used to mean risk. Safety meant shallow. Reading from outside the process with Odigos DeepBPF removed that trade-off, at the scale a customer benchmarked it, 1.04 million cores.
Inside the application
Ordinary eBPF sees the kernel: a socket, a file. Ours reads inside the process: which function ran, what it was handed, what it returned. Every language, nothing in your code.
Outside the process
Odigos never enters your process. A bad question, or a bad release of ours, stops at our sensor. Every capture has a named approver, masking, and an audit trail.
Odigos Autofocus
When a service drifts, Odigos captures deeper on that path on its own: arguments, return values, the calls underneath. Point at any function and it captures that too. Seconds, not a deploy cycle.
Proven at scale
A Fortune 500 benchmarked it on 1.04 million cores: up to 27.6% less CPU than its bytecode agent. 11 enterprises run it in production. SOC 2 audited.
Backed by infrastructure investors.
The funds that backed the last generation of infrastructure companies are backing the production context platform.
Install today. First answer tomorrow.
One command on Kubernetes, VMs or bare metal. Success criteria written first, on one service. Start a 14-day trial, or get a walkthrough from the team that built the runtime.