The infrastructure layer
your agents actually need.
Your engineering team has built capable agents. The question every CTO eventually faces is what sits underneath them: the simulation layer, the CI/CD pipeline, the observability stack, the governance framework. Lyzr is that infrastructure – framework-agnostic, cloud-agnostic, and built for enterprise production from day one.
Framework – LangChain, CrewAI, Bedrock, custom – no rewrite
Simulation runs before any agent touches production
Every deployment versioned, reviewed, and rollback-ready
Average time from first agent to governed production estate
CTOs at these organizations run agents on Lyzr infrastructure
Recognized by
Framework-agnostic. Production-proven.
The agents your team built are only as reliable as the infrastructure beneath them. Lyzr gives CTOs the five layers that turn capable agents into production-grade systems – without changing a line of agent code.
Connect. Simulate. Ship. Keep shipping.
The four stages every CTO goes through – from connecting existing agents to running a continuously improving production estate.
Your existing stack. No migration.
LangChain, CrewAI, Bedrock, custom SDKs – Lyzr infrastructure connects to all of it. Your team keeps building the way they build. Lyzr adds the production layer beneath.
50,000 scenarios. Before anyone sees it.
Every agent runs through Lyzr’s simulation engine before production. Domain-specific test suites, adversarial inputs, edge cases. Failures caught in simulation, not in front of users.
Git-native CI/CD. Versioned to the commit.
Every agent deployment tracked to a commit hash. Non-prod → eval gate → approval → production. Rollback is one command. No manual fire drills when something goes wrong at 2am.
Agents that get better in production.
Lyzr’s Agent Improvement Engine and ShadowLM fine-tuning keep your agents sharp. Full trace observability surfaces exactly where each agent needs improvement – and closes the loop automatically.
In production. At enterprise scale.
CTOs who deployed Lyzr’s infrastructure layer and shipped agents that stayed in production.
The technical questions that move things forward.
These are the exact questions CTOs asked in the evaluations that became production deployments.
We’re running LangChain and some custom SDK agents. Does Lyzr require us to rewrite or migrate them?
What does the simulation engine actually do, and how is it different from our existing test suites?
We want Git-native deployments – does Lyzr’s CI/CD integrate with GitHub and Azure DevOps?
What does ShadowLM actually do, and how does fine-tuning work inside our VPC?
How does observability work across agents built on different frameworks and clouds?
Take something back to the team.
The technical resources CTOs use to evaluate, validate, and build the case for Lyzr’s infrastructure layer.
Playbook
Template
PlaybookWhat CTOs say after production.
Your agents are built. Now let’s make them production-grade.
Bring your current stack. We’ll walk through what the infrastructure layer looks like on your specific environment – simulation, CI/CD, observability, and governance – in 45 minutes.
Architecture reviews are free. 45 minutes with Lyzr’s Applied AI team.