Deploy AI agents intoproduction, in weeks.
Lab0 is an AI forward-deployed engineer. It deploys software into the enterprise, your legacy SaaS and your AI agents, through the same discovery, integration, testing, and go-live. Buy an agent or have us build one; either way it lands in production with the integration, guardrails, and approvals it needs. Demos are easy. Production is the part we do.
Bought & custom agents·Eval gates · dry-run · rollback·Backed by Y Combinator
Everyone can build an agent demo. Almost no one can get it into production.
The model isn't the hard part anymore. The hard part is the same one enterprise software always had: integration, permissions, testing, and the org trusting it enough to turn it on. That's a deployment problem, not a model problem, and it's where agents stall.
How Lab0 deploys an AI agent.
The same lifecycle we run for enterprise software, with the test and control phases upgraded for agents. Discovery and integration look familiar; evals, guardrails, and tuned autonomy are the agent-native parts. Bought or custom, the workflow is the same.
Discover the workflow & scope
Agents gather context across Slack, email, docs, and existing systems, map the workflow the agent will own, and define what it's allowed to touch, the access, permissions, and blast radius, before anything is wired.
Integrate the agent & set guardrails
Wire the agent, one you bought or one we build, into your systems of record, scope its permissions, and set guardrails and the autonomy line per step: where it runs unattended versus where a person signs off.
Eval, dry-run & go live
Run eval suites against real cases, preview every action as a controlled dry-run before it writes to a live instance, then promote, with approval, monitoring, and rollback staying on your team as the agent runs.
Build the agent rollout yourself, or run it as a product.
You can stand up an agent in an afternoon. Getting it safely into production, integrated, scoped, evaluated, and trusted, is the part that takes most teams quarters and a standing team. That's the part Lab0 productizes. If you already have that muscle in-house, you may not need us.
| DIY agent rollout | Lab0 | |
|---|---|---|
| Time to production | Months in POC purgatory while integration, permissions, and trust get sorted by hand. | Pilot to production in weeks, the lifecycle runs as a product that gets faster each time. |
| Integration | Glue code to each system of record, rebuilt per agent and per environment. | Wired into ServiceNow, SAP, Workday, and custom APIs through the same consoles we already use. |
| Testing | Manual spot-checks; non-determinism makes regressions hard to catch. | Eval suites and dry-run change previews before anything writes, catch drift before it ships. |
| Safety & control | Autonomy and permissions decided ad hoc, often after something breaks. | Scoped permissions, tuned autonomy, approval gates, monitoring, and rollback on your team. |
| Bought vs custom | Vendor hands you the agent and waves goodbye at the integration boundary. | Agent-agnostic: deploy the agent you bought, or we build one, we own the boundary either way. |
Bought or built, we deploy either.
Lab0 doesn't sell you an agent. It gets any agent into production. Picked a vendor? We integrate, scope, and ship it. Nothing off-the-shelf fits? We build the agent too. Same lifecycle, same safety model, no lock-in.
Your vendor, in your stack
You chose an agent platform. Lab0 integrates it into your systems of record, scopes its permissions, evaluates it, and ships it, owning the integration boundary most vendors leave to you.
Built when nothing fits
When no off-the-shelf agent matches the workflow, Lab0 builds it, including multi-agent systems with an orchestrator and specialist agents, through the same discovery-to-go-live lifecycle.
Any model, any framework
Not betting on one model or framework. The deployment muscle, integration, evals, guardrails, approvals, is what carries over, whatever the agent underneath is.
Controlled by design.Every agent action is previewed as a dry-run controlled change before it's applied to a live instance. Scoped permissions, eval gates, approval, and rollback stay with your team, and monitoring runs as the agent does, because agents drift.
Book a demo.
If you've got an agent stuck in a pilot, bought or half-built, give us the one that won't make it to production, and we'll run the deployment end to end. If it's already live and behaving, you don't need us.