The platform you'd have built. Without the eighteen months.
You started building agentic AI in-house. Three months in, you have eval, observability, and a connector library — and zero agents in production. Dataworkz is the platform built for the team that wants to own the build.
You wanted to ship agents. You’re shipping infrastructure.
Eval, deployment, audit, and orchestration rebuilt for every agent. The notebook-to-production gap is where your roadmap goes to die.
Infra over use cases
Eval, deployment, and audit infra rebuilt for every agent.
Notebook-to-production gap
Six weeks to production. Every time.
Vendor lock-in fear
Rational. The platform stays composable — BYO everything.
Build vs. depend
Build it yourself, on production-grade tooling. Not a black box.
Three Mondays, three different outcomes.
Describe what you need. The platform builds the agent.
Pick from the library, customize in the visual builder, or build your own from a plain-English description — all on the same DSL.
One platform underneath every agent.
Eval, observability, audit, RBAC, and deployment — built in. Predictable or adaptive, both run on the same DSL, in your VPC.
Your build, accelerated. Your platform, owned.
The DSL is yours. The agents export as containers. The LLM is whichever one you trust this quarter. Production-grade infrastructure your team didn’t have to write.