About AgentLift

AgentLift is the deployment platform purpose-built for AI agents. We believe that shipping an AI agent to production should be as simple as deploying a web app — and that observability, cost tracking, and quality assurance should come for free when you own the runtime.

Today, building a production AI agent means stitching together a model provider, a framework, a gateway, an observability tool, an evaluation system, and a deployment target. Each tool is good individually, but the integration burden falls entirely on you. AgentLift replaces that patchwork with a single managed runtime.

Because we own the runtime, everything else becomes a feature. Tracing is automatic — no SDK to integrate, no instrumentation code. Cost tracking is built in. And we can run regression checks before every deploy, because we have access to both the deployment pipeline and the historical trace data. No other platform can offer this combination.

Our approach

We're building AgentLift on two principles: zero-config observability and zero-markup pricing. When you deploy an agent with AgentLift, every LLM call, tool invocation, and routing decision is traced automatically from day one. And we pass through LLM costs at exact provider rates — no 5% tax, no hidden fees.

AgentLift runs on Cloudflare Workers at the edge, giving your agents global availability with sub-millisecond cold starts. The control plane runs on Google Cloud Platform, providing reliable orchestration, configuration management, and trace storage.

Two paths, one platform

Whether you're a developer who lives in the terminal or a builder who prefers visual interfaces, AgentLift meets you where you are. Use the CLI for a code-first workflow with YAML configuration, hot-reload in development, and instant deploys. Or use the Web UI to build, test, and deploy agents entirely in your browser. Same agent config, same deploy pipeline, same dashboard.