Meet your frontier
product platform.
Runtype is purpose-built to keep you ahead. Develop, optimize, and scale agentic products like a frontier lab.
Building on the frontier is complex.
Agentic products start fast. You describe what you want, the demo works, and the first changes land in minutes.
To turn it into a product, a hundred things hit. All at once.
Auth, evals, cost controls, every surface and model, the upkeep as the frontier shifts. None of it is your idea, but a product customers love needs all of it. With Runtype it’s already handled, so all your energy goes into the part that makes your product yours.
A practical guide to building your agentic platform in 6 months.
Kickoff. “It’s basically a wrapper around an LLM.” Roadmap fits on one slide.
Someone says “multi-tenancy.” Room goes quiet. Roadmap is now four slides.
Demo crushes it. Nobody mentions it’s a single prompt and a hardcoded user.
Discovering evals, prompt security, and model drift in the same week.
Realizing this is a platform. Realizing platforms take years. Not telling the steerco.
“We’re calling it a soft launch.”
A productized agent isn’t one thing. It’s hundreds.
Turning a working prompt into a product means owning hundreds of moving parts at once. These are the layers it takes, and the ones Runtype brings already wired together.
Agents
Autonomous intelligence that reasons, plans, and acts on behalf of your users.
Flows
Visual orchestration for multi-step AI workflows. Branch, loop, transform.
Tools
Connect to any API, MCP server, or custom function. Extend what AI can do.
Product Evals
Measure product quality, not just model accuracy. Test the experience end to end.
Models
Any provider. OpenAI, Anthropic, Google, xAI, open source. Switch freely.
Integrations
Slack, GitHub, Linear, Google Workspace, and custom MCP servers. Connect everything.
Build once. Prove it works. Ship it anywhere.
Every team can build an AI demo now. The hard part is making it work across real surfaces, with real credentials, at production speed. That’s the part Runtype is built for.
Complexity
Most teams never ship past a demo, because a real agent is hundreds of decisions, not one. Runtype makes the 100+ infrastructure decisions for you, so the hard part is already done the moment you start.
Speed
Speed is the payoff, not the pitch. Deploy an agent as fast as you can define it, not by cutting corners, but because the 100+ infrastructure decisions are already made. Months of plumbing become hours.
Production quality
What you ship runs in production, not just in a demo. Multi-tenant, multi-surface, any cloud, any model, with execution logs, usage and cost reporting, guardrails, evals, and the ongoing maintenance handled for you.
Experimentation
Runtype sits above the frameworks, harnesses, and managed services. Try a new model, swap a framework, add a surface. Lower the cost to engineer and you adapt as fast as the frontier moves.
One product, multiple surfaces
Build your agent or flow once. Deploy it to web chat, Slack, API, email, SMS, MCP, and more, each with its own auth, routing, and configuration. Add a surface, not a rebuild.
A runtime, not a framework
You ship features, not infrastructure. Runtype is a managed runtime with agents, flows, tool orchestration, model routing, and execution state built in, running globally on the edge with zero cold starts.
Evals on your real records
Import real records and batch-run them against every change. Compare models side by side on cost, latency, and output quality, so a model swap ships with proof, not vibes.
Graduate to your own cloud
Start on the managed runtime, then deploy the same build to AWS, GCP, Vercel, or sovereign infrastructure. Your agents, flows, tools, and surfaces carry over. No rebuild.
Bring any model, connect the tools your team already uses, ship to every channel, and run it on world-class infrastructure.
Works with OpenAI, Anthropic, Gemini, xAI, Llama, Mistral, DeepSeek, Cohere, NVIDIA, Slack, Discord, Telegram, iMessage, GitHub, Linear, Google Workspace, Email, ElevenLabs, Daytona, Cloudflare, AWS, Google Cloud, Vercel, and many more.
Qwen, Kimi, GLM, AWS Bedrock, Together AI, and 100+ more, via platform keys, your own, or any OpenAI-compatible API
SMS, Exa, Firecrawl, Granola, custom MCP servers, and any MCP client (Claude, ChatGPT, Cursor)
Deploy the runtime to your own cloud (Cloud Run, ECS, Workers, Vercel), or run it managed. Plus vector search on pgvector, Weaviate, or Cloudflare Vectorize.
A HUD for frontier development.
Straight from the dashboard: a real agentic product (its architecture, its agents, its flows) and the evals and logs that keep it honest.
One architecture, every channel
The product canvas wires capabilities (agents and flows) to the surfaces they serve: web chat, Slack, a nightly schedule, a public API, an order webhook. The web chat surface is open in the editor with a single orchestrator fielding every incoming message. Add a surface, not a rebuild.

Agents are configuration, not boilerplate
An operating procedure as the system prompt. A multi-turn loop with budget caps and approval gates. Five active tools where two (triage_ticket and score_order_risk) are your own flows from the canvas above, bound as capabilities.

Flows are the deterministic half
Each step is explicit and each step picks its own model: a cheap classifier here, a stronger writer there. Template variables carry data between steps, and the flow runs exactly this way every time.

Swap a model with proof
Evals run the same flow across model variants side by side: completion status, step outcomes, and duration for each. The cheap model finishing in a third of the time is an argument you can take to production.

Every run, traced to the step
Structured logs with level filters, a volume histogram, and per-step entries showing timing inline. When something fails at 2am, the trail is already there, and your coding agent can read it too.

If you have ambitious AI plans, we can help.
Runtype meets you wherever you are, from a solo builder shipping their first real agent to a platform embedding agents for millions of users. Start opinionated, then scale as far as you need.
Launch your first agent with room to grow.
Describe the workflow, connect the tools, and ship a usable agent fast. Runtype gives you sensible defaults, guardrails, and a path to add logs, evals, and usage controls when the project takes off.
Start buildingTurn client ideas into working products.
Prototype in hours, share a real experience with the client, then graduate the same build into their cloud when it is ready. Usage tracking and guardrails are built in, so delivery stays manageable after launch.
Explore the partner programAdd agents your customers can use.
Embed white-labeled, multi-tenant agents into your product without building orchestration, monitoring, and model routing from scratch. Bring your own cloud and keys, and keep control of the customer experience.
See how platforms use RuntypeShip agents with the controls teams expect.
Standardize how agents are deployed, monitored, evaluated, and governed across teams. Runtype fits into your cloud, data, and compliance requirements, with partners available when you want implementation help.
Talk to us