Runtype

Meet your frontier
product platform.

Runtype is purpose-built to keep you ahead. Develop, optimize, and scale agentic products like a frontier lab.

The journey

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.

Jan

Kickoff. “It’s basically a wrapper around an LLM.” Roadmap fits on one slide.

Feb

Someone says “multi-tenancy.” Room goes quiet. Roadmap is now four slides.

Mar

Demo crushes it. Nobody mentions it’s a single prompt and a hardcoded user.

Apr

Discovering evals, prompt security, and model drift in the same week.

May

Realizing this is a platform. Realizing platforms take years. Not telling the steerco.

Jun

“We’re calling it a soft launch.”

Or ship withRuntype
Why it’s hard

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.

Why Runtype

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.

Works with

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.

Any model
OpenAI
Anthropic
Gemini
xAI
Llama
Mistral
DeepSeek
Cohere
NVIDIA

Qwen, Kimi, GLM, AWS Bedrock, Together AI, and 100+ more, via platform keys, your own, or any OpenAI-compatible API

Connect & ship
Slack
Discord
Telegram
iMessage
GitHub
Linear
Google Workspace
Email
ElevenLabs
Daytona

SMS, Exa, Firecrawl, Granola, custom MCP servers, and any MCP client (Claude, ChatGPT, Cursor)

Run on
Cloudflare
AWS
Google Cloud
Vercel

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.

Inside the platform

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.

Runtype product canvas: five capabilities (two agents and three flows) wired to five fully configured surfaces, with the web chat surface open in an edit panel on its Orchestration tab showing single-orchestrator message handling

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.

Runtype agent editor: a support copilot with a full operating-procedure system prompt, Claude Sonnet 4.6 as the engine, tool approval and max tool calls under Safety, a multi-turn agent loop with cost budget, and a tools bar with five active tools including two bound flows

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.

Runtype flow editor: a five-step support ticket triage flow with an HTTP fetch step using a templated URL and a classify step on Claude Haiku 4.5 with template variables for the ticket and account plan

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.

Runtype evals view: comparison groups where the same flow ran on three model variants, each completing 10 of 10 steps with per-variant durations

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.

Runtype logs view: search, INFO, WARN, and ERROR level filters with counts, a volume histogram, and per-step execution entries including a failed flow execution and failed steps highlighted in amber and red
Who ships with Runtype

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.

Builders & operators

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 building
Agencies & consultancies

Turn 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 program
Software platforms

Add 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 Runtype
Enterprise

Ship 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

Make it real.

Free to start, scales as you do.