Offen per Vertrag

Deine KI läuft weiter, wenn ihre ausfällt.

Die vollständige KI-Workbench — Chat, Agenten, Sprache, Wissen, Bilder — die jedes Modell ausführt: von OpenAI und Anthropic bis zu Open-Weight-Modellen auf eigener Hardware. Starte gehostet mit einem Klick oder betreibe alles im eigenen AWS. Wenn ein Anbieter die Preise erhöht, deinen Key widerruft oder ein Modell einstellt, zuckst du nicht einmal.

  • ✓

    Modelle wechseln ohne Re-Architektur — kein Vendor dazwischen

  • ✓

    Wird ein Modell eingestellt, deprecated oder umbepreist, servierst du weiter

  • ✓

    Self-hoste es, und deine Daten verlassen nie dein AWS

Open Core

Betreibe alles selbst. Quellcode heute verfügbar unter BSL 1.1, echtes Apache-2.0 automatisch in zwei Jahren — die No-Rug-Pull-Klausel steht in der Lizenz selbst.

Enterprise durch Subtraktion

Sag uns, was du nicht brauchst — so bauen wir deine Plattform. Chat, Agenten, Sprache, CLI, RAG, Kollaboration, Bilder — alles inklusive. Du entscheidest, was ausgeliefert wird.

Bike4Mind-KI-Plattform, deployt im AWS des Kunden
The neutral runtime

A lab can't be model-neutral.
A cloud can't be cloud-neutral.

We can be both — that's the whole point. Bike4Mind is the orchestration layer that treats every model as a commodity: frontier APIs when they're ahead, open-weight models on your own hardware when it matters that nobody can take them away.

The neutral runtime — one workbench, every modelA single workbench and API fan out through a model router to four frontier labs drawn as equal peers, and to a distinct self-hosted lane running open-weight models on your own hardware.Workbench + APIone pane · one callCLI · MCP · RESTModel routerroutes by taskswap mid-sessionFRONTIER APIS — PEERS, NONE PRIVILEGEDAnthropicOpenAIGoogleAWS BedrockYOUR HARDWARE — NO LAB CAN SELL THISvLLMQwen · Llama — open-weight, in your VPC60+ models

One workbench, one API call. The frontier labs are interchangeable peers — the self-hosted lane is the one thing no lab or cloud can ever take away.

Every frontier model, one workbench

OpenAI, Anthropic, Google, and AWS Bedrock behind a single interface. No lab will ever route you to its rival's better answer. We will.

Open-weight on your own iron

Qwen, Llama, DeepSeek — self-hosted via vLLM, on hardware you control. The one lane no lab can sell you and no directive can switch off.

Swap mid-conversation

Your sessions, prompts, artifacts, and data lakes don't care whose model answered. When a provider gates its best tier or reprices overnight, you change one dropdown — not your architecture.

One Pane of Glass

Notebooks, agents, artifacts, images, data lakes — the whole workbench, one login, any model. The pieces you'd otherwise cobble together, already speaking to each other.

Artifacts — 13 Types

Live React components, in-browser Python, Mermaid, charts, even chess boards — versioned like code, Claude-Artifacts-compatible, and rendered in a locked-down sandbox on your machine.

Agents & Quests

Long-running agentic jobs with real tools — code REPL, search, MCP — under hard budget guards. Fire a quest, come back to finished work.

Any Model, One Key

One key, one bill, 60+ models. Switch mid-conversation and keep the thread.

Open-Weight on Your Iron

Self-host Qwen, Llama, or DeepSeek via vLLM for complete privacy and control — the lane no frontier lab will ever sell you.

Data Lakes & Knowledge

DOCX, PDF, images, code files, and more — vectorized, searchable, and retrieved into any session with advanced RAG.

Multiplayer Notebooks

Shared sessions and team workspaces — collaborate inside the same conversation, not around it. Enterprise SSO and role-based permissions included.

No login · no server · runs on your machine

Don't take our word for it. Run it.

Two live artifacts, right here on this page: real Python executing via WebAssembly, and a real React component transpiled and rendered in a locked-down sandbox. In the product these are two of thirteen artifact types — Claude-Artifacts-compatible, versioned like code, and executed on your machine, never on our servers. Edit either one and run it again. This page never phones home.

artifact type: python — a tiny language model, trained live
shakespeare.py
Ausgabe
Drück Ausführen. Der erste Lauf lädt die Python-Runtime einmal (~6 MB von einem öffentlichen CDN), danach ist es sofort.
Dein Code und die Ausgabe bleiben auf dieser Seite — sie werden nie an einen Server geschickt.
Läuft mit Pyodide (CPython, kompiliert zu WebAssembly). Dieselbe modell-agnostische Läuft-wo-deine-Daten-sind-Philosophie trägt die ganze Plattform.
artifact type: react — a live component, transpiled in your browser
No login · no server · runs on your machine

Now do the same thing with React.

This is a real React component, transpiled by Babel and rendered live in your browser — inside a sandboxed, opaque-origin iframe that cannot phone home. It's the same artifact sandbox that ships inside Bike4Mind. Edit the loot table, press Run, and roll.

loot-drop.jsx
previewruns on your machine · no server
Powered by Babel + React UMD — the same sandbox pattern (opaque origin, no network) our artifact system uses.

How the sandbox works: artifacts render in an opaque-origin iframe (sandbox="allow-scripts", never allow-same-origin) with connect-src 'none' — artifact code can render anything and exfiltrate nothing. When the repository opens, read the sandbox source yourself.

A Guild of Raiders, Not a Lobby of AFK Players

We spent three years invite-only, building for paying customers with zero ad spend — bootstrapped, profitable, shipping weekly. Now the doors are open. Same guild, same standards, room for you.

Doors Open

Three years invite-only, built for paying customers. Now the invite wall is down and the source is opening. Walk in, read the code, fork it if we ever disappoint you.

Bootstrapped & Profitable

No investor pressure to grow vanity metrics. Every dollar goes into features our customers actually need and use. Three years in production.

Builders, Human & Agent

Serious builders — people and agents — and the entrepreneurs and enterprises who value excellence. Agents are first-class citizens here.

Honest Credits

Pricing that maps to real compute. Subscription credits roll over for 90 days. No bait-and-switch. No feature gates.

A note from the founder

"I've been shipping software for thirty years — from Starfleet Command to FarmVille, MMOs to virtual worlds. I'm not a frontier-lab insider. I'm a builder who watched the leverage of AI concentrate into a handful of companies and decided a counterweight had to exist. Bike4Mind is that bet: strong AI and agentic systems, open by contract, for everyone. Fork it. Build on it. Prove us honest."

— Erik Bethke, founder

Professional AI Workspace

Every answer is inspectable. Prompt Metadata traces each request from the moment you send it to the first model response, stage by stage.

The Prompt Metadata panel's Status Log tab timing one request: 146 ms to reach the backend, preparation stages of a few milliseconds each, 2.2 s waiting on the first model response, and 2.6 s elapsed in total.
Prompt Metadata, Status Log tab: where each second of a response went.