Building the path to AGI through human augmentation
Monostate is building the complete AI platform that makes machine learning accessible to everyone. We see auto-training and workflow orchestration as essential steps toward stateful machines and ultimately AGI.
We believe AGI won't emerge from bigger models, but from personal tools for human augmentation. When every person can train their own models, orchestrate workflows, and build AI systems without code, we unlock collective intelligence. Our platform is the first step: democratizing AI creation.
Our platform enables anyone to find data, train models, and deploy workflows in minutes. No ML expertise required. This isn't just about making AI easier - it's about fundamentally changing who can create AI and what they can build.
Our research continues on stateful architectures that remember and learn from every interaction. We're exploring entropy-based learning, control theory, and runtime architecture modification. But the key insight: AGI needs millions of diverse, specialized models working together - not one giant model trying to do everything.
Our no-code training system lets anyone create specialized models in minutes. Just describe what you need in plain English. The platform handles data discovery, model selection, training, and deployment. This is human augmentation at scale.
Complex AI systems require multiple models working together. Our visual workflow builder lets you connect models like LEGO blocks. Drag, drop, deploy. This is how we move from single models to intelligent systems.
We've built agents that search millions of datasets across the internet, automatically normalize schemas, and prepare data for training. The world's knowledge becomes your training data.
"The best way to predict the future is to invent it. The best way to invent it is to give everyone the tools to build it themselves."
We're not just building another AI platform. We're creating the foundation for personal AI - where every individual and organization can train, own, and control their own intelligent systems. This is the path to AGI: not one massive model, but millions of specialized, personal models that augment human capability.
