Rainwater Labs is an artificial intelligence research and foundation model company.
AI engineering is currently outpacing AI science. We are scaling frontier models faster than we understand their underlying mechanics, leaving deep vulnerabilities unresolved.
Because core training remains centralized, organizations are locked into dangerous platform dependencies rather than owning their intelligence. Worse, these massive systems are structurally rigid. Despite their raw power, they are notoriously difficult to air-gap, deeply customize, or force into alignment with strict, specialized compliance protocols.
Rainwater Labs exists to engineer foundational architectures designed to be fundamentally understood, precisely customizable, and highly capable in secure environments. We are a lean team of scientists, engineers, and builders who have spent decades pioneering deep-tech platforms, scaling complex infrastructure, and filing core architectural patents. We like to take on the hardest technical challenges because solving them at the foundation unlocks progress for the many.
Most AI hands students the answer. DEW doesn't. Grounded in the Socratic method, it guides children to discover answers through their own reasoning — asking structured, sequential questions until a concept genuinely clicks. It's free, open-source, and built as a public good rather than a commercial product.
How it works
Speaks a child's language
Pre-trained on billions of educational tokens — K-12 textbooks, curriculum guides, and public-domain literature — so its vocabulary and pacing fit the student, not a corporate user.
Teaches, doesn't answer
The Socratic method is baked into the model's weights. For students under 16, DEW refuses to dump finished answers — it asks guiding questions instead.
Safe at the weight level
A runtime guardrail clamps unsafe topics out of existence — the model is physically incapable of expressing them. No fragile prompt filters to jailbreak.
Training pipeline
Initializes from a clean 3B baseline, then deep-trains on billions of educational tokens — K-12 textbooks, peer-reviewed curriculum guides, and public-domain literature — shifting the core language structure to age-appropriate vocabulary.
Locks in the Socratic process over thousands of "chosen vs. rejected" pairs — chosen: multi-turn guiding inquiries, contextual hints, conceptual milestones; rejected: direct answers, final sums, passive essay generation.
A custom runtime LogitsProcessor identifies forbidden conceptual classes and clamps their generation probability to −∞ — bypassing brittle system-text blocks entirely.
Deployment
Runs at ultra-low latency on standard IT-lab desktops, Chromebook servers, tablets, or offline classroom networks via vLLM / Ollama — no hardware upgrades required.
Local-first pipeline. Inputs are sanitized of PII (names, phone numbers) before inference — zero student metadata leaks to third-party corporate entities.
DEW: Reclaiming Classroom Thinking in the AI Era
Our mission brief and technical architecture — how the Socratic method is built into the model's weights, the logits-level guardrails that keep it safe, and why we ground all of it in Responsible AI.
Read the paper ↗It will be free forever
A child's mind should never be a business model. We intend to keep DEW free, forever — never gated behind a paywall, never sold. Our code, datasets, and methods stay open, always, under Apache 2.0, so anyone can inspect, host, and improve it.
This is how we deliver on our purpose of Responsible AI: not as a compliance exercise, but as the engineering philosophy that guides every model we build.
Is DEW really free?+
What ages is DEW built for?+
Can we run DEW on our own infrastructure?+
Is it open-source? What's the licence?+
How does DEW keep student data private?+
We are open to partner
DEW is free and open-source. We grow it through partners who share the mission.
Bring DEW to your school
Roll it out for your students and teachers — we'll help you set it up.
Support through CSR funds
Fund free, responsible AI education at scale through your CSR programme.
Help with research
Collaborate on the model, studies, and safety work behind DEW.