Built. Governed. Ready for production. CollAIborate designs, builds and deploys AI platforms, intelligent applications and biomedical foundation models — with policy, audit and human review wired in from day one, not bolted on after launch.
Most AI projects don't fail at the model. They fail at the questions nobody asked before shipping it. Answer these honestly first.
Most teams find out from a complaint, not a dashboard. Without a policy engine watching every decision, "wrong" is something you discover after the fact.
"The model said so" isn't an answer anyone accepts anymore — least of all in healthcare, finance, insurance or government.
A demo that impresses a room is not the same as a system your compliance team will let near production data.
Fragmented AI adoption creates fragmented accountability — and that's exactly where risk hides.
If any of that sounds familiar, you don't have an AI problem. You have a governance gap — and that's precisely what CollAIborate was built to close.
Everything below is running in production today — not a roadmap slide. We use these platforms ourselves before we ever put them in front of a client.
A policy-driven governance engine — rule designer, framework controls, human approvals, warn/block enforcement and full audit trails for every AI decision in production.
One app, many models. Chat, prompt library and knowledge search across multiple AI models, available on mobile.
The Contact Doctor BioMedical LLM family — multimodal clinical models serving text, image and document reasoning through a governed inference backend.
This is the same reference architecture behind CDAI — every request from an application, through an agent and a model, is checked by the governance layer before it ever touches your data.
Every layer a client needs to take AI from idea to regulated production — and every layer we actually staff ourselves.
Engage us for one service or the whole lifecycle — each connects directly into the platforms above.
We identify where AI actually moves the needle, define a realistic roadmap, and help you execute enterprise AI transformation without the hype.
Predictive analytics, computer vision, NLP, recommendation systems and forecasting, built on production-grade pipelines.
Copilots, knowledge assistants, document intelligence and workflow automation that fit inside your existing systems.
Enterprise portals, customer-facing platforms and cross-platform mobile apps — the delivery layer for everything above.
Medical LLMs, vision-language models, clinical NLP and medical image analysis, grounded in real clinical workflow experience.
Policy-driven controls, audit trails, human-in-the-loop review and compliance — our own CDAI platform, available to you.
Most AI companies stop at the model. Very few can show you a working policy engine, an audit trail and a human-approval flow running in production — because they built one, for themselves, first.
Multi-tenant isolation, org-level controls and role-based access designed in from the start, not retrofitted.
Our own governance and inference platforms run in production daily — we feel every edge case before you do.
Built on real clinical AI experience — dental imaging, clinical chat, biomedical LLMs — where getting it wrong isn't an option.
CDAI, CollAIborator and the Biomedical LLM family are ours — you get a product roadmap, not just a one-off build.
Policy engine, audit trail and human-in-the-loop review you can adopt directly instead of building from zero.
Deploy on public cloud or fully on-prem — including regulated, air-gapped environments — with the same governance layer.
The same engineering team building client work also drives the research behind our own products.
Multimodal clinical reasoning across text, imaging and documents.
Joint image-and-text reasoning for medical and enterprise documents.
DAG-based multi-agent orchestration with human checkpoints.
Policy engines, audit trails and governance patterns that generalise across industries.
Grounding model outputs in your own knowledge, not just training data.
Adapting foundation models to domain-specific, high-stakes tasks.
Clinical decision support, imaging, documentation.
Research acceleration, literature synthesis.
Drug discovery support, regulatory documentation.
Claims automation, risk & document intelligence.
Predictive maintenance, quality inspection.
Personalization, forecasting, support automation.
Adaptive tutoring, content & assessment tools.
Citizen services, document processing, governance.
Tell us where you are today. We'll tell you honestly what it takes to get to production — and stay defensible once you're there.
