Biomedical LLM
Clinical text reasoning & question answering.
We eat what we cook. CDAI governs our own AI. CollAIborator is the app we use to test new models. The Biomedical LLM family serves our own clinical AI work before it ever reaches a client.
CDAI (Contact Doctor AI) is our clinical AI orchestration platform, built around a multi-layered governance rule engine that answers one question for every AI decision in an enterprise: was this allowed, and can you prove it? Policy fields, framework controls and rule types bind directly to live business signals, with platform-level and org-level rules enforced through warn or block actions — and every decision written to an immutable audit trail.
CollAIborator is our multi-model playground — one interface to chat, search knowledge and reuse prompts across different AI models, wrapped in a mobile app so it travels with you. It's also the front door to the specialised assistants in our app family below.
The Contact Doctor BioMedical LLM family runs on our own vLLM-based inference infrastructure, serving a multimodal clinical model across text, image and document reasoning. Every request is routed through a governed backend agent layer — never called browser-direct — so the same policy and audit controls that protect CDAI apply here too.
Clinical text reasoning & question answering.
Vision-language reasoning over medical images.
Retrieval over clinical knowledge with FAISS.
Structured extraction from clinical documents.
Decision-support workflows for care teams.
Text, image, ECG and research-paper inputs.
A family of consumer-facing assistants built on the same underlying platform — proof that our infrastructure holds up outside the enterprise, too.
We'll show you the actual product — rule engine, audit trail and all.