How Nova Works

Most AI chatbots respond from whatever they absorbed during training — which means they can sound authoritative while being wrong. Nova is architected differently: before generating a single word, it retrieves from Alle’s ClinX’s proprietary product documents and website content, and constructs its answer from that material. It is an open-book response, never a guess.

Nova doesn’t rely on exact keyword matching. It interprets the meaning behind your question, so “how do I clean stainless steel counters” can surface a document titled “surface disinfectant usage guidelines” — even where no words match exactly.

At the outset of every conversation, Nova asks for your name and role — “Housekeeping Supervisor,” “Procurement Manager,” and so on — and uses that context to shape its response. A housekeeper receives simple, safety-first steps; a manager asking the identical question receives a business-relevant briefing. The same underlying knowledge, delivered with precision for the audience.

For quantitative outputs like dilution ratios, Nova does not ask the model to approximate the figures — AI models, much like people performing mental arithmetic, are prone to small errors. Instead, the exact ratio is drawn from the product’s documentation and the calculation is executed precisely in code. Nova then presents the result in clear, plain language.

Every response Nova produces is scored against how well it is actually supported by our documentation. Where confidence is low, Nova says so candidly rather than bluffing — and internally, that query is flagged for our team to review and to strengthen our documentation over time.

Beneath most answers, Nova identifies the specific document(s) it drew from — so your team can verify the original SDS, TDS, or policy directly whenever full detail is required.

Every conversation sharpens our understanding of what your teams ask most, and where our documentation can be clearer. Nova becomes more precise as we expand its knowledge base and refine its underlying corpus.