Quality management built for the AI era
QIS exists because quality management software hasn't kept up with how teams actually work. It's still expensive, complex, and generic. We're fixing that.
The problem
Food manufacturers, ISO-certified companies, and BRC-accredited producers spend thousands of hours writing procedures, preparing for audits, and training staff — much of it manually.
The tools that exist are either expensive enterprise platforms designed for pharma giants, or basic checklists that don't scale. There's almost nothing in the middle — for the quality manager at a 50-person food manufacturer who needs a real system, not a spreadsheet.
Our approach
QIS is built around a single insight: your quality standard already contains the blueprint for your quality system. Every clause defines obligations, risks, audit requirements, training needs, and KPIs.
The intelligence layer reads your standard and materialises that blueprint into a working QMS — configured for your specific processes, not generic templates.
What makes QIS different
Built AI-first, not AI-retrofitted
Most QMS platforms were built in the 2000s and are adding AI on top. QIS was designed from the ground up around AI generation — the intelligence layer is the core, not a feature.
Standards drive everything
Upload your standard once, and QIS configures your documents, workflows, training, risk matrices, and KPIs from it. Nothing is hardcoded — everything flows from your standard.
Your context, not generic templates
Company DNA makes QIS's AI understand your specific business. Generated procedures reflect your products, processes, and terminology — not boilerplate text.
Accessible to mid-market teams
Enterprise QMS platforms cost $50K–$600K/year and require implementation projects. QIS is designed for the quality teams who can't afford that — or don't want the overhead.