Offline AI for regulated manufacturing. Every answer verifiable, grounded, and auditable. No cloud required.
Runs on a single workstation GPU with no internet connection. Proprietary formulas, batch records, and SOPs never leave the building.
Context is constructed before the model runs, not retrieved probabilistically. The same question against the same knowledge base builds the same context every time.
Every response is grounded in locally controlled knowledge sources and logged with structured telemetry. You can always see where an answer came from.
Same question + same knowledge base = same context, every time. That's what makes an answer something you can audit instead of something you have to trust. Alfred is built for small and mid-size manufacturers in chemicals, dietary supplements, and cosmetics — regulated enough that answers must be traceable, small enough that no one else is building for them.
Alfred is built by someone who lived the problem. Before founding Sentira Labs, Paul repaired F-15 structures for the Air Force — where every repair was documented, stamped, and traceable — then co-founded a manufacturing company, co-invented its patent-pending core formulation, and ran production in a state-certified facility for three years. He was the customer before he was the founder.