About
Aspected — retrieval infrastructure for enterprise AI.
Enterprise AI keeps returning answers that sound right but aren't: the superseded policy, the draft instead of the approved version, the ticket that only seems urgent. The cause sits underneath almost every RAG system. Conventional vector databases are excellent at finding similar text — but similarity is blind to metadata like recency, authority and permission, so the genuinely correct answer slips through the gap.
Aspected closes it. We're a new kind of database: a patented single-vector, multi-aspect index (US 12,517,879) that fuses meaning and metadata into one ranked pass. Instead of asking "what text looks similar?", Aspected asks "what knowledge is correct in this context?" — ranking on correctness, with governance and authority built in, entirely within your own tenant.
The result is more accurate AI, a simpler retrieval stack, and lower cost. Aspected is live in production at AGFA, with independent validation underway with TNO.
AI/Robotics
Machine Learning/Deep LearningNatural Language ProcessingAi and Data analyticsConversational AI (virtual Assistants & Chatbots)Generative AI
Cloud Computing, Data, IoT
Data management and storageSoftware as a Service (SaaS)System integrators