So that both unstructured documents and structured data can be asked accurately, answered credibly and governed strictly
KnowFlow builds secure, efficient and verifiable AI data infrastructure for enterprises. We believe a conclusion is only worth acting on when its source, boundary and definition can all be inspected.
We do two things: make unstructured documents retrievable and deliverable without losing their structure, and make structured data answerable in plain language on top of a governed semantic layer. Both product lines share one permission model and one self-hosted deployment story.
KnowFlow: every answer holds up to scrutiny
We keep pushing on document understanding, retrieval augmentation and semantic layers, and turn the research into shippable product capability
We validate with your real documents, your real database and your real questions — never with generic demo data
Data stays in your environment, permissions run through the whole pipeline, and we would rather refuse than return a plausible-looking wrong answer
We build on open source, open our semantic layer and query engine, and work with partners to move the standards forward
Engineers from well-known internet companies with deep experience in AI, NLP, document understanding and distributed systems
Years in enterprise software, with a first-hand understanding of knowledge management and analytics pain points
A dedicated pre-sales and support team covering the full customer lifecycle
We stand on the shoulders of excellent open-source projects, and give our own work back to the community
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Whether you want to evaluate the product or explore a partnership, we would like to hear from you
Contact us