Search
Combine keyword, semantic, and metadata search with grounded answers across massive enterprise corpora.
Your business data platform
Designed for data that is multimodal.
We help startups and enterprises clean, structure, validate, and govern PDFs, screenshots, videos, logs, and emails so AI systems run on reliable context instead of entropy.
Combine keyword, semantic, and metadata search with grounded answers across massive enterprise corpora.
Ingest files from silos with policy controls, lineage tracking, and audit-ready access boundaries.
Trigger alerts, route findings, and embed retrieval into internal tools through reliable production APIs.
PB-Scale
Enterprise unstructured data infrastructure
<250 ms
Grounded retrieval response latency
50K+
Connected data sources across core systems
We are Stanford and TUM researchers building data infrastructure for AI-native companies. Enterprise teams run on documents, media, logs, and messages that are scattered across systems and difficult to trust. Fermisense turns that fragmented data into a single, governed context layer for AI and human decision-making.
We continuously structure incoming data, resolve conflicts across sources, and keep knowledge fresh so production workflows in compliance, operations, procurement, legal, and support stay accurate at scale.