Fermisense / Data Intelligence Platform
Built for hedge funds.
Fermisense converts filings, memos, claim files, and unstructured records into a single, source-linked context layer. Every answer is grounded in the documents it came from, so research, risk, and operations teams can move faster without losing rigor.
Built and used by people from research labs and operating companies that work with complex data every day.
Capabilities
Most of an organization's knowledge lives outside the warehouse. Fermisense unifies that surface area, then exposes it through retrieval, ingestion, and workflow APIs you can ship to production.
Hybrid keyword, semantic, and metadata search across the full document estate. Every answer carries citations back to the exact passage, page, and revision.
Bring data in from email, drives, ticketing, CRMs, and bespoke systems with policy controls, access boundaries, and full lineage. Stays current as the source-of-truth changes.
Plug verified findings into the tools your team already lives in. Trigger reviews, route alerts, and embed retrieval into internal apps through stable production APIs.
Where it runs
Fermisense is deployed across regulated and high-precision domains. The product stays the same; the workflows on top of it change.
Hedge funds, insurance carriers, and private equity teams use Fermisense to compress diligence cycles, monitor risk language, and keep compliance evidence trail-ready.
Read more 02Counsel and legal operations teams centralize contracts, case files, and correspondence into a single retrieval layer with provable citations on every answer.
Read more 03Capture every tender artifact, track amendment deltas, and surface deadlines and mandatory terms automatically, so bid teams never miss a buried change.
Read more 04Programs unify engineering notes, mission documentation, and supplier files with strong lineage, so analysts move from question to verified source in seconds.
Read moreBy the numbers
The platform was engineered for the volume, latency, and integration footprint that real enterprise work demands.
PB-scale
Unstructured-data infrastructure tested across petabyte-class corpora.
<250 ms
Median grounded-retrieval response time on production workloads.
50,000+
Connector configurations across CRMs, drives, ticketing, and bespoke systems.
Fermisense was started by researchers and engineers from Stanford and TUM who kept watching the same problem repeat itself. The decisions that move enterprises run on documents, conversations, and media that were never designed to be queried together. Investment memos, regulatory filings, claim files, and email threads sit in different systems with different rules.
We built a context layer for that surface area. It continuously ingests, structures, and reconciles incoming data, resolves conflicts across sources, and keeps knowledge fresh, so production workflows in research, compliance, underwriting, and operations stay accurate at scale.
The aim is simple. Less time spent assembling context. More time spent acting on it, with answers that hold up to scrutiny.
See Fermisense on a real workload from your team. We will run a working session with your data and show grounded answers, citations, and how the platform plugs into your existing tools.