Published
Unstructured signal does not scale as a research input
Most financial research workflows still pull from a pile of loosely related sources — filings, news, transcripts — and rely on a human or a general-purpose model to connect them at read time. That connection work happens over and over, differently, for every question asked.
An ontology moves that connection work upstream. Instead of re-deriving relationships between entities, events, and metrics each time, you encode them once in a structure, and every subsequent query inherits that structure instead of rebuilding it.
What olios is building toward
olios describes itself as an agentic, ontology-based financial intelligence platform: structured, queryable insight feeds meant to plug into research and decision workflows, rather than another feed of unstructured text to summarize on the fly.
The stated sequence is data subscription products today, with portfolio management and trading strategy execution as a later stage built on the same ontology foundation. That is a deliberate build order — structure the intelligence layer first, then extend into decisions that depend on it.
Where things stand
olios is pre-launch, with a public waitlist for early access. There is no live subscription product to evaluate yet, and the platform's own framing is explicit that portfolios and strategies are next, not now.
If ontology-grounded, queryable financial intelligence is a problem you are already circling, the waitlist is the way to track it as it ships.
Related: olios.io and Olios project overview.