Ontolith
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Industries · Capital markets

Millisecond intelligence for capital markets.

Trading desks, asset managers, and market infrastructure run agent workloads where latency, confidentiality, and auditability all bind at once. Small specialized models in your own data center beat API round-trips on every axis that matters to the desk.

The value

What the numbers look like.

10–50×

Lower cost per document than frontier-API processing

10×

Lower latency than frontier API round-trips, models sit next to your systems

99.5%

Schema-valid outputs your downstream systems can trust

100%

Of activity inside your perimeter, with signed lineage for audit

Representative targets from pilot scoping. Every evaluation sandbox defines success criteria against your own baseline before anything is deployed.

Where we start

The workflows we convert first.

The wedge is always one high-volume workflow, converted to an owned model with success criteria agreed up front.

Trade confirmation & settlement ops

Parsing confirmations, resolving breaks, and producing structured exceptions from unstructured counterparty messages, at post-trade volume.

Research & filings into structured data

Turning research notes, filings, and transcripts into schema-validated data your systems consume directly, no scraping layer, no hallucinated fields.

Client onboarding & suitability

Document-driven onboarding with policy checks grounded in your ontology: who may hold what, under which mandate, in which jurisdiction.

Surveillance alert triage

First-pass review of trade and comms surveillance alerts with confidence scores, cutting the queue before compliance sees it.

What you get

Beyond the pilot.

Confidentiality by construction

Positions, strategies, and client data never leave your infrastructure. There is no third-party API in the path to leak through.

Deterministic integration

Constrained decoding means outputs always match your schemas, so models plug into OMS, EMS, and compliance systems like any other service.

A desk-grade latency profile

On-prem 3–7B models answer in the time an API call spends in TLS handshakes. Latency budgets stop being the blocker.

Evaluation sandbox

Put a model where your systems live.

The sandbox benchmarks an owned model against your current stack on latency, validity, and cost, on your own traffic.