Products / Arcumo Labs

We build the technology too.

Arcumo does not only advise on emerging technology. Arcumo Labs is where our research becomes product — and where we prove an approach before we ever recommend it.

TradeviaIQ

Arcumo Labs

AI-assisted market intelligence and trading analytics.

Market research is a document problem as much as a data problem. TradeviaIQ combines retrieval over filings and source material with quantitative screening and explainable scoring, so the reasoning behind a result stays visible instead of collapsing into a single number.

It is built on the same architecture we bring to client systems: grounded retrieval, evaluated outputs, provenance kept attached to every claim.

Illustrative interface. Representative of composite model output.

Modules

IQ Scanner Continuous screening across instruments and conditions you define, so opportunities surface without a manual sweep. Criteria are explicit and editable, not hidden inside a black box.
IQ Score A composite score that exposes its own components. Every score can be opened to see which signals moved it and by how much — explainability is a first-class feature, not a report.
Contract IQ Document and filing analysis that turns unstructured source material into structured, searchable intelligence, with each extracted fact linked back to its passage.
Trade Journal Decision capture with the reasoning attached, so activity becomes a reviewable feedback loop rather than an undocumented history.
Market Intelligence Synthesis across sources into a coherent view, with provenance preserved so any conclusion can be traced to what produced it.

TradeviaIQ™ is a product of Arcumo LLC. It is an analytics and research tool. It does not provide investment, financial, legal or tax advice, and nothing it produces should be treated as a recommendation to buy or sell any security.

Arcumo Labs

A product line, not a portfolio page.

Labs exists so we stay on the building side of emerging technology. Each product starts as an internal experiment, and the ones that hold up become supported products.

Research

Techniques we want to understand properly get built, not just read about. Most of what we learn is published in Insights.

Product

Experiments that prove out get real engineering — reliability, evaluation, support and a roadmap.

Practice

What we learn operating our own products is what we bring to client systems. The transfer runs in both directions.

More products are in development. If you would like to hear when the next one launches — or you are exploring building an AI product of your own — get in touch.

Building an AI product of your own?

We do this work for ourselves. We also do it for teams commercializing their own AI capability.