All 5 engines are OEM / white-label ready
Fintechs and banks can embed institutional-grade quant capabilities without building from scratch.
Institutional-grade quant engines for your platform
Embed DFA's math engines via API. No need to build factor models, optimisers, or ML pipelines from scratch — we've already done it.
Quantitative & AI Engines — the maths layer of NEXT
Quantitative Engines implement the predictive and quantitative layers of the NEXT Framework.
Narrative-aware
Reads unstructured signals — filings, news, transcripts, macro context — and turns them into model-ready inputs.
In this product: Consume narrative-derived features as first-class inputs alongside market data.
Explainable
Every output ships with evidence chains, attributions, and a plain-language rationale you can defend.
In this product: Factor attributions, model decompositions, and rationale exposed by default.
eXecution-ready
Delivered through APIs and apps that plug into existing OMS, EMS, risk, and reporting systems.
In this product: Outputs delivered as signals, risk metrics, and portfolio actions via API.
Trusted
Versioning, approval gates, MRM documentation, and audit trails are built in — not bolted on.
In this product: Challenger models, drift monitors, and validation cadence built into the lifecycle.