Neuroine

AI built into the modeling workflow

Neuroine’s embedded agent helps teams create interfaces and dashboards, investigate errors and analyze simulations. Its actions are traced and require human validation before changes are applied.

The modeling challenge

Slow execution, opaque code, vendor dependence and disconnected environments make models harder to develop, run and review. Teams need more computing power without losing ownership or control.

An open platform built for GPUs

- Ownership. Develop in Python or R while retaining control of models and data.

- Performance. Compile and parallelize code for GPUs without changing its syntax. Sia reports performance improvements of up to 15 times in deployed use cases.

- Governance. Combine versioning, permissions, collaboration and auditability across development, testing and production.

From models to results

Teams bring their existing models, data and assumptions into a collaborative environment. GPU optimization accelerates execution, while versioning and governance support reproducibility and review.

Proven use cases

Sia reports more than 200 users and over 10 enterprise clients. Applications include asset-liability management, Solvency II, IFRS 17, XVA, stress testing, reinsurance and catastrophe modeling.

Why now

Growing computational needs, governance requirements and demand for open-language skills are changing how financial institutions approach modeling. Neuroine brings these needs together in one platform.