Essentials

We deliver decisioning/scoring solutions, consulting, and enablement across regulated environments (ISAD states).

We work with both existing and new systems. 

Most clients start with an overlay deployment to accelerate impact without disruption, then expand to greenfield components where business needs require.

ISAD is integrated at the “decision boundary,” ingesting upstream outputs and returning improved scores, reasons, and routing outcomes via standard interfaces.

We support batch for periodic scoring and real-time for low-latency routing selected based on your operational SLAs and risk appetite.

e.g., SAS, NICE Actimize, Oracle, FICO and modern data stacks through APIs, exports, and event streams 

ISAD works across financial services, fintech, energy, telecom, government/public sector, healthcare, and large enterprises (ISAD states).

Deployments can be designed to minimize data movement and align with client security controls, including access control, encryption, and audit logging. Data residency and retention requirements are handled per client policy.

ISAD supports governance-aligned delivery mapped to the EU AI Act’s risk-based expectations, ISO/IEC 42001 AI management system practices, and NIST AI RMF lifecycle functions.

The platform provides explainability outputs (reason codes / key drivers) and traceable decision records suitable for audit and review.

The core objective of our solutions is higher signal quality through hybrid AI and multi-parameter scoring, measured against your baseline outcomes and investigation workload.

Models are monitored for performance, drift, threshold stability, and version changes, with governance checkpoints to prevent silent degradation in production.

ISAD Labs is ISAD’s applied research and engineering environment where doctoral/postdoctoral research and senior delivery experience translate into deployable products and client solutions.

We align innovation work with EuroHPC’s AI Factory model for AI-focused supercomputing and ecosystem enablement. 

As support models and SLAs are defined per engagement (hours, response targets, governance cadence), the next step is a consultation to confirm scope, deployment path, and a fast proof-of-value plan.