Deploy AI on your critical processes.
Prove every decision and govern critical processes at organisation scale.
The platform orchestrates models, data and your experts to take a critical process from demonstration to production.
They run their critical processes on NEXA
Your wish is our tech
AI Applications
Core-business critical processes ready to deploy and replicate across departments: document generation, information extraction, requirements matching, product-referential enrichment and financial analysis.
Audit Pack
Every run produces audit-ready evidence: cited sources, AI judge, expert validation, governed feedback and an exportable Audit Pack : traceability designed for DORA and the AI Act.
AI Governance Cockpit
A real-time view of the whole algorithmic estate : cost in euros, tokens, CO₂ footprint, usage, error rate and configured ROI : per critical process, team, model and provider. Including algorithms that are not ours.
AI Platform
The technical core that runs your critical processes: on-premise or multi-cloud infrastructure, environment isolation, model orchestration, cost / quality / latency arbitration and engine reversibility.
AI Studio
Where teams design, test and deploy a critical process: reusable libraries, a CI/CD chain with blocking checks, and generated business interfaces : consoles, search, document generation.
Customer stories
A central core, several departments
The first AI usages were not born on NEXA: third-party tools, experimentation environments. Functional, but not industrialisable : outside production, with no run owner, and a compliance frame to re-establish on every project. The decision was to take them over rather than rewrite them, and converge them onto a central core deployed inside the bank’s infrastructure.
Scaling
One core, several departments
Connectors, scheduler and interfaces are shared from one usage to the next: the marginal cost of a new usage goes down instead of repeating.
Security
SaaS comfort, in their environment
Deployed on the bank’s infrastructure, updated like a service. Enterprise SSO, rights per project and environment, secrets in a vault, least-privilege connectors. Data does not leave.
FinOps
One governed key per usage
Model, latency, tokens and cost report to the Cockpit. FinOps tracking is a condition for going to production, not an after-the-fact report.
+20
industrialised AI projects
10 days
average industrialisation time
+90%
user satisfaction
The core held centrally, to multiply
GGVIE chose to position NEXA as a central core rather than one team’s tool. Actuarial, asset management and management control industrialise their processes on the same base : each department starts on the previous one’s gains.
Organisation
A core held centrally
One team carries the platform, the run and the frame. Business departments bring their processes, not their architecture.
Multiplication
Three departments, three processes
Actuarial, asset management and management control. Connectors, output formats and checks are reused from one process to the next.
Control
The same evidence chain everywhere
Same thresholds, same validation roles, same Audit Pack : whichever department operates the process.
3
business departments on the same core
3
reporting processes in production
Put a critical ritual into production.
Critical rituals
A ritual your teams already run goes into production. Not one more AI project.
Transparency
Every assertion cites its source. When evidence is missing, validation blocks.
Transparency
A six-month-old run replays in front of an auditor, delta displayed.
Governance
Cost in euros, tokens, CO₂ and error rate : per ritual, department, provider.
Governance
Including the algorithms that aren’t ours.
Platform
Engines change. Control remains.