Pillar 01 · Platform
From infrastructure to business interfaces.
Five layers to build, deploy and operate critical AI rituals in production — inside your infrastructure, under your rules.
Engines change. Control remains.
AI engines are replaceable by design; the control system — steering, evidence, expert validation, memory — endures. That is what makes the architecture reversible.
Chapter 1
Infrastructure
NEXA deploys where your data is allowed to live. Not the other way round.
- On-premise deployment
- Multi-cloud compatibility
- Integration with existing infrastructure
- Security and environment isolation
- Data residency configurable per project
Product visual coming soon
Chapter 2
Nexa Code
The development teams’ environment, where quality rules and production constraints are set at design time.
- Reusable libraries and components
- Faster development of a new ritual
- A common core to industrialise instead of rewriting
- Custom features and rituals
Product visual coming soon
Chapter 3
Nexa Pipeline
The CI/CD chain that tests AI features across several environments before production. Checks are blocking.
- Multi-environment management
- Automated promotion to production
- Deployment and updates
- Pre-production checks: dry-run, column contract, integrity hash
- Reproducible, reliable executions
Product visual coming soon
Chapter 4
Nexa Studio
Where business experiences are created. One core, a very wide range of interfaces.
- Dashboards and data visualisation
- Frames and business interfaces
- Governed conversational agents
- Search engines
- Document generation
- Interfaces for experts to control, validate and use results
Chapter 5
Connectors and interoperability
A core that only sees its own executions governs nothing. The SDK and connectors plug in the rest of your IT estate.
- Data sources and warehouses
- Enterprise applications
- AI models and providers
- Catalogue of available connectors
- Instrumentation SDK for in-house algorithms
See the core at work.
A demo on your own documents, in your context — not on a demo dataset.