Platform
From infrastructure to business interfaces.
Five layers to build, deploy and operate critical AI processes 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
Chapter 2
Nexa Code
An algorithm seed and reusable libraries. Quality rules and production checks are set at design time.
- Algorithm seed to accelerate a new process
- Reusable libraries and components
- Tests, dry-run and blocking checks
- Reproducible staging → production promotion
Nexa Code: importing an algorithm seed and running a process locally
Chapter 3
Nexa Pipeline
The visual canvas where business and IT design the process : processes, interfaces, sequences : before industrialising it.
- Visual process design
- A shared canvas for business and IT
- Configurable interfaces and workflows
- Move to code without rebuilding
Nexa Pipeline canvas: visual design of a process
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.