Enterprise AI platform
Rayon is Niadad's enterprise AI platform that serves models, RAG pipelines, LLM orchestration, MLOps and an agent runtime.
- Intelligence
- Niadad
- In development
Problem
Organisations build AI as scattered, experimental projects, and every team assembles its own infrastructure from scratch. Connecting models to internal data, controlling access and monitoring answer quality in production stays hard, and the work never reaches operations.
Platform overview
Rayon is Niadad's AI layer: it hosts language and machine-learning models, connects them to organisational knowledge through RAG and manages the runtime for agents. Teams focus on the use case rather than rebuilding infrastructure, and every model and flow is exposed with audit and usage metering.
Key capabilities
Model serving
Hosts and versions language and machine-learning models behind one consistent API.
RAG and organisational knowledge
Indexes internal documents and data so answers are grounded in the organisation's own sources.
LLM orchestration
Defines chains of prompts, tools and models as managed, observable flows.
MLOps
Puts training, evaluation, deployment and monitoring of models into one repeatable cycle.
Agent runtime
Runs agents with defined tools, memory and access boundaries.
Governance and observability
Usage metering, audit trails and content guardrails keep AI use under control.
Architecture
Model serving layer with versioning
Vector store and retrieval pipeline
Flow and tool orchestration engine
Agent runtime with memory and tools
MLOps pipeline: training, evaluation, deployment
Guardrails, audit and usage metering
Integrations
Use cases
Related platforms
Let's build together.
If your organisation, bank or industry is ready to turn data into decisions, start the conversation here.