The architecture behind
specialized intelligence.
Explore every layer of the Arivonix platform — the institutional knowledge and models that flow in, the specialization engine at its core, the agent runtime, and the channels that embed intelligence directly in your workflows.
Building this from scratch typically costs $1M+ in engineering and 12 to 18 months to production. Arivonix has built it, so your team starts at the specialization step, not the infrastructure one.
Hover any layer for a quick look, or select it to expand the components below.
Where the magic happens
Specialized intelligence, packaged for your specific use cases and shipped where your teams already work.
Use-case accelerators
- Domain-specific templates
- Pre-built for common workflows
Custom agentic workflows
- Built for your projects
- Compose agents into pipelines
White-labeled products
- Ship under your brand
Embedded experiences
- In your apps & tools
- SDK, APIs, components
Secured by MCP · SSO · MFA · SAML/OIDC · RBAC · ABAC · JIT.
How intelligence reaches people & systems
Conversational or programmatic, all inside your governed environment.
AI search & chatbot
- Conversational UX over your knowledge
GenAI analytics
- Natural-language queries on your data
Knowledge graph UI
- Semantic explorer
REST APIs & cleanroom
- Programmatic access + secure share
Self-service BI
- Dashboards & notebooks
Embedded & external
- SDK, webhooks
Every decision, observed and scored
Telemetry and feedback continuously feed the learning loop.
Agent traces & spans
- Tool calls, latency, tokens
User feedback
- Ratings, corrections, edits
Quality & eval
- LLM judges, human raters
Drift detection
- Behavior shifts, regressions
Reinforcement signals
- Preference data → DPO / RLAIF
↑ Feeds back into the Specialization core to retrain and realign your models.
Specialized agents at work
Agents plan, collaborate, and run your workflows, with humans in the loop where it matters.
Agent catalog
- 200+ system + custom domain agents
Orchestration & routing
- Plan, route, supervise, escalate
Multi-agent protocol
- A2A messaging, shared memory
Workflow + HITL gates
- Approvals, review, override
State & context
- Sessions, memory, long-term recall
Where models meet your knowledge
The specialization engine turns general-purpose models into ones that reason in your domain.
Language Model Designer
- Fine-tune LLMs & SLMs on your knowledge
- Train, adapt, align, evaluate
RAG & embeddings
- Hybrid retrieval with citations
Prompts & tools
- Skills, templates, MCP
Knowledge graph builder
- Semantic reasoning over your data
Guardrails
- Safety, PII, policy enforcement
Data pipeline designer
- 250+ transformations, synthetic data
Evaluation harness
- Benchmarks, LLM judges, regression tests
What flows in
Your data, any model, and your systems, with zero data movement, inside your environment.
Institutional knowledge
- Knowledge graph, ontologies & taxonomies
- Documents, policies & runbooks
- Catalog, lineage & vector indices
Models
- LLMs & SLMs — frontier, open-source, hosted
- Embedding, vision & multimodal
- Registry, versioning & serving
Data connectors
- 250+ connectors, multi-cloud
- CRM, ERP, databases, SaaS
- Real-time + batch, streams & events