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Deploy sovereign AI on your infrastructure - in weeks, not months.
How the AI factory works
Enterprises struggle with two fundamental problems: underutilised AI infrastructure and fragmented data locked in silos. Katonic is the software layer that solves both.
One stack. Three products. Your infrastructure. Zero egress.
One secure interface for every knowledge worker.
Search enterprise knowledge, generate documents, and execute agents - in Teams, Slack, Discord, or the browser.
250+
AI models
100+
Connectors
6
Pre-built agents
20
Languages
Pre-built agents
Build AI apps and agents - visually or in code.
Two paths, one runtime. Data scientists get the IDEs they love; business users get drag-and-drop. Both ship to the same Ops plane.
Capabilities
AI Workspaces
GPU-powered dev environments with JupyterLab, VS Code, RStudio
Model Fine-tuning
Customise foundation models on your proprietary data
Agent Builder
Drag-and-drop workflow designer for AI agents
Prompt Engineering
Version, test, and optimise prompts at scale
RAG Pipelines
Build retrieval-augmented generation workflows
Evaluations
Measure accuracy, bias, and performance metrics
Foundation models · 250+ total
Three integration modesNVIDIA
NIM
Hugging Face
Hub
Llama
Meta
Mistral
Mistral AI
GPT-4
OpenAI
Claude
Anthropic
Gemini
Cohere
Cohere
Groq
Ultra-fast
Together
Together AI
Fireworks
Fireworks AI
250+
More providers
Deploy, monitor, govern - at enterprise scale.
The control plane every regulated industry already asks for. GPU scheduling, role-based access, and audit logs that satisfy your risk office.
Knowledge Connectors
Enterprise-grade connectors that automatically sync, index, and permission every workplace tool.
50+
Connectors
Auto
Sync · Perm
Vector Engine
Natively store and search vector embeddings for accurate retrieval and reduced hallucinations.
Native
Storage
Semantic
Search
MCP Gateway
Enterprise gateway for secure agent-tool connectivity - with full governance, federated auth, and per-server RBAC.
100+
MCP servers
SSO
Fed auth
RBAC
Per-server
Cross-cutting principle
Responsible AI runs through every layer.
Transparent, safe, private by design. Applied to data ingestion, model selection, prompt handling, and inference output - not bolted on after.
AI-Optimised Infrastructure - multi-tenant configurations aligned to enterprise workloads
The same Katonic stack runs in every topology. Choose based on your security and compliance posture, not the vendor's roadmap.
On-Premise
Deploy within your data centre with complete control over hardware and data.
Private Cloud (VPC)
Deploy in your AWS, Azure, or GCP with dedicated resources.
Hybrid
Combine on-premise and cloud for maximum flexibility.
Every piece of the stack has its own spec, reference architecture, and deployment guide.
ACE Co-pilot
Search knowledge, generate documents, execute agents - from one secure interface.
Explore↗Studio
Build AI apps and agents with visual workflows or full code control.
Explore↗Ops
Deploy, monitor, and govern AI at enterprise scale.
Explore↗Agent Marketplace
80+ pre-built agents and app templates, ready to deploy.
Explore↗Knowledge Connectors
50+ connectors for enterprise data with permission sync.
Explore↗MCP Gateway
100+ MCP servers for secure AI agent-tool connectivity.
Explore↗§ 05 · Next
Schedule a technical deep-dive with our solutions architects. We'll walk the reference architecture against your environment, workloads, and compliance requirements.
