Use cases
Inventory
Find every tool, owner, seat, and cost.
Savings
Catch waste, overlap, and renewals early.
Access
Onboard and offboard across your stack.
Context
Map how people, tools, spend, and agents connect.
For
Founders
Protect runway by seeing every tool and cost.
Engineering
Control AI usage, access, and provider spend.
Finance
Reconcile software spend and find waste.
Operations
Keep inventory, access, and renewals current.
Resources & company
Resources
Guides and practical software insights.
Manifesto
Why software operations need a new model.
Press
Company news and media resources.
Partners
Build and grow with ELI.
IntegrationsStacksTools
Talk to a humanDiscover my stack
IntegrationsStacksTools
Discover my stackTalk to a human

Company

  • Home
  • Manifesto
  • Talk to us
  • Partners

Help

  • Terms of service
  • Privacy policy
  • Docs

Product

  • Inventory
  • Savings
  • Access
  • Context

For teams

  • Founders
  • Engineering
  • Finance
  • Operations

Explore

  • Integrations
  • Tools
  • Stacks
  • Startup credits
  • Articles

Socials

  • LinkedIn
  • Instagram
  • TikTok
  • YouTube
Enterprise Layer Intelligence
Categories/AI Orchestration & MLOps/Katonic AI
Katonic AI

Katonic AI

Founded by Prem Naraindas in 2020

Build, deploy, and run custom autonomous agents directly on your own private infrastructure

You can use Katonic AI to build, deploy, and govern autonomous agents entirely within your private infrastructure, on-premise clusters, or air-gapped environments. The system lets your team create agents using visual workflows, conversational prompts, or code. Employees interact with specialized assistants to query enterprise databases, draft business documents, and process customer requests without exposing proprietary data. IT administrators can manage GPU hardware, establish security guardrails, fine-tune models locally, and monitor operational costs across departments while guaranteeing that private data never leaves your internal network perimeter.

What Katonic AI does

Build autonomous workflows using visual node editorsFine-tune open-weight models on proprietary corporate dataSchedule and allocate GPU resources across business unitsMonitor per-agent computational costs and token usageConnect agents to internal databases and business toolsImplement content safety guardrails on model outputsTrack audit logs for regulatory and compliance requirementsAir-gapped and on-premise deployment with zero external data transferFive agent creation methods including visual flowcharts and custom codePre-packaged catalog of eighty production-ready business agents with source codeHardware management with NVIDIA GPU scheduling and memory slicingThree-layer safety guardrails monitoring prompt inputs and system outputsUnified access to over 2,600 language models with budget enforcementHybrid enterprise retrieval connecting directly to existing company databases

Frequently asked

LangChainLangChainCrewAICrewAILlamaIndexLlamaIndexGoogle DriveGoogle DriveNotionNotionSnowflakeSnowflakeBigQueryBigQueryWorkdayWorkdayGreenhouseGreenhouseLeverLeverOracleOracleNetSuiteNetSuiteServiceNowServiceNowZendeskZendeskSalesforceSalesforcePagerDutyPagerDuty

Want a tailored answer?

See whether Katonic AI fits your stack.

Techbible weighs Katonic AI against what you already pay for, your team shape, and the work that's actually happening. Free to start.

Side by side

Compare Katonic AI

Search the catalog or pick a similar tool to compare pricing, features, and fit.

Or pick from similar tools

More in AI Orchestration & MLOps

All tools →
CrewAI

CrewAI

Build and run autonomous multi-agent workflows using visual canvases or Python code

Arize AI

Arize AI

Monitor, trace, and evaluate large language model applications

PySpur

PySpur

Build, test, and deploy AI agent workflows using code or visual drag-and-drop interfaces

Twelve Labs

Twelve Labs

Enables developers to build applications that understand video.

AgentOps

AgentOps

Track, debug, and monitor AI agents and large language model interactions

Composio

Composio

Connect AI models and agents to external apps and developer tools

Weights & Biases

Weights & Biases

Helps AI developers track and manage machine learning experiments.

Buster

Buster

Build internal agents and automate complex company workflows

Katonic AI, sovereign AI, enterprise AI, autonomous agents, LLM deployment, on-premise AI, air-gapped systems, Kubernetes, NVIDIA NeMo, AI guardrails, model gateway, fine tuning, retrieval augmented generation, agent runtime, GPU scheduling