Launching today
Kavach - By bluehawks.ai
Kavach – Your company's knowledge, put to work by agents
1 follower
Kavach – Your company's knowledge, put to work by agents
1 follower
Kavach is an enterprise agentic OS. It connects the sources your organisation already uses, keeps them indexed incrementally, discovers how the company fits together, and runs agents and automations on top of that — under your own policies, with your own model
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Hey everyone!
After months of building, architecting, breaking things, rebuilding, and questioning several architectural decisions, we're launching the beta of Kavach by Bluehawks AI on Product Hunt.
I want to explain what we're actually building because the term Agentic AI is being used for almost everything these days.
What is Kavach?
Kavach is an Enterprise Agentic Operating System.
Our objective is to provide enterprises with a unified platform to build, deploy, orchestrate, execute, evaluate, govern, and continuously evolve AI agents.
We don't believe enterprise AI should be a collection of disconnected chatbots, individual agents, and automation workflows.
It needs an underlying operating system that connects all these capabilities.
What does Kavach bring together?
1. Kavach AI Studio
The customer-facing environment for building and operating enterprise AI applications and agents, with model and tool integrations.
2. Agentic Orchestration
Multi-agent systems, coordination, task delegation, tool execution, and complex agentic workflows.
3. Experience Engine
A platform for capturing enterprise interactions, telemetry, experiences, and knowledge to continuously improve contextual intelligence.
4. Enterprise Knowledge Platform
Knowledge ingestion, retrieval, vector and graph-based context, organizational relationships, and MCP-powered integrations.
5. Model Factory
Model customization, PEFT, LoRA/QLoRA, fine-tuning, quantization, and model lifecycle capabilities.
6. Evaluation Framework
Agent evaluation, benchmarking, security testing, latency profiling, and systematic quality assessment.
7. Enterprise Governance & Security
Identity, access control, tenant isolation, policy enforcement, and controlled agent execution.
The Intelligence Architecture
One of the interesting aspects of Kavach is how we approach enterprise intelligence.
We are developing interconnected intelligence layers:
Organization Brain – institutional knowledge and organizational context.
Department Brain – departmental expertise and operational intelligence.
Persona Brain – role-specific knowledge and responsibilities.
Employee Brain – individual expertise and accumulated working knowledge.
These are not separate products. They form part of the broader intelligence architecture that powers the operating system.
The vision is for enterprise intelligence to continuously evolve as people and agents interact with the platform.
Why are we building this?
We believe the next generation of enterprise software will not simply expose APIs and dashboards.
It will provide an execution environment where humans and AI agents collaborate, where agents understand enterprise context, access governed tools, execute workflows, and are continuously evaluated.
That's the direction we're taking with Kavach.
We're launching the beta today, and we'd genuinely appreciate feedback from people working in AI infrastructure, distributed systems, LLMs, agent frameworks, enterprise architecture, and security.
We're offering a 14-day free trial without requiring a credit card.
Product Hunt:
https://www.producthunt.com/products/kavach-by-bluehawks-ai
Website:
https://bluehawks.ai
We're building something ambitious, and we're looking forward to having the community challenge our architecture, assumptions, and implementation.
What would you expect from a true Enterprise Agentic OS?
Bring your own model. Any OpenAI-compatible endpoint: a provider key, or your own vLLM, Ollama or llama.cpp server. Kavach does not sell tokens, so nothing on your bill grows with tokens.
Nothing to install - the Studio runs in your browser.
Every account starts with a 14-day free trial of the whole Studio, no card. Beta pricing until 31 December 2026: Bring Your Own Compute $9.99 per seat per month, Kavach Cloud $24.99.
Docs: docs.bluehawks.ai. If you want to drive it from Claude Code or another MCP client, the endpoint is api.bluehawks.ai/mcp.
I would love to hear what breaks when you point it at your own sources.