
The Responsible AI-Agent for organizations where the answer HAS TO BE RIGHT.
kama.ai answers from knowledge your team approves, not from what a model guesses. Every response is accurate, consistent, and traceable to its source. Governed by design.
How it works: kama.ai is built on a Knowledge Graph AI. Your team curates Trusted Collections of approved information and documents, and the AI Agent answers from them exclusively. Best of all you get consistent answers to the same questions - every time. Governed Generative AI helps with phrasing and coverage within limits you set. Then Intelligent Automation lets the Deterministic AI agent complete multi-step tasks. No hallucinations allowed, where real-world consequences are at stake. This AI doesn’t just answer questions. A Human in the Loop approves key, high frequency questions - to make sure everything is brand-safe.
Why it's different: Most AI chatbots generate first and add guardrails afterward. kama.ai works the other way around: Deterministic AI first to guide and orchestrate. Then generative AI helps only where you allow it. This lowers the risk of AI adoption for teams that can't afford a wrong answer about a permit, a policy, the way to fix an expensive machine on the line, a procedure, or their brand.
Built for: manufacturers, municipalities, government, colleges and universities, professional services, non-profits, museums, and Indigenous services organizations. Purpose-built to be transparent, accountable, and culturally aware.
Get the right information to the right people, at the right time.
If it's got to be right, it's got to be kama.ai.
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StackAI is an enterprise AI automation platform to build end-to-end internal tools and processes with AI agents in a fully compliant and secure way. Designed for large, regulated organizations, it enables teams to automate complex workflows across operations, compliance, finance, IT, and support without heavy engineering.
With StackAI you can:
• Connect knowledge bases (SharePoint, Confluence, Notion, Google Drive, databases) with versioning, citations, and access controls
• Publish AI agents as chat assistants, advanced forms, or APIs integrated into Slack, Teams, Salesforce, HubSpot, or ServiceNow
• Govern usage with enterprise security: SSO (Okta, Azure AD, Google), RBAC, audit logs, PII masking, data residency, and cost controls
• Route across OpenAI, Anthropic, Google, or local LLMs with guardrails, evaluations, and testing
• Deploy in multi-tenant cloud, dedicated cloud, private cloud, or on-premise
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Constellation
Graph-backed code intelligence for your AI assistant.
Constellation turns your codebase into a queryable knowledge graph, giving AI assistants the structural understanding they need to reason about real software — not just the plain text.
Why Constellation?
Text search tells you where a string appears, *everywhere* that string appears. Constellation tells you the exact location of the symbol in question, what it means, what calls it, and what breaks if you change it. Before your assistant edits a function, it can ask:
- Where is this defined, and where is it used across the codebase?
- What's the blast radius of this change?
- Which modules have circular dependencies or dead code?
- How does data flow through the call graph?
Answers come from a semantic graph, not a grep loop.
One Tool, Countless Capabilities
A single `code_intel` tool exposes a rich JavaScript API as a "Code Mode" tool, allowing AI agents to craft complex composite queries.
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