# Dactic

> Contextual middleware for autonomous agents. Dactic captures structured data and tacit knowledge into a living context layer enterprise AI agents can be trusted to act on.

Dactic is the contextual knowledge data layer for enterprise AI. It unifies existing systems and unwritten operating knowledge so autonomous agents can act with grounded, up-to-date context — closing the 80% enterprise AI efficiency gap.

## Pages

- [Home](/): Product overview, how Dactic grounds autonomous agents, and the efficiency gap.
- [Pricing](/pricing): Monthly subscription priced by employees under management, from $49/month for 1 employee to $4,499/month for 150, with 15% off annual billing and custom Enterprise agreements for 151+. Onboarding included, no implementation fee.
- [FAQ](/faq): Answers on architecture, security, deployment, and pricing.
- [Security](/security): How Dactic protects your knowledge, from AWS hosting and encryption to audit logs and Enterprise controls.
- [Blog](/blog): Product news, guides, and research on knowledge-based AI agents.

## Resources

- [The AI Agent Context Checklist](https://dactic.io/checklist): A free 11-page checklist with a scorecard and a 30-day plan that shows which rules, exceptions and know-how your AI agents are missing.

## Guides

- [What is a context layer for AI agents?](https://dactic.io/blog/what-is-a-context-layer-for-ai-agents): What a context layer is, how it differs from RAG, what goes into one, and when small teams need one.
- [Why do AI agents fail at work?](https://dactic.io/blog/why-ai-agents-fail-at-work): The four reasons AI agents fail at work, none of them the model, and how teams fix each one.
- [Dactic vs building your own RAG](https://dactic.io/blog/dactic-vs-building-your-own-rag): A side-by-side on cost, upkeep, accuracy and what each approach can capture, with a five-question decision guide.
- [What is context engineering for business teams?](https://dactic.io/blog/context-engineering-for-business-teams): A plain-English guide for operations leaders on what to capture first, who should own it and how to measure it.
- [Tools for capturing tribal knowledge before a key employee leaves](https://dactic.io/blog/tools-for-capturing-tribal-knowledge-before-a-key-employee-leaves): Five kinds of tools compared, a plan for the notice period and a way to test the result.
- [Tacit AI: what tacit knowledge in the AI layer is, and why it matters](https://dactic.io/blog/tacit-ai): What tacit AI means, where it sits in the AI stack and why AI agents need it.

## Optional

- [Privacy Policy](/privacy): How Dactic handles personal data.
- [Terms of Service](/terms): Terms governing use of Dactic.