Connect
Connect company documents, shared files, databases, messages, and business context without forcing a new way of working.
Company knowledge layer
Turn company knowledge into action-ready work.
Tactas connects docs, files, business data, and source context so AI agents can answer questions, summarize information, prepare outputs, and support automated tasks.
Company knowledge
Context agents can use
Source-backed
Answers tied to sources
Action-ready
Outputs prepared for work
Managed layer
Built, tuned, and operated
Knowledge runtime
What changed in the enterprise refund policy?
Searching source documents, business notes, and related context.
Cited answer
The policy changed this quarter. The next step is to prepare a customer-ready answer, attach the source, and create a follow-up task for the account owner.
Policy-update.pdf p.12
Account-notes.md sec.3
Product-guide p.4
Team-playbook p.9
Metadata
Hybrid index
Permissions
Company Knowledge Layer
Source-Backed Answers
Document Search
Action-Ready Context
Managed service
Company knowledge for managed AI agents.
The value is not just search. It is the operating layer that turns documents, files, and source context into answers, summaries, task outputs, and automated work.
Prepare
Parse, clean, organize, index, and retrieve knowledge so agents can find the right source context for each task.
Use
Turn source context into answers, summaries, task outputs, next steps, and reusable knowledge for business work.
Improve
Tune retrieval quality, refresh sources, evaluate answers, and keep the knowledge layer useful as the business changes.
Knowledge flow
From source material to action-ready context.
01
Connect sources
Docs, files, databases, messages, shared workspaces
02
Prepare knowledge
Parse, clean, organize, index, and keep source context current
03
Retrieve context
Find relevant passages, metadata, and business context for each request
04
Create output
Answer, summarize, prepare next steps, and attach source context
05
Improve quality
Tune retrieval, update sources, and improve answer usefulness
Task outcomes
Knowledge outcomes where source-backed context matters.
Start with one knowledge source, prove answer quality, then expand the layer into business tasks and managed agents.
Answer questions with source context
Summarize documents into useful briefs
Prepare next steps from company knowledge
Reuse source context in business tasks
Find the right document details quickly
Turn files into action-ready outputs
Connect shared drives to AI agents
Keep business knowledge available at work
Packages
Start narrow. Prove source quality. Expand into action.
Pilot
Prove value with one knowledge source, real business questions, source-backed answers, and useful task outputs.
- 1 source connection
- Representative documents
- Answers and summaries
Business
Launch a managed company knowledge layer for business teams with multiple sources, source context, and quality tuning.
- Multiple sources
- Task-ready context
- Monthly quality tuning
Enterprise
Run a reusable knowledge layer for managed AI agents across teams, tools, and repeated business tasks.
- Shared knowledge layer
- Custom evaluation sets
- Connected task experiences
FAQ
Common questions before launching a company knowledge layer.
01
Is this a product or service?
It is a managed capability layer. Tactas AI connects knowledge sources, builds source-backed retrieval, and turns company knowledge into context agents can use for answers, summaries, outputs, and automated work.
02
Can it use our current document storage?
Yes. We can connect to existing document storage, shared files, databases, work tools, and internal repositories.
03
How do you reduce unsupported answers?
Answers are generated from retrieved source passages, include citations, and are tested with evaluation questions so weak retrieval paths can be improved.
04
Is this still RAG?
RAG and search are technical proof points. The business value is a company knowledge layer that managed AI agents can use to produce action-ready work.
Start a knowledge review
Turn one knowledge source into action-ready AI context.
Share the knowledge source, business questions, and task outputs your team wants AI agents to support first.