Knowledge and automation
Private knowledge and RAG systems
Retrieve and synthesize internal knowledge with citations, permissions, evaluation, and deployment in the right data boundary.
Primary buyer: Knowledge, legal, support, and enterprise teamsThe real constraint
Business knowledge is fragmented, permissions matter, and a fluent answer is not the same as a correct action.
How we approach it
We make sources, tools, approvals, audit trails, confidence, and exceptions explicit in the workflow.
How we prove it
Representative tasks are evaluated end to end against correctness, completion time, exceptions, and reviewer effort.
Production system
Knowledge and automation
Controlled systems that retrieve, reason, extract, route, and ask for human judgment when needed.
- 01Knowledge and permission model
- 02Retrieval and structured extraction
- 03Agent tools and workflow state
- 04Human review and exception routing
- 05Audit, monitoring, and retention
Typical fit
Faster trusted access to internal knowledge with visible source evidence
FAQ
Questions before a pilot
01Do we need perfect data before starting?
No. Discovery establishes whether representative data exists, what quality gaps matter, and the cheapest evidence needed before a production promise.
02Can Tandemora own the complete implementation?
Yes. Scope can include product interface, models, data, cloud, integrations, observability, deployment, and handover, with specialists added when the system requires them.
03How is pricing determined?
Uncertain work begins with a bounded paid discovery or pilot. Production is priced after evidence clarifies data, integration, quality, operations, and ownership.
Service focus
Enterprise RAG Consulting and Development
Build a private RAG and enterprise knowledge system with citations, permissions, freshness controls, evaluation, and the right data boundary.
- Built for
- Knowledge, legal, support, and enterprise teams
- Designed to achieve
- Faster trusted access to internal knowledge with visible source evidence
Related delivery scope
- enterprise RAG development
- private AI knowledge base
- enterprise AI search
- Azure AI Search implementation
Need a different system?
Not quite your solution?
Explore nearby systems or bring the outcome, workflow, and constraints that do not fit a predefined category. Tandemora can scope a custom solution around the real operating problem.
Your version will have different constraints.
Bring the workflow, current system, available evidence, and the assumption you trust least. We will identify the smallest useful next step.
Discuss this system