We connect AI to your documents, SOPs, CRM, and internal knowledge using RAG — so your team can get instant, sourced answers and improve processes without digging through files.
Your company's most valuable knowledge is trapped in documents, spreadsheets, wikis, and email threads that nobody can search effectively.
When someone needs an answer, they spend 30 minutes digging through folders, pinging colleagues on Slack, or waiting for the one person who “just knows.” Meanwhile, generic AI tools can't help because they don't have access to your internal data.
We build a RAG-powered data intelligence system that connects AI to your company's documents, SOPs, CRM records, wikis, and databases — so your team can ask questions in plain language and get instant, sourced answers.
Every answer comes with citations back to the original documents. Your data stays private, the index updates automatically, and your team stops wasting hours searching for information that already exists.
From scattered company data to a queryable AI system in 3-5 weeks.
We inventory every data source in your business — documents, SOPs, CRM records, wikis, databases, emails — and assess each for ingestion readiness, format, and coverage gaps.
Your data is cleaned, chunked, and embedded into a vector database. We set up automated connectors so new and updated documents are indexed continuously.
We build the retrieval-augmented generation pipeline — selecting the right embedding model, retrieval strategy, and LLM to ensure accurate, sourced answers from your data.
Your team gets a chat interface to ask questions of your data. We test with real business scenarios, refine retrieval accuracy, and tune the system for your most common queries.
The system goes live integrated with your existing tools. We train your team, connect data sources, and begin the 60-day optimization period to continuously improve accuracy.
From data audit to live query system — set up in 3-5 weeks.
Complete inventory of all company data sources — documents, databases, wikis, CRM — with ingestion readiness assessment.
Production-grade retrieval-augmented generation pipeline that indexes your data and returns sourced, accurate answers.
A chat-based interface where your team can ask questions of your company data in plain language and get cited answers.
Automated connectors to your existing systems — Google Drive, Notion, SharePoint, CRM, databases — keeping your index current.
Evaluation reports showing retrieval accuracy on your real-world questions compared to manual lookup and generic AI.
Full technical docs covering pipeline architecture, data flow, query patterns, and maintenance procedures.
Hands-on sessions teaching your team how to ask effective questions and get the most from your data intelligence system.
Two months of monitoring, index tuning, and refinement to ensure accuracy improves as your data evolves.
The businesses that see the fastest payback from AI data intelligence.
If your team wastes hours searching through documents, wikis, and email threads for answers that already exist somewhere — RAG puts it all in one queryable system.
Healthcare, legal, and finance teams need sourced answers with citations. RAG returns the exact documents behind every answer so you can verify and audit.
If you have complex processes, SOPs, and policies that staff constantly reference — give them an AI that answers instantly from your actual documentation.
Here's what the numbers look like for a typical 20-person team spending time searching for internal information:
One-time investment · Delivered in 3–5 weeks
Everything Included
How RAG works, data security, what you can connect, and what to expect.
30 minutes. No pitch. We audit your operations and tell you exactly where to start.