Your Documents.
Instant Answers.
Zero Guessing.
Stop watching your team waste hours searching for information. We build AI that answers from your actual documents.with citations, not hallucinations.
Watch your knowledge
come to life.
Document Ingestion
Your documents from PDFs, wikis, Notion, Confluence, and more are connected and continuously synced.
We integrate directly with your existing systems. No manual uploads, no file conversions. Just connect and go.
From discovery to deployment
in 4-6 weeks.
Here's how we build RAG systems that actually work. A proven methodology refined across dozens of successful implementations.
Discovery
We analyze your existing documentation, identify knowledge gaps, and define success metrics. What questions should your AI answer?
Discovery
We analyze your existing documentation, identify knowledge gaps, and define success metrics. What questions should your AI answer?
Architecture
We design the optimal chunking strategy, embedding model selection, and retrieval architecture based on your specific use case.
Architecture
We design the optimal chunking strategy, embedding model selection, and retrieval architecture based on your specific use case.
Data Pipeline
We build robust pipelines to extract, clean, chunk, and embed your documents. Handles 100+ file formats automatically.
Data Pipeline
We build robust pipelines to extract, clean, chunk, and embed your documents. Handles 100+ file formats automatically.
RAG Core
The heart of the system: semantic search, context assembly, prompt engineering, and response generation with citations.
RAG Core
The heart of the system: semantic search, context assembly, prompt engineering, and response generation with citations.
Integration
We integrate the RAG system into your existing tools: Slack, Teams, internal portals, or custom applications.
Integration
We integrate the RAG system into your existing tools: Slack, Teams, internal portals, or custom applications.
Optimization
Rigorous testing against real questions, retrieval accuracy tuning, and production deployment with monitoring.
Optimization
Rigorous testing against real questions, retrieval accuracy tuning, and production deployment with monitoring.
Same question.
Completely different trust.
Enterprise customers typically have a 30-day refund window. You can request a refund by contacting support or through your account settings. Most enterprise plans include flexible cancellation terms.
Problems
AI that admits when it doesn't know.
Generic AI makes things up. Our RAG systems only answer from your verified documents. When the answer isn't there, it says so honestly instead of fabricating plausible-sounding fiction.
Got questions?
We've got answers.
98%+ accuracy, verified against your actual documents. Unlike generic chatbots that hallucinate, our RAG systems only answer from your knowledge base. If the answer isn't in your documents, the AI says so instead of making things up.
Still have questions?
Turn your documents
into answers.
Get a personalized demo with your actual documents. We'll build a working proof-of-concept you can test before committing.