Eliminate Hallucinations withEnterprise RAG Systems

Ground your AI in truth. We build intelligent search pipelines that deliver accurate, cited answers from your proprietary data.

How It Works

From raw data to accurate answers.

1. Ingest

Connect to PDFs, Databases, APIs

2. Index

Vectorize and store in Vector DB

3. Retrieve

Semantic search for relevant context

4. Generate

LLM answers with citations

Industry Applications

Legal & Compliance

Instantly search thousands of contracts and case files.

  • • Clause comparison
  • • Precedent search
  • • Regulatory Q&A

Healthcare

Clinical decision support grounded in medical protocols.

  • • Protocol retrieval
  • • Drug interaction checks
  • • Patient history summary

Internal Knowledge

Stop answering the same questions on Slack.

  • • HR Policy Q&A
  • • Technical Onboarding
  • • Project Documentation
Pricing

Simple, Transparent Pricing

Choose the plan that fits your business needs. All plans include dedicated support.

Proof of Concept

Validate ROI with a pilot project.

$3,000 - $5,000
Start Pilot

What's included

  • 1 Data Source (<1k docs)
  • Basic Web Chat Interface
  • Performance Benchmarks
  • Documentation & Source Code
  • 2-3 Weeks Delivery
Most Popular

Production MVP

For department-level deployments.

$8,000 - $15,000
Build MVP

What's included

  • Multi-source (3-5 sources)
  • Advanced Hybrid Search
  • Custom UI with Citations
  • User Analytics Dashboard
  • Cloud Deployment
  • 30 Days Support

Enterprise Solution

Organization-wide knowledge management.

$20,000+
Contact Sales

What's included

  • Multi-tenant Architecture
  • SSO & Role-based Access
  • Custom LLM Integration
  • Load Testing (10k+ users)
  • SLA Guarantees
  • 90 Days Premium Support

Need a custom solution? Contact us for enterprise pricing.

Contact Sales

Frequently Asked Questions

Retrieval-Augmented Generation (RAG) combines LLMs with your private data. It allows AI to answer questions based on your internal documents (PDFs, Wikis, Databases) accurately and without hallucinating.

We engineer the system to strictly ground answers in retrieved context. If the answer isn't in your documents, the AI is trained to say "I don't know" rather than making things up. We also provide citations for every claim.

Yes. We build data pipelines to ingest from SharePoint, Google Drive, Salesforce, Slack, SQL databases, and more. The system stays in sync with your data sources.

Your data never trains public models. We can deploy the entire stack (Vector DB, LLM, API) within your private cloud (AWS/GCP/Azure) or on-premise for maximum security.

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