Multiple Enterprise Clients
FruGPT: Enterprise AI Platform for Document Intelligence
How we built a comprehensive AI-powered platform that revolutionized RFP processing and team collaboration for enterprise clients.
The Challenge
Enterprise clients managing government contracts and complex RFPs needed to search through tens of thousands of historical documents — past proposals, technical specifications, compliance records, and project reports. The existing process was entirely manual:
- Subject matter experts spent days searching through file shares and document management systems
- Knowledge was tribal — experienced employees knew where documents were, but institutional knowledge walked out the door with every departure
- Response quality varied based on which team members were available
- Organizations were losing competitive bids because response turnaround was too slow
Our Solution
Multi-Model AI Integration
FruGPT integrates multiple AI models to provide the best possible response for each query type. The platform automatically selects the most appropriate model based on the complexity and nature of the request, with support for document analysis, conversational queries, and structured data extraction.
RFP Automation Engine
The centerpiece of FruGPT for enterprise clients — the RFP engine can:
- Parse incoming RFPs to identify individual requirements and questions
- Search across the entire document library for relevant past responses
- Generate draft responses with proper source attribution
- Flag gaps where no existing content is available
- Track compliance requirements across multiple sections
Advanced Document Intelligence
- Format normalization across PDFs, DOCX, spreadsheets, emails, and scanned documents
- OCR processing for scanned and image-based documents
- Semantic chunking that preserves document context while enabling precise retrieval
- Hybrid retrieval combining vector search (semantic similarity) with keyword search (exact matching) and metadata filtering
Enterprise Features
- SSO authentication through existing identity providers
- Role-based access control ensuring users only see authorized documents
- Audit logging for compliance — every query and retrieval is logged
- Source attribution — every AI-generated answer links back to the specific document section
- Team workspaces for collaborative document review and response drafting
Technical Implementation
- Frontend: Next.js 14 + React 18 + TypeScript
- Backend: Node.js + Express + Prisma ORM
- Database: PostgreSQL (Neon) for application data
- Vector Store: Pinecone for semantic search
- Authentication: Auth0 with enterprise SSO
- Background Jobs: Trigger.dev for document processing pipelines
- Infrastructure: Docker + Kubernetes with auto-scaling
Results & Impact
- 90% reduction in RFP response time — what took days now takes hours
- 90,000+ documents processed and indexed for instant retrieval
- 3x productivity increase for proposal teams
- Sub-second retrieval across the entire document library
- Improved win rates — consistent, comprehensive proposals regardless of team availability
- Knowledge preservation — institutional knowledge captured in the platform, not dependent on individuals
“The depth of document intelligence is what sets FruGPT apart. It doesn’t just find documents — it understands context, pulls the most relevant sections, and even suggests how to frame the response for different audiences.”
— Director of Business Development, Healthcare Provider
Scale
Across all FruGPT deployments, we’ve now processed over 8 million documents for enterprise clients, demonstrating the platform’s ability to scale from tens of thousands to millions of documents without degradation in retrieval speed or accuracy.
"FruGPT transformed our RFP process from a week-long scramble into a same-day workflow. The accuracy of document retrieval is remarkable — it finds relevant content that our team didn't even know existed in our archives."
Want results like these?
Talk to our team about the right platform for your organization.