The Problem
Enterprises sit on massive document repositories—contracts, technical specs, compliance files, internal wikis—but accessing this knowledge requires exact keyword searches or manual digging.
Public AI tools like ChatGPT cannot be trusted with proprietary data. Generic vector databases do not provide tenant isolation. Custom-built solutions take months and require dedicated AI teams.
FIS solves this: secure, isolated, enterprise-grade AI search that deploys in weeks, not quarters.
How FIS Works
1. Data Ingestion
Connect your blob storage (Azure, AWS, GCP). FIS automatically discovers, chunks, and indexes documents.
2. Vector Embedding
Documents are converted to embeddings using state-of-the-art models. Each tenant gets isolated vector indexes.
3. Query & Retrieval
Users ask natural language questions. FIS performs semantic search across your indexed knowledge base.
4. AI-Powered Response
Relevant document chunks are passed to GPT models. Responses are generated with full source citations.
Core Capabilities
Tenant-Isolated Vector Indexes
Each customer gets dedicated vector stores. Zero cross-tenant data exposure.
Blob Storage Connectors
Connect to Azure Blob Storage, S3, or any cloud object store. Automated ingestion pipelines.
RAG-Based Chat Interface
Natural language queries with GPT-powered responses. Every answer grounded in your data.
Source Citation & Traceability
Every response includes document sources. Full audit trail for compliance.
Multi-Format Document Processing
PDFs, Word docs, Excel, text files, and more. Automated chunking and indexing.
Role-Based Access Control
Granular permissions at document, folder, and index level.
Who Uses FIS
- Legal & compliance teams managing document repositories
- Financial services with regulatory search requirements
- Healthcare organizations with patient record queries
- Manufacturing with technical documentation
- Any enterprise with sensitive, proprietary knowledge bases