AI-Driven Document Intelligence SaaS
Budget: ₹12,500 – ₹37,500 INR
# AI-Powered Enterprise Document Intelligence Platform
## Project Overview
We are seeking an experienced AI Architect / Full-Stack Development Team to build a scalable enterprise SaaS platform capable of collecting, processing, analyzing, and extracting structured intelligence from large volumes of unstructured documents.
The platform will combine document acquisition, OCR, data extraction, AI-powered analysis, workflow automation, advanced search, reporting, and user management into a unified system.
This is a long-term product with multiple development phases. We are looking for highly experienced professionals capable of building production-grade AI systems, not simple websites.
---
## Scope of Work
### Phase 1 – Data Collection & Processing
The platform should be capable of:
* Collecting documents from multiple external sources
* Scheduled data acquisition
* Change detection and updates
* OCR processing for scanned documents
* PDF parsing
* Metadata extraction
* Document normalization
* Document storage and indexing
---
### Phase 2 – AI Intelligence Layer
Build an AI-powered analysis system capable of:
* Extracting structured information from documents
* Summarizing lengthy documents
* Identifying key requirements and conditions
* Detecting important clauses and obligations
* Generating risk indicators
* Producing decision-support outputs
* Confidence scoring
* Citation-backed AI responses
---
### Phase 3 – Search & Knowledge System
Develop:
* Semantic search
* Natural language querying
* Similar-document discovery
* Historical data lookup
* Advanced filtering
* AI-assisted retrieval
* Vector search implementation
---
### Phase 4 – Analytics & Reporting
Create:
* Executive dashboards
* Trend analysis
* Historical analytics
* Comparative analysis
* User reports
* Downloadable reports
* Visual data representations
---
### Phase 5 – User Management & SaaS Platform
Features required:
* Multi-tenant architecture
* User authentication
* Subscription plans
* Role-based access controls
* Admin portal
* Customer portal
* Activity tracking
* Audit logs
---
## Preferred Technology Stack
### Backend
* Python
* FastAPI / Django
* PostgreSQL
* Redis
### Frontend
* React.js / Next.js
* Tailwind CSS
### AI & Data
* OpenAI / Anthropic APIs
* LangChain or equivalent framework
* Vector Database
* OCR Engine
* Embedding Models
### Infrastructure
* Docker
* Kubernetes (preferred)
* AWS / Azure / GCP
---
## Security Requirements
* Enterprise-grade security
* RBAC (Role-Based Access Control)
* Encryption at rest and in transit
* Secure API architecture
* Audit logging
* Multi-tenant isolation
* Backup and recovery mechanisms
---
## Deliverables
* Production-ready source code
* Frontend and backend applications
* Database schema
* API documentation
* Deployment documentation
* Testing documentation
* Admin dashboard
* User dashboard
* CI/CD setup
---
## Required Experience
Please apply only if you have experience with:
* AI/LLM-based applications
* Enterprise SaaS products
* Document intelligence systems
* OCR and data extraction
* Large-scale data processing
* Search platforms
* Production deployment
When applying, please provide:
1. Relevant portfolio projects
2. Technology stack recommendation
3. Development timeline
4. Team structure
5. Cost estimate
6. Post-launch support model
Additional technical and business requirements will be shared only with shortlisted candidates after execution of a Non-Disclosure Agreement (NDA).
## Project Overview
We are seeking an experienced AI Architect / Full-Stack Development Team to build a scalable enterprise SaaS platform capable of collecting, processing, analyzing, and extracting structured intelligence from large volumes of unstructured documents.
The platform will combine document acquisition, OCR, data extraction, AI-powered analysis, workflow automation, advanced search, reporting, and user management into a unified system.
This is a long-term product with multiple development phases. We are looking for highly experienced professionals capable of building production-grade AI systems, not simple websites.
---
## Scope of Work
### Phase 1 – Data Collection & Processing
The platform should be capable of:
* Collecting documents from multiple external sources
* Scheduled data acquisition
* Change detection and updates
* OCR processing for scanned documents
* PDF parsing
* Metadata extraction
* Document normalization
* Document storage and indexing
---
### Phase 2 – AI Intelligence Layer
Build an AI-powered analysis system capable of:
* Extracting structured information from documents
* Summarizing lengthy documents
* Identifying key requirements and conditions
* Detecting important clauses and obligations
* Generating risk indicators
* Producing decision-support outputs
* Confidence scoring
* Citation-backed AI responses
---
### Phase 3 – Search & Knowledge System
Develop:
* Semantic search
* Natural language querying
* Similar-document discovery
* Historical data lookup
* Advanced filtering
* AI-assisted retrieval
* Vector search implementation
---
### Phase 4 – Analytics & Reporting
Create:
* Executive dashboards
* Trend analysis
* Historical analytics
* Comparative analysis
* User reports
* Downloadable reports
* Visual data representations
---
### Phase 5 – User Management & SaaS Platform
Features required:
* Multi-tenant architecture
* User authentication
* Subscription plans
* Role-based access controls
* Admin portal
* Customer portal
* Activity tracking
* Audit logs
---
## Preferred Technology Stack
### Backend
* Python
* FastAPI / Django
* PostgreSQL
* Redis
### Frontend
* React.js / Next.js
* Tailwind CSS
### AI & Data
* OpenAI / Anthropic APIs
* LangChain or equivalent framework
* Vector Database
* OCR Engine
* Embedding Models
### Infrastructure
* Docker
* Kubernetes (preferred)
* AWS / Azure / GCP
---
## Security Requirements
* Enterprise-grade security
* RBAC (Role-Based Access Control)
* Encryption at rest and in transit
* Secure API architecture
* Audit logging
* Multi-tenant isolation
* Backup and recovery mechanisms
---
## Deliverables
* Production-ready source code
* Frontend and backend applications
* Database schema
* API documentation
* Deployment documentation
* Testing documentation
* Admin dashboard
* User dashboard
* CI/CD setup
---
## Required Experience
Please apply only if you have experience with:
* AI/LLM-based applications
* Enterprise SaaS products
* Document intelligence systems
* OCR and data extraction
* Large-scale data processing
* Search platforms
* Production deployment
When applying, please provide:
1. Relevant portfolio projects
2. Technology stack recommendation
3. Development timeline
4. Team structure
5. Cost estimate
6. Post-launch support model
Additional technical and business requirements will be shared only with shortlisted candidates after execution of a Non-Disclosure Agreement (NDA).