Enterprise AI Data Fusion Platform Development

Project Description
Overview
We are building a large-scale Enterprise AI Data Fusion Platform capable of integrating multiple structured and unstructured data sources into a unified analytics environment.
The platform will leverage modern AI, graph analytics, geospatial visualization, machine learning, natural language processing, and advanced search technologies to deliver actionable insights from large datasets.
This is a greenfield project with a long-term roadmap. We are seeking highly experienced software architects and senior AI engineers capable of designing scalable, enterprise-grade systems.
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Core Capabilities
AI-Powered Search
• Natural language search
• Semantic search
• Entity lookup
• Context-aware retrieval
• Intelligent filtering
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Entity Resolution
Merge records from multiple independent datasets into unified entity profiles.
Examples include:
• customer records
• organizational records
• assets
• locations
• devices
• documents
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Knowledge Graph
Interactive relationship visualization including:
• entity relationships
• organizational hierarchies
• asset relationships
• event timelines
• network analysis
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AI Assistant
Enterprise AI assistant capable of:
• summarizing information
• generating reports
• answering questions over internal datasets
• identifying patterns
• recommending next actions
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Document Intelligence
• OCR
• PDF processing
• document classification
• entity extraction
• knowledge extraction
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Geospatial Analytics
Interactive mapping
Historical movement visualization
Heatmaps
Location clustering
Route visualization
Geofencing
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Predictive Analytics
Machine learning models for:
• anomaly detection
• trend prediction
• behavioral analysis
• pattern recognition
• forecasting
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Dashboard
Modern executive dashboard including:
• KPIs
• alerts
• analytics
• reporting
• visualization
• customizable widgets
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Preferred Technology
Backend
• Python
• FastAPI
• PostgreSQL
• Neo4j
• Elasticsearch
• Redis
• Kafka
AI
• PyTorch
• TensorFlow
• LangChain
• Llama
• Vector Databases
• RAG
Frontend
• React
• TypeScript
• Mapbox
• D3.js or Cytoscape.js
Infrastructure
• Docker
• Kubernetes
• AWS or Azure
• CI/CD
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Deliverables
• Production-ready source code
• Complete documentation
• API documentation
• Database design
• Deployment scripts
• Testing
• Docker containers
• Security best practices
• Technical documentation
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Who We're Looking For
Senior engineers with experience building:
• Enterprise SaaS platforms
• AI applications
• Knowledge graphs
• Big data platforms
• Large-scale search systems
• Distributed systems
• Analytics platforms
• Cloud-native microservices

Here's a practical budget allocation.
Role / Deliverable Duration Budget (USD)
Solution Architect / Technical Lead Part-time (8–10 weeks) $6,000
Senior Backend Engineer (Python/FastAPI) Full-time $10,000
AI / Machine Learning Engineer Full-time $9,000
Frontend Engineer (React/TypeScript) Full-time $7,000
DevOps & Cloud Engineer Part-time $4,000
UI/UX Designer Contract $2,000
QA / Test Engineer Contract $2,000
Security Review & Penetration Testing Final phase $3,000
Project Management & Contingency Throughout $7,000
Total $50,000
Suggested Milestone Payments
Milestone 1 – Planning & Architecture (10%) – $5,000
• Technical architecture
• UI/UX wireframes
• Database schema
• API specifications
• Project roadmap
Milestone 2 – Core Platform (20%) – $10,000
• Authentication
• User management
• Backend framework
• Database setup
• Initial frontend
Milestone 3 – Data & Search (25%) – $12,500
• Data ingestion pipelines
• Search capabilities
• Entity management
• Knowledge graph integration
Milestone 4 – AI Features (25%) – $12,500
• AI assistant
• Document processing
• Analytics
• Reporting
• Dashboard
Milestone 5 – Deployment & Acceptance (20%) – $10,000
• Testing
• Security review
• Performance optimization
• Documentation
• Deployment
• Bug fixes
Team Structure
To stay within budget, keep the core team lean:
• 1 Solution Architect / Technical Lead
• 1 Senior Backend Engineer
• 1 AI / ML Engineer
• 1 Frontend Engineer
• 1 DevOps Engineer (part-time)
• 1 UI/UX Designer (contract)
• 1 QA Engineer (contract)
This is a 6–7 person team, with only three to four people working full-time at any given point.
Scope Expectations
A $50,000 budget is realistic for delivering:
• Secure authentication and role-based access
• Modern web interface
• Data ingestion framework
• Search and entity resolution
• Knowledge graph visualization
• AI-powered document summarization and Q&A over ingested data
• Interactive dashboards
• Containerized deployment and documentation



Please include portfolio links, GitHub repositories, architecture examples, and previous enterprise projects.
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Important
Shortlisted candidates will be required to sign a Non-Disclosure Agreement (NDA) before detailed functional requirements are shared