AECOS Insights
Enterprise-grade AI document management system specifically designed for Architecture, Engineering, and Construction (AEC) contractors. Built with Next.js 15, React 19, and multi-provider AI integration, it processes hundreds of documents with thousands of pages to provide intelligent, context-aware responses for large contractors like NBCC, L&T, and other major construction companies.
Technical Architecture
Enterprise-grade AI document management system specifically designed for Architecture, Engineering, and Construction (AEC) contractors. Built with Next.js 15, React 19, and multi-provider AI integration, it processes hundreds of documents with thousands of pages to provide intelligent, context-aware responses for large contractors like NBCC, L&T, and other major construction companies.
System Architecture
AEC document processing requires specialized chunking strategies for technical content
Multi-provider AI systems need consistent response formatting and fallback mechanisms
Enterprise clients require granular RBAC with both system and project-level permissions
Vector search performance is critical for large document collections (10,000+ pages)
Credit-based pricing models need real-time usage tracking and quota management
Advanced RAG with multi-hop retrieval for complex queries
Real-time collaboration features with live document editing
Custom AI models trained on AEC-specific terminology and standards
Advanced analytics with project insights and compliance tracking
Mobile applications for on-site document access
API integrations with popular AEC software (AutoCAD, Revit, Primavera)
Blockchain-based document authenticity and version control
Key Metrics & Features
Key Metrics
- Users500+ enterprise users
- Performance<3s initial load
- Uptime99.9%
- RevenueEnterprise SaaS
- Downloads50+ organizations
Core Features
- Multi-format document processing (PDF, DOCX, XLSX, PPTX, Images)
- AEC-optimized processing for engineering documents and specifications
- Smart semantic chunking preserving table integrity and technical content
- Vector search with Google embeddings and pgvector for semantic document search
- Automatic metadata extraction (title, author, project codes, document types)
- Multi-provider AI support (Gemini 2.5 Pro, GPT-4, Claude, Grok)
- Context-aware responses with source attribution and page references
- Multi-step reasoning with transparent AI thinking process
- Real-time streaming responses with typing indicators
- Multi-tenant architecture with seat-based subscriptions
- Role-based access control (system + project roles)
- Team collaboration with invitation system
- Credit system with usage-based pricing
- Comprehensive audit logging for all user actions
- AI document generation (summaries, compliance reports, comparisons)
- Custom document templates with export options (PDF, Word, Markdown)
Project Information
Project Info
Tech Stack
Awards & Recognition
Best AI Innovation in Construction
Construction Technology Awards • 2024-11-15
Enterprise Product of the Year
TechCrunch Enterprise • 2024-10-20
Best SaaS for Construction
Product Hunt • 2024-09-25