Ayush Mishra

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

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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

  • Users
    500+ enterprise users
  • Performance
    <3s initial load
  • Uptime
    99.9%
  • Revenue
    Enterprise SaaS
  • Downloads
    50+ 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

Launched: 2024-10-01
Status: Live
Duration: 8 months
Team: Solo developer
2,156 upvotes
AI/ML
Enterprise
Document Management
AEC
RAG
SaaS

Tech Stack

Next.js 15
React 19
TypeScript 5
Tailwind CSS
Supabase
PostgreSQL
Drizzle ORM
AI SDK v5
Google Gemini 2.5 Pro
OpenAI GPT-4
Anthropic Claude
Python FastAPI
MarkItDown
pgvector
Vercel
Google Cloud Run

Awards & Recognition

Best AI Innovation in Construction

Construction Technology Awards2024-11-15

Enterprise Product of the Year

TechCrunch Enterprise2024-10-20

Best SaaS for Construction

Product Hunt2024-09-25