Perception Layer
Cameras, drones, satellites, IoT and custom BuildMore sensors collecting raw data from the physical world.
Comprehensive system architecture
How thirty-four modules become one platform
Microservices on Indian cloud infrastructure, with edge computing for real-time site monitoring. All data flows through a unified lake organised by project, structure and time — with full provenance on every record, because engineering decisions carry life-safety implications.
5Platform tiers
4.1 System architecture
The five tiers
Edge Processing Layer
On-site gateways performing initial processing, compression and time-critical inference — real-time response even with limited connectivity.
Cloud Intelligence Layer
All 34 modules run here, turning perception data into insights, predictions and recommendations.
Knowledge Layer
BuildMore LM, the IS code database, cost intelligence and structural health history. The layer that makes the platform smarter over time.
Application Layer
Web dashboards, mobile apps, API endpoints, voice interfaces for site use and AR overlays for field inspection.
Data architecture
Three data patterns run side by side: streaming (live sensor feeds, camera frames, GPS tracks), batch (satellite imagery, monthly cost updates, quarterly model retraining) and interactive (engineer queries, design changes, report generation).
Security architecture
End-to-end encryption in transit and at rest, role-based access per module and project, audit logging of every access and inference, an air-gapped deployment option for defence and critical infrastructure, and full Indian data localisation.
4.4 Module interconnection map
The power emerges when modules share data
1: AutoCAD AI2: Structural AnalysisAuto-analyse generated designs
2: Structural Analysis3: Cost EstimationAccurate cost from optimised design
3: Cost Estimation4: Material IntelligenceOptimal procurement timing
5: Site Vision AI6: Progress TrackingAuto-update project schedule
5: Site Vision AI8: Worker SafetyPPE compliance and hazard alerts
7: Quality AI9: Concrete HealthLifetime health baseline
9: Concrete Health12: Crack DetectionCause analysis for new cracks
13: Landslide Prediction15: Flood RiskCombined hazard assessment
All sensor modules24: Digital TwinLiving 3D model of structure
All modules25: BuildMore LMIntelligent Q&A and report generation
33. Development roadmap
Forty-eight months, seven phases
Revenue from early modules funds later development, which reduces dependency on outside funding. The first commercial product — the cost estimation engine — is expected within six months.
Phase 1
buildmore.ai / roadmap
Foundation → Month 1–6
Module 3: Cost Estimation, CAD Parser
First working product: CAD to cost estimate
Module 3: Cost Estimation, CAD Parser
01/07
Drag · Scroll · ← → keys
- Phase 1 · FoundationMonths 1–6
First working product: CAD to cost estimate
Module 3: Cost Estimation, CAD Parser
- Phase 2 · Design SuiteMonths 7–14
Complete design automation: architecture to drawings
Modules 1, 2, 4, 22
- Phase 3 · Site EyesMonths 15–22
Computer vision monitoring on 10 pilot sites
Modules 5, 6, 7, 8
- Phase 4 · Custom SensorsMonths 18–28
First sensor prototypes deployed on 20 structures
Modules 26, 9, 11, 12
- Phase 5 · Disaster IntelligenceMonths 24–36
Landslide warning in 5 districts, flood prediction for 10 cities
Modules 13, 14, 15, 16
- Phase 6 · InfrastructureMonths 30–42
NHAI pilot: 200 bridges. CWC pilot: 50 dams
Modules 17, 18, 19, 20
- Phase 7 · Full PlatformMonths 36–48
BuildMore LM launch, complete platform integration
Modules 25, 24, 21, 23, 10, 27–34
3.4 Addressable market
₹17,000 Cr in India. $60B globally.
| Segment | India TAM | Global TAM | Modules |
|---|---|---|---|
| Design & Estimation Software | ₹2,500 Cr | $8B | Modules 1–4 |
| Construction Monitoring & Safety | ₹1,800 Cr | $6B | Modules 5–8 |
| Structural Health Monitoring | ₹3,000 Cr | $12B | Modules 9–12 |
| Disaster Prediction & Geotechnical | ₹2,200 Cr | $7B | Modules 13–16 |
| Infrastructure Health | ₹4,000 Cr | $15B | Modules 17–20 |
| Smart Construction Operations | ₹1,500 Cr | $5B | Modules 21–24 |
| Custom Sensors & Hardware | ₹1,200 Cr | $4B | Module 26 |
| Engineering AI / LM | ₹800 Cr | $3B | Module 25 |
Six revenue channels
- SaaS PlatformMonthly / annual subscription, per module or full platform
- Sensor HardwareHardware sale plus data subscription
- API AccessPer-call pricing
- Consulting & ReportsPer-project fee for risk assessment and analysis
- Insurance DataAnnual data licence
- Training & CertificationPer-course and per-exam
Who it is built for
- Construction companies and contractors — 200,000+ firms in India alone
- Structural engineering and architectural consultancies
- Government infrastructure agencies: NHAI, CWC, Railways, PWD, municipal corporations
- Real estate developers, commercial and residential
- Insurance companies pricing structural and catastrophe risk
- Facility management companies maintaining building portfolios
- Disaster management authorities: NDMA, SDMA, district administrations
37. Technology stack
Open source where possible. Proprietary where it counts.
| Layer | Technology | Purpose |
|---|---|---|
| Languages | Python, C++, JavaScript, Rust | Core, performance-critical, frontend, embedded |
| ML Frameworks | PyTorch, TensorFlow, scikit-learn, XGBoost | Deep learning, CV, traditional ML, tabular data |
| Computer Vision | YOLOv8, Detectron2, OpenCV, Open3D | Object detection, segmentation, 3D processing |
| FEA Solver | Custom C++ with Eigen | Structural analysis engine — proprietary |
| CAD Processing | ezdxf, IfcOpenShell, FreeCAD | DXF, IFC and DWG file handling |
| Cloud | AWS / Azure India regions | Compute, storage, networking |
| Database | PostgreSQL, TimescaleDB, Redis, S3 | Relational, time series, caching, object storage |
| Streaming | Apache Kafka, MQTT | Real-time sensor data and event processing |
| Edge Computing | NVIDIA Jetson, Raspberry Pi CM4 | On-site inference and data preprocessing |
| Sensor Comms | LoRaWAN, NB-IoT, WiFi, Satellite | Sensor-to-cloud data transmission |
34. Team structure
Built by Indian engineers, for Indian conditions
- Rawahul IslamTeam Lead — System Design
- Rayees Ahmad ReshiComputational Architect
- Mudasir AshiqSystem Design Architect
- Danish Nazir NajarImplementation Architect
This document is strictly confidential. For the full technical specification and implementation guide, or to discuss a pilot deployment, get in touch with the team.