Part II — Part IX · Modules 1 to 34

Thirty-four modules. One data model.

Each module works independently and can be purchased separately. But connected to the platform, modules share data and amplify each other exponentially — a crack found by Module 12 is correlated with carbonation data from Module 9 and seismic vulnerability from Module 14.

Upward view of a modern glass office building facade — Design intelligence

Part II · Modules 1–4

Design & Engineering Intelligence

Four modules that automate the complete building design lifecycle — from generating architectural layouts, through structural analysis and optimisation, to cost estimation and material procurement. Months of manual engineering replaced by minutes of computation.

India TAM ₹2,500 CrGlobal TAM $8B4 modules

buildmore.ai / generate

Module 01Generative Design Engine

AutoCAD AI

Generate complete construction drawings from natural language descriptions or basic parameters.

The front door of the platform. Feed it plot dimensions, building type, floor count, a room programme, a budget and a code jurisdiction, and it returns 5–10 ranked design alternatives — each a different trade-off between space efficiency, cost, structural simplicity and aesthetics. A reinforcement learning agent trained on 100,000+ real floor plans works inside a constrained action space, so every design it emits already satisfies stability, code compliance and accessibility.

Generative floor plans for irregular, sloped, corner and interior plots
Structural auto-design: column grids, beam sizing, slab and foundation selection
MEP auto-routing with clash detection across plumbing, electrical, HVAC and fire
Output to DXF, DWG, IFC, PDF and SVG with IS-standard dimensioning

Module 02Custom FEA Solver

Structural Analysis Engine

Complete Finite Element Analysis solver with automatic IS code verification, built from scratch.

The mathematical backbone of BuildMore AI — a custom C++ finite element solver rather than a wrapper around commercial software, so analysis, code checking and optimisation happen in one loop. Every result is verified against the relevant IS clause automatically, and optimised member sizes feed straight back into design and cost.

Linear and non-linear static, dynamic and seismic analysis
Automatic verification against IS 456, IS 800, IS 1893 and IS 13920
Member optimisation feeding directly into Module 1 and Module 3
Proprietary solver built on C++ with Eigen

Module 03CAD → Cost

Cost Estimation Engine

AI-powered cost estimation from CAD designs. Currently in active development.

The first commercial product on the roadmap and the entry point for most customers. A three-layer estimation architecture converts drawings into quantities, quantities into rates and rates into a defensible estimate — using Indian material prices and regional labour rates rather than imported assumptions.

Automated quantity take-off directly from CAD and BIM geometry
Indian BOQ rate intelligence with regional and temporal adjustment
Design-to-cost feedback loop so decisions are priced as they are made
First working product targeted within the first six months

Module 04Selection → Procurement → Waste

Material Intelligence System

End-to-end material lifecycle management from selection to procurement to wastage optimisation.

Indian construction wastes 15–25% of its materials. This module manages the full lifecycle: choosing the right material for the exposure condition, timing procurement against schedule and price movement, and driving wastage down through cutting optimisation and reconciliation.

Material selection matched to exposure class, load case and climate
Procurement timing optimised against schedule and price forecasts
Wastage tracking and cutting optimisation against the 15–25% industry average
Supplier and product data drawn from 10,000+ Indian manufacturer datasheets

Part III · Modules 5–8

Construction Site Monitoring

Computer vision as the permanent eyes of the site. Video from fixed cameras, drones and phones becomes activity recognition, BIM-versus-reality progress, defect detection and real-time hazard alerts.

India TAM ₹1,800 CrGlobal TAM $6B4 modules

buildmore.ai / site-vision

Module 0524/7 Site Intelligence

Site Vision AI

Computer vision system for 24/7 construction site intelligence using cameras and drones.

The eyes of BuildMore AI on site. It processes feeds from fixed cameras, drones, phones and satellites into structured events: which activity is happening, which equipment is where, which materials arrived, who is on site and what is unsafe. Edge gateways run time-critical inference locally so alerts survive poor connectivity.

Activity recognition across trades, shifts and zones
Equipment, material and personnel tracking
Edge inference for real-time alerts without cloud dependency
Feeds progress tracking, quality assurance and worker safety modules

Module 06BIM vs Reality

Construction Progress Tracking

Automatic BIM vs reality comparison for schedule intelligence.

Compares what has been built against what was planned, using the BIM model as reference and camera and drone data as reality. Completion percentages are calculated per floor, per trade and per zone — automatically, continuously, and without a weekly site meeting.

Per-floor, per-trade and per-zone completion percentages
Automatic schedule updates from observed reality
Early detection of slippage against the planned programme
Evidence trail for progress billing and claims

Module 07Inspection at Execution Speed

Quality Assurance AI

Automated construction quality inspection using computer vision and sensor data.

Inspects quality in real time during execution rather than after the fact. It detects honeycombing, segregation and cold joints in concrete pours, verifies rebar placement against drawings for spacing and cover, and records the result as the lifetime health baseline for the structure.

Concrete pour defect detection: honeycombing, segregation, cold joints
Rebar verification against drawings for spacing, cover and lap length
Quality records handed to Module 9 as a lifetime baseline
Non-conformance reports generated automatically with photo evidence

Module 08Zero Fatalities

Worker Safety & Health System

Protect every worker on site. Zero fatalities is the only acceptable target.

India records an estimated 38 fatal construction accidents every day. This module combines computer vision, wearable IoT and predictive AI to detect PPE non-compliance in real time, identify hazardous situations before an incident occurs, and monitor worker health in heat and dust.

Real-time PPE compliance detection across the whole site
Hazard prediction from proximity, posture and equipment movement
Wearable IoT for heat stress, fatigue and man-down detection
Incident reconstruction from synchronised video and sensor history

Part IV · Modules 9–12

Structural Health Monitoring

Buildings collapse because nobody tracked the carbonation of concrete over thirty years. These four modules track it — concrete, steel, foundations and cracks — continuously, from the day of the pour.

India TAM ₹3,000 CrGlobal TAM $12B4 modules

buildmore.ai / concrete-health

Module 09Pour to 100 Years

Concrete Health Monitor

Comprehensive monitoring of concrete structures from fresh pour to 100+ years.

Concrete is the most widely used construction material in the world and it degrades through several mechanisms at once: carbonation reduces alkalinity and depassivates rebar, chloride ingress attacks coastal structures, sulphates attack foundations, and thermal cycling opens micro-cracks. Embedded sensors track all of it continuously.

Carbonation front progression tracked live by embedded pH sensors
Chloride ingress and sulphate attack monitoring for coastal and buried elements
Strength gain curves from pour, then long-term degradation trajectory
Degradation history handed to crack analysis for cause attribution

Module 10Corrosion · Fatigue · Pre-stress

Steel Health Monitor

Monitor every steel element for corrosion, fatigue, weld integrity and pre-stress loss.

Covers rebar inside concrete, structural sections in frames, pre-stressing tendons in bridges, anchor bolts and metal cladding. Galvanic corrosion sensors give warning before any visible damage appears, and fatigue accumulation is tracked against actual load cycles rather than design assumptions.

Corrosion initiation detected before visible damage
Fatigue accumulation from measured load cycles
Weld integrity and connection monitoring
Pre-stress loss tracking in tendons and anchorages

Module 11Settlement · Tilt · Bearing

Foundation Health Monitor

What happens underground determines everything above. Monitor continuously.

Foundation failures are among the most catastrophic structural failures because they affect the entire structure at once. Settlement, differential settlement, tilt, bearing capacity reduction and groundwater change are all monitored continuously rather than inferred after cracks appear upstairs.

Total and differential settlement measurement
Tilt and rotation monitoring for towers and retaining structures
Groundwater level and pore pressure tracking
Bearing capacity re-assessment as ground conditions change

Module 12Sub-millimetre

Crack Detection & Analysis AI

Sub-millimetre crack detection with automatic classification, severity grading and repair recommendation.

Cracks are the most visible indicator of distress, but reading them requires expertise. A hairline crack in plaster may be cosmetic; a similar-looking crack in a beam may indicate shear failure. The module detects, classifies, grades and explains — then recommends the repair, citing the clause.

Detection down to sub-millimetre width from ordinary photographs
Classification: flexural, shear, thermal, shrinkage, settlement, corrosion
Severity grading with monitoring or intervention thresholds
Cause analysis correlated against concrete degradation history

Part V · Modules 13–16

Geotechnical & Disaster Intelligence

A landslide kills because nobody correlated rainfall intensity with slope stability in real time. Multi-sensor prediction for landslides, earthquakes, floods and soil behaviour — tuned to Indian geology.

India TAM ₹2,200 CrGlobal TAM $7B4 modules

buildmore.ai / landslide

Module 13Hours to Weeks of Warning

Landslide Prediction System

Multi-sensor, multi-data-source system predicting landslides hours to weeks before occurrence.

India experiences roughly 15% of the world's landslide fatalities. The Himalayan states, the Western Ghats and the Northeast are all chronically exposed. The system fuses rainfall intensity, soil saturation, pore pressure, ground movement and satellite InSAR into a slope-by-slope risk forecast.

Combined soil moisture and pore pressure sensors installed 0.5m–10m deep
Rainfall correlation using IMD forecasts and live gauges
Ground deformation from satellite InSAR and in-situ inclinometers
District-level alerting with hours-to-weeks of lead time

Module 14Assess · Retrofit · Respond

Earthquake Response Intelligence

Rapid damage assessment, structural vulnerability analysis and retrofit design automation.

59% of India's land area is vulnerable to moderate or severe earthquakes. Prediction remains scientifically unreliable, so this module concentrates on what is tractable: knowing which buildings are vulnerable before the event, and knowing which are unsafe within hours of it.

Pre-event vulnerability scoring across a building portfolio
Rapid post-event damage assessment from imagery and sensor data
Automated retrofit design per IS 1893 and IS 13920
Seismic zone-aware design adaptation for new structures

Module 15Neighbourhood Resolution

Flood Risk Engine

Predict flooding at neighbourhood level, track real-time flood progression and optimise drainage.

Floods are India's most frequent natural disaster, affecting 40 million hectares annually, and urban flooding has worsened sharply as natural drainage disappears under development. The engine models flooding at neighbourhood resolution and tracks progression live during an event.

Neighbourhood-resolution inundation modelling
Real-time flood progression tracking during an event
Drainage network capacity analysis and optimisation
Combined hazard assessment with landslide prediction data

Module 16Geotechnical Certainty

Soil Intelligence System

Transform geotechnical investigation from expensive guesswork into data-driven intelligence.

A typical site investigation drills three to five boreholes and extrapolates across the whole plot. This module fuses those sparse boreholes with regional geology, historical investigation records and surface survey data to produce a continuous, uncertainty-aware ground model.

Interpolated 3D ground models from sparse borehole data
SPT, CPT and lab test interpretation with uncertainty bounds
Regional geology priors trained on historical investigation records
Foundation recommendation feeding structural auto-design

Part VI · Modules 17–20

Infrastructure Health Systems

India's public infrastructure was designed for yesterday's loads. These modules instrument 150,000+ bridges, 5,000+ large dams, 6.2 million km of road and a fast-growing tunnel network.

India TAM ₹4,000 CrGlobal TAM $15B4 modules

buildmore.ai / bridge-shm

Module 17150,000+ Bridges

Bridge Health Monitoring System

Comprehensive monitoring for India's 150,000+ bridges.

Bridge collapses in India are increasing in frequency. Many were designed for far lower traffic loads than they now carry, and maintenance has not kept pace. Continuous instrumentation replaces the annual visual inspection that currently stands between a bridge and failure.

Scour monitoring at foundations through monsoon flood events
Deflection, vibration and modal signature tracking under live load
Bearing, expansion joint and cable condition assessment
Load rating re-assessment against actual measured traffic

Module 185,000+ Large Dams

Dam Safety Monitoring System

Continuous monitoring for India's 5,000+ large dams.

India holds the third largest number of large dams in the world, and many are earthen structures built decades ago without modern instrumentation. The module brings seepage, pore pressure, deformation and reservoir behaviour into one continuously assessed safety picture.

Seepage and phreatic surface monitoring in earthen embankments
Pore pressure and uplift measurement through the foundation
Crest settlement and deformation tracking
Reservoir level, inflow and spillway operation intelligence

Module 196.2 Million km

Road & Pavement AI

Automated pavement condition assessment and maintenance optimisation.

India has the second largest road network in the world at 6.2 million km, but quality varies enormously between national highways and rural roads. Ordinary vehicle-mounted cameras become a survey fleet, scoring distress continuously and prioritising the maintenance budget.

Automated distress detection: cracking, ravelling, rutting, potholes
Roughness and condition indices from vehicle-mounted sensors
Maintenance prioritisation across a network under budget constraint
Deterioration forecasting to plan interventions before failure

Module 20Convergence · Lining · Ingress

Tunnel Health Monitor

Convergence, lining integrity and water ingress monitoring for tunnel safety.

India's tunnel network is expanding rapidly across metro systems, highway projects and hydroelectric schemes. Monitoring matters both during excavation, when convergence signals ground behaviour, and across decades of service life afterwards.

Convergence monitoring during and after excavation
Lining integrity and delamination detection
Water ingress mapping and groundwater interaction
Ventilation and air quality integration for operating tunnels

Part VII · Modules 21–24

Smart Construction Operations

Scheduling, resource optimisation, regulatory checking and environmental footprint — closed into a digital twin that updates in real time from sensors, cameras and maintenance records.

India TAM ₹1,500 CrGlobal TAM $5B4 modules

buildmore.ai / digital-twin

Module 21Schedule · Resources · Risk

Project Management AI

AI-powered project scheduling, resource optimisation and risk prediction.

Construction project management in India is largely manual — Gantt charts in Microsoft Project and progress tracked through weekly site meetings, which means problems surface late. This module keeps the schedule live against observed site reality and forecasts the delays that are already forming.

Schedules that update themselves from progress tracking data
Resource and crew allocation optimised across activities
Delay risk prediction with critical path impact analysis
Automated reporting for owners, lenders and consultants

Module 22Codes as Code

Regulatory Compliance Engine

Digitised IS codes with automatic plan checking and construction verification.

Projects must satisfy the National Building Code, state regulations, municipal bye-laws, environmental rules and fire requirements simultaneously. The engine digitises those rules into a versioned modular rule set and checks drawings and executed work against them automatically.

Automatic plan checking against NBC, IS codes and local bye-laws
Versioned rule engine with a quarterly code update process
As-built verification against the approved drawing set
Approval-ready compliance documentation generated automatically

Module 23Dust · Noise · Water · Waste

Environmental Monitoring System

Track and minimise the environmental footprint of construction activities.

Construction generates dust and air pollution, creates noise, consumes enormous quantities of water and produces waste. Combined air sensors measuring PM2.5, PM10, CO and NO2 — CPCB-calibrated — turn compliance into a live number rather than a quarterly report.

Continuous PM2.5, PM10, CO and NO2 monitoring at site boundary
Noise monitoring against permitted day and night limits
Water consumption and construction waste tracking
Embodied carbon accounting for the material schedule

Module 24Living 3D Copy

Digital Twin Engine

Living 3D digital copy of every structure, updated in real-time from sensors and cameras.

A digital twin is not just a 3D model — it is a data-connected replica that updates continuously from sensors, cameras and maintenance records. Every sensing module in the platform feeds it, which makes it the single place an engineer can ask what a structure is doing right now.

Real-time sensor data bound to geometry, element by element
As-built reconciliation from site imagery and scans
Full maintenance and inspection history attached to the model
Scenario simulation against current, measured condition

Part VIII · Modules 25–26

Core Intelligence Layer

The two modules everything else leans on: a language model trained on 500+ IS codes and 100,000+ project documents, and a custom sensor platform built because the right sensors did not exist.

India TAM ₹2,000 CrGlobal TAM $7B2 modules

buildmore.ai / lm

Module 25Proprietary Language Model

BuildMore LM

A large language model trained specifically for civil engineering, construction and structural engineering.

Not a general model with a construction prompt. BuildMore LM is trained on 500+ BIS standards (~50,000 pages), international standards (ACI, ASCE, Eurocode, ~30,000 pages), 100,000+ research papers, 100,000+ project documents and 5,000+ documented structural failures. It is the reasoning and communication layer for every other module — the part that explains a diagonal crack as a shear crack, cites IS 456 clause 40.4, and recommends the next test.

Decoder-only transformer with a tokeniser built for engineering notation
32K context window for long specifications and code clauses
Retrieval-augmented against the IS code database for factual accuracy
Tool use: invokes the structural and cost engines as computation
Text, voice, image and structured sensor input; reports and calculation sheets out

Module 26Custom Hardware Platform

BuildMore Sensor OS

Where existing sensors are too expensive, too fragile, or don't exist, we build our own.

Research-grade sensors cost lakhs per unit, laboratory instruments do not survive dust and vibration, and nothing off the shelf combines pH, temperature and humidity in a concrete-embeddable package. So the platform designs its own: sensor hardware, communication, edge computing and power, engineered for Indian site conditions and Indian price points.

Concrete pH sensor — ISFET, embeddable, 20+ year target life, ~₹2,000 at scale
Micro-strain sensor — MEMS, ±3000 µε at 1 µε resolution, 5+ year battery
Soil moisture + pore pressure combo — solar powered, ~₹8,000 at scale
Rebar corrosion sensor — galvanic, 10+ year battery, ~₹3,000 at scale
Crack width sensor — 0.01mm resolution, IP67, with documentation camera
Multi-env air sensor — PM2.5, PM10, CO, NO2, CPCB-calibrated, ~₹15,000 at scale
LoRaWAN, NB-IoT, WiFi, satellite and sensor-to-sensor mesh fallback

Part IX · Modules 27–34

Extended Intelligence Modules

Beyond the 26 core modules sit eight specialised systems — glacial lake outburst prediction, underground utility detection, dispute intelligence, heritage conservation, climate adaptation, robotics, insurance risk and smart city integration.

India TAM ₹1,200 CrGlobal TAM $4B8 modules

buildmore.ai / extended

Module 27Himalayan Infrastructure

Avalanche & GLOF Prediction

Predict avalanche risk zones and glacial lake outburst floods for Himalayan infrastructure.

Uses satellite imagery, temperature data, glacial movement tracking and snow depth to forecast avalanche risk and glacial lake outburst floods. Lake area change is tracked with Sentinel-2 optical and Landsat thermal imagery; triggers are predicted from sudden warming, upstream landslides into lakes and ice dam weakening. Alerts route to BRO, NHAI and Indian Railways for route safety.

Glacial lake area change from Sentinel-2 and Landsat
GLOF trigger prediction from temperature spikes and ice dam weakening
Integrated with IMD forecasts and ISRO satellite data
Route safety alerting for BRO, NHAI and Indian Railways

Module 28Before You Dig

Underground Utility Detection AI

Detect and map every underground utility before excavation begins.

Ground penetrating radar interpreted by models trained on 10,000+ utility detection surveys, fused with municipal records, as-built drawings and electromagnetic locator data into a 3D utility map. Water, sewer, gas, electrical, telecom and abandoned structures — found before the excavator does.

GPR interpretation trained on 10,000+ real detection surveys
3D utility maps fusing radar, municipal records and as-builts
Prevents strike accidents, service disruption and worker injury
Utility avoidance zones fed back into generative design

Module 29Claims & Arbitration

Construction Dispute Intelligence

Analyse project records to establish facts, responsibility and delay damages.

When delay claims, defect claims or variation disputes arise, BuildMore LM reads the daily logs, correspondence, meeting minutes, change orders, payment records and site monitoring data. It establishes a factual timeline, maps responsibility to contract clauses, computes damages via as-planned versus as-built analysis, and drafts the claim or the defence.

Factual timeline reconstruction from the full project record
Responsibility mapped against contract clauses
Delay damages via as-planned versus as-built schedule analysis
Claim documents and defence submissions generated as drafts

Module 30Non-invasive Assessment

Heritage Structure Conservation

Non-invasive structural assessment and conservation planning for heritage structures.

India holds thousands of heritage structures that cannot be drilled, probed or sampled. GPR finds voids without drilling, thermal imaging maps moisture without probing, photogrammetry records surfaces in detail and spectral analysis identifies materials without taking samples — all aligned to ASI guidelines and UNESCO preservation principles.

Void detection, moisture mapping and material ID without any intervention
Original construction materials and techniques inferred by AI
Conservation treatments that preserve character and ensure safety
Digital documentation for the heritage archive

Module 31IPCC Scenarios

Climate Adaptation Engine

Analyse any structure against IPCC future climate scenarios and recommend adaptations.

Tests existing or proposed structures against SSP1-2.6 through SSP5-8.5, and predicts what changes: thermal expansion and accelerated degradation from heat, altered flood risk and soil moisture from shifting rainfall, coastal inundation and saltwater intrusion from sea level rise, higher wind loads from more intense cyclones, and changed snow loads.

Structure-level analysis across the full IPCC scenario range
Impact prediction for heat, rainfall, sea level, wind and snow
Adaptation recommendations: drainage, coatings, elevation, mix design
Saltwater-resistant specification for coastal structures

Module 32Machines That Build

Construction Robotics Integration

Interface layer for autonomous construction equipment and robotic execution.

BuildMore AI provides the intelligence — what to build, where, in what sequence — and the robot provides the physical execution. Path planning for 3D concrete printing, coordination of multiple autonomous vehicles, quality verification through Module 7 and progress tracking through Module 6, with a safety layer so robots and human workers can share a site.

Path planning for 3D concrete printing systems
Multi-vehicle coordination for autonomous site equipment
Supports rebar tying, bricklaying, surveying rovers and drone swarms
Human-robot coexistence safety system

Module 33Priced on Evidence

Insurance Risk Intelligence

Real-time structural risk scores for insurance pricing and claims.

Computes live risk scores from every other module — sensor data, inspection records, maintenance history, location hazards, occupancy type and code compliance status. Insurers price CAR policies, structural cover and catastrophe risk on evidence; owners of well-maintained structures can prove it and negotiate lower premiums.

Real-time risk scoring from platform-wide structural data
Accurate pricing for CAR, structural and catastrophe cover
Post-disaster damage assessment for rapid claims processing
Portfolio-level integration with reinsurance models

Module 34City-Scale Coordination

Smart City Integration

Connect BuildMore AI to city-level infrastructure and civic systems.

Construction impact management at city scale: traffic rerouting, utility disconnection and reconnection coordination, and emergency access planning around construction zones. Plus urban heat island monitoring, neighbourhood noise and air quality impact, municipal GIS as-built updating, and public notification of closures and interruptions.

Traffic, utility and emergency access coordination around works
Urban heat island and neighbourhood impact monitoring
Municipal GIS integration for as-built record updating
Public information system for schedules, closures and interruptions
Integrates with AMRUT and the Smart Cities Mission

Module 26 · BuildMore Sensor OS · 6 custom designs

We build the sensors too.

Core

Concrete pH

buildmore.ai / sensor-os · ph

Fresh Pour → Carbonation Front

ISFET · embeddable · 20+ year life

No off-the-shelf sensor combines pH, temperature and humidity in a concrete-embeddable package. So we built one.

₹2,000 at scalepH 8–140.1 resolutionWireless

Tracks carbonation front progression in real time.

01/06

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Pricing

Two products free. The rest unlocks together.

Start on the free tier with the two products already shipping. One licence unlocks all 34 modules — no per-seat pricing, no per-module gating.

Free tier

₹0

ConstructOS + RiskViz only

ConstructOS — site operations, workforce, procurement, RA billing, quality & safety and the client portal
RiskViz — five scored risk layers, polygon AOI assessment and satellite change detection
Unlimited projects on both products
The other 32 modules stay locked

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Full platform

₹25,00,000

per year · unlocks all 34 modules

Every stack — design intelligence, site monitoring, structural health, disaster prediction, infrastructure health and smart operations
BuildMore LM, the digital twin and the 8 extended modules
150+ sub-systems on one data model, unlimited projects
All data stays in India, on Indian cloud infrastructure

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Sensor hardware, API access and consulting are priced separately.

That is all 34

Now see how they connect

The five-tier architecture, the module interconnection map, the 48-month build plan and the technology behind it.

System architecture