BuildMoreAI

Strictly confidential · 34 core modules · 150+ sub-systems

The construction industry is broken.

Buildings collapse because nobody tracked carbonation for thirty years. Bridges fail because nobody watched the scour through the monsoon. These are information problems.

Aerial view of a large urban construction site with cranes and excavation
Site intelligence · live
24/7Site monitoring
34
Core AI modules
150+
Sub-systems
500+
IS codes digitised
48
Month roadmap

Start with a proven stack · 8 intelligence layers

Pick a proven stack. Run it on your site.

Popular

Design Intelligence

buildmore.ai / generate
12.40 M7.6 MIS 456 OK

BriefConstruction Drawings

Natural language → DWG · IFC · BOQ

Five to ten optimised design alternatives, generated before your coffee gets cold.

4 modulesIS 456GenerativeBOQ
Explore Modules 1–4

01/08

Drag · Scroll · ← → keys

The scale of the problem

Buildings literally collapse. Workers die. Every single day.

Construction accounts for 13% of global GDP yet remains one of the least technologically advanced sectors on earth. Projects run 20% over budget, 80% are delivered late, and productivity has barely improved in fifty years.

$1.6T

wasted globally each year

Rework, inefficiency and poor quality across a $13.5 trillion industry.

38

fatal site accidents a day

Construction records the highest workplace fatality count of any Indian sector.

20%

average budget overrun

And 80% of projects are delivered late. Material wastage runs 15–25%.

59%

of India is earthquake-prone

Only 2% of the construction workforce has formal training.

Landslide debris covering a mountain road beside a steep slope

Module 13 · Landslide Prediction

A landslide kills because nobody correlated the rainfall with the slope stability in real time.

15% of world landslide deathsHours to weeks of warning

Platform architecture

Five tiers, from the sensor to the screen

A microservices platform on Indian cloud infrastructure with edge computing for real-time site monitoring. Every reading, frame, design change and estimate is stored with full provenance — who made it, when, from what source, using which model version.

  1. Tier 1

    Perception Layer

    Cameras, drones, satellites, IoT and custom BuildMore sensors collecting raw data from the physical world.

  2. Tier 2

    Edge Processing Layer

    On-site gateways performing initial processing, compression and time-critical inference — real-time response even with limited connectivity.

  3. Tier 3

    Cloud Intelligence Layer

    All 34 modules run here, turning perception data into insights, predictions and recommendations.

  4. Tier 4

    Knowledge Layer

    BuildMore LM, the IS code database, cost intelligence and structural health history. The layer that makes the platform smarter over time.

  5. Tier 5

    Application Layer

    Web dashboards, mobile apps, API endpoints, voice interfaces for site use and AR overlays for field inspection.

Core principles

Predict, don’t just react

Reactive engineering kills people. Predictive engineering saves them. Six principles shape every module in the platform.

01

Automate everything repeatable

Any civil engineering process that follows rules, standards or patterns can and should be automated — manual IS code checking, manual quantity take-offs, manual progress tracking.

02

Build what doesn't exist

Where existing sensors or tools are insufficient, we design and manufacture our own. The BuildMore Sensor OS is not an afterthought — it is a core competitive advantage.

03

Predict, don't just react

Reactive engineering kills people. Predictive engineering saves them. Every module is designed to see a problem before it becomes an emergency.

04

Indian-first, global-ready

Built for IS codes, Himalayan seismicity, Western Ghats landslides, monsoon damage and local materials — with a configurable compliance engine for global deployment.

05

Data sovereignty

All data generated on Indian projects stays in India, on Indian cloud infrastructure. Critical infrastructure data is never stored on foreign servers.

06

Open module architecture

Each module works standalone and can be bought separately. Connected to the platform, they share data and amplify each other exponentially.

What makes it different

No single platform integrates all of this

There are cost estimation tools. There are analysis packages, construction cameras and monitoring companies. There is no unified intelligence system — one data model running from the first CAD line to fifty years of structural health.

End-to-end integration

From the first CAD drawing to fifty years of structural health monitoring — one platform, one data model, one intelligence layer. A design decision in Module 1 flows through cost, procurement, site monitoring and lifetime health.

Custom hardware

No dependence on expensive third-party sensors built for other industries. Construction-specific sensors, ruggedised and affordable, integrated with the AI platform from the hardware level up.

Proprietary LM

BuildMore LM is not a generic model with a construction prompt. It is trained on IS codes, structural engineering textbooks, construction management literature and millions of project documents.

Indian engineering DNA

Not a Western product localised for India. Every module understands IS codes natively, every sensor is designed for Indian weather extremes, every cost database starts with Indian rates.

Built and running today · free tier

Two products already shipping. Free.

The 34-module platform is a four-year build. These two are real code running now — one for executing projects on site, one for deciding whether the ground is safe to build on at all — and both are free to use. See pricing for the full platform.

ConstructOS

Construction management & site operations

Live · free tier

BuildMore ends at the estimate. ConstructOS is the layer where that estimate becomes a live project — the system of record for execution: who worked, what was built, what was consumed, what was spent, what was certified. Actuals flow back into the estimator, closing a loop no standalone construction-management product can replicate.

  • 10 modules from project management and site operations to RA billing, quality & safety and the client portal
  • Offline-first capture — the mobile surface keeps working with no connectivity at the point of capture
  • Capability-based RBAC across nine roles, enforced workflow state machines and an append-only audit trail
  • React + FastAPI + PostgreSQL, multi-tenant with a tenant-scoped JSONB entity store
Open ConstructOS

RiskViz

Offline-first geospatial risk intelligence

Live · free tier

RiskViz analyses any location using satellite imagery, terrain models, geological datasets and historical records to determine whether it is safe and suitable for investment — for real estate investors, infrastructure companies, banks, insurers and government agencies.

  • Five scored risk layers — terrain, flood, earthquake, landslide and soil/construction — on real GDAL and GeoPandas processing
  • Polygon AOI assessment with sample-grid, worst-case aggregation, plus a plugin system for third-party risk models
  • Satellite change detection over real Sentinel-2 NDVI, and a local LLM that narrates the assessment's own data
  • Runs with zero internet access and no API keys — a bundled offline demo dataset ships with it
Open RiskViz

Where the platform runs

From the pour to the glacier

Steel structure under construction with a tower crane overhead
Modules 5–8Cameras and drones turn the live site into activity, progress and PPE compliance.
Workers tying steel reinforcement bars over a concrete slab
Modules 9–12Sensors cast into the pour track carbonation and corrosion for a hundred years.
Glacial lake with icebergs below snow-covered mountains
Module 27Satellite imagery watches glacial lakes for outburst floods above Himalayan routes.

The vision

A world where no structure fails unexpectedly, no construction worker dies from a preventable accident, no project exceeds its budget by more than 5%, and no natural disaster catches infrastructure unprepared.