Building the Intelligence Layer for Construction
Construction Intelligence
From the Ground Up
We don't just apply generic AI. We build the core technology stack— Knowledge Graphs, Digital Twins, and Domain-Trained Foundation Models.
Seven Pillars of Construction Intelligence
A unified intelligence architecture powering the next generation of construction.
The BIMSaarthi
Indian Structural Codes, Made Machine-Executable
Vidhi converts India's structural design codes — IS 456, IS 800, IS 1893, IS 13920 and 11 more — into a queryable, executable knowledge graph. Engineers run clause-cited compliance checks and download calculation sheets showing every formula with values substituted.
VAULT
The document layer. Source IS code PDFs with their full amendment history, processed by a vision-AI extraction pipeline that reads even scanned, image-only standards documents.
CODEX
The structured knowledge graph. Every clause is captured with its formula, variable definitions, cross-references and supersession links — so the design authority chain across codes is machine-traversable.
AI_Structure
The compliance engine. 536 callable clause checks across 9 structural check types — from RC beams to wind loads — each returning pass/fail, utilisation ratio and the governing clause.
Vidhi is an internal R&D platform in engineer-validation phase. Pilot collaborations with structural engineering firms are planned.
No other tool in the Indian market combines clause-cited IS-code checking with auto-generated calculation sheets.
Built on Peer-Reviewed Ontologies
BIMSaarthi's products stand on peer-reviewed, published ontologies — academic priority that competitors cannot shortcut.
IproK
Published · IJCM 2025OWL 2 DL ontology covering all 10 PMBOK knowledge areas plus 8 India-specific construction processes — a peer-reviewed semantic backbone for project management knowledge.
BIMOnto
Published · ITcon 2025Semantic BIM bridge linking IFC building elements to project data, so models and management information speak the same machine-readable language.
SUTRA
Provisional Patent Filed212-class semantic urban twin reference architecture powering HDTP — a formal vocabulary for representing cities, infrastructure and their live data streams.
Open-core approach: ontologies published for academic use; platform implementations proprietary.
How We Build
Deep Intelligence
Generic AI doesn't understand construction. We train our models on a structured stack of domain knowledge, ensuring they understand the difference between a "beam" in software and a "beam" in concrete.
Compliance Across Every Stage
Compliance is not a checklist. It is a continuous process that must adapt as projects evolve, ensuring every deviation is recorded.
Planning
- Zoning Validation
- FAR/FSI Calc
- Env. Clearances
Design
- Structural Codes
- Fire & MEP
- Sustainability
Construction
- Quality Inspections
- Safety Audits
- Material Testing
Handover
- Occupancy Cert
- As-Built Docs
- Utility Approvals
Operations
- Fire Renewals
- Structural Audits
- Insurance
Auditable AI for Public Procurement
ProcureAI extends BIMSaarthi's tender intelligence to the government side of the table — a multi-agent platform for the public procurement lifecycle, grounded in a curated knowledge base of canonical procurement rules and designed for on-premise, sovereign deployment.
Tender Drafting
AI-assisted drafting grounded in canonical procurement rules, with human-in-the-loop review gates at every step.
Validation & Evaluation
Pre-publication document validation and structured bid evaluation with citation-backed, auditable findings.
Telugu-First Access
Bidder-facing assistance designed Telugu-first — lowering the language barrier in public procurement.
Audit by Design
Hash-chained audit logging and citation-enforced answers, built for the audit standards of public finance.
ProcureAI is a technology demonstration developed through BIMSaarthi's R&D program. It is not yet in production use; pilot conversations with government stakeholders are in preparation.
Our Roots
Academic & Research Affiliations
Institutions where our team's research background was built.
Innovation Roadmap
The path to enterprise-grade construction intelligence.
Ontology v2 & Tender RAG
Advanced semantic reasoning and document intelligence pipelines.
Predictive AI & Digital Twin MVP
Real-time sync and cost/schedule risk prediction.
Foundation Model Beta
First release of construction-specific LLMs and APIs.
Enterprise Deployments
Full-scale government integrations and enterprise rollout.