Why Construction Projects Still Fail
Despite using BIM, 80% of projects run over budget. The problem isn't the model—it's the disconnection.
Isolated Data Silos
BIM data is locked in models, Schedule in P6, and Costs in Excel. They never talk to each other, creating blind spots.
Reactive Decisions
Project managers find out about delays and overruns weeks after they happen, making recovery impossible.
Missing Context
Existing tools don't understand project semantics—they see lines and geometry, not 'Columns' that impact 'Budget'.
"BIMSaarthi tells me where my project will fail before it fails."
That's not marketing. That's control.
Evidence-Based Progress
Truth you can prove: Every activity linked to photos, quantities, and 3D location. No more fake progress. No more billing disputes.
Knowledge Graph Intelligence
Instant causality: 'Which subcontractor is causing 60% of delays?' Your competitors need BI teams and weeks. BIMSaarthi knows instantly.
Predictive Risk Control
Foresight before failure: AI predicts delays, cost overruns, and bottlenecks per activity—before they cascade.
How We Compare
Where they excel: Workflow management, document control.
Where we dominate: Knowing why things fail before they fail.
| Capability | Autodesk ACC | Procore | InEight | BIMSaarthi |
|---|---|---|---|---|
| Data Model | Relational tables | Relational tables | ERP-style relational | Knowledge Graph (semantic) |
| BIM Integration | File-linked | File-linked | File-linked | Graph-linked objects & tasks |
| Progress Tracking | Percent complete | Percent complete | Manual/cost-based | Evidence + KG + 3D linked |
| Risk Detection | Reports & dashboards | Reports & dashboards | Rule-based | AI over Knowledge Graph |
| Visualization | 2D dashboards | 2D dashboards | 2D dashboards | Live 3D Digital Twin |
| Causality Analysis | ✗ (export to BI) | Instant KG queries | ||
| Predictive Delay Risk | Analytics-based | Marketplace apps | Integrated risk analysis | AI + KG with root cause |
Built for Enterprise Scenarios
Real challenges faced by Project Directors, PMCs, and EPC teams.
The Problem
"Block C is 3 weeks delayed. Which subcontractor? Which activities? What's the cascade impact on the critical path? What will it cost?"
BIMSaarthi Answer (in 30 seconds):
- MEP contractor, Activities M-207 to M-214
- Missing materials: 12 items, procurement delayed 2 weeks
- Critical path impact: 18 days
- Cost impact: ₹47 lakhs
- Recommended action: Expedite procurement, reallocate crew to Block D
One Platform. Total Control.
Seamlessly switch between data, models, and intelligence.
Data Ingestion
Upload your project files to initialize the Knowledge Graph.
How It Works
From raw files to intelligent decisions in four steps.
Import Data
Upload IFC models, P6 schedules, and Excel BOQs. System auto-extracts entities.
Build Graph
Our engine maps relationships (Task relies on Element, Element has Cost).
AI Analysis
Agents traverse the graph to find conflicts, risks, and optimization opportunities.
Actionable Insights
Get predictive alerts for delays and cost overruns before they happen.
Who Is This For?
Tailored intelligence for every stakeholder.
Project Managers
Gain predictive control over schedules and budgets. Eliminate surprises and report with confidence.
BIM Managers
Automate model validation and semantic enrichment. Turn static geometry into a queryable knowledge graph.
Construction Firms
Unify data across your portfolio. Reduce risk and improve margins with AI-driven insights.
Researchers
Leverage an ontology-driven platform (OWL 2) for advanced experiments in construction AI.
Baked by Research.
Validated by Industry.
BIMSaarthi isn't just a tool; it's a scientific approach to construction intelligence, grounded in Semantic Web technologies.
"The knowledge graph approach solves the interoperability problem fundamental to construction IT."
Ready to transform your project?
Join the waitlist for BIMSaarthi and start managing your construction projects with real intelligence.
Looking for academic partnership? Contact our research team.