

Construction claims and project controls rely on manual review of millions of documents spread across 50+ different platforms. Teams spend countless hours recreating project chronologies by manually reading through emails, RFIs, drawings, schedules, and reports stored in disconnected systems like Outlook, SharePoint, Procore, and various document control platforms.
Lupa automates the analysis of massive construction datasets (2-3 million documents per project), connecting fragmented data silos and providing AI-driven insights in minutes rather than months. It enables data to "speak" to users through contextual search, automated reporting, and intelligent document analysis.
The platform supports claims management and dispute resolution, provides live project controls and risk management, facilitates design change analysis and coordination, and enables forensic project analysis.
Capabilities, providing an immediate "Extract IQ Score" that shows data completeness and highlights any gaps. It generates comprehensive AI-driven narratives that clearly explain what happened on projects, while identifying key issues, critical timelines, responsible parties, and communication sentiment patterns. All insights link directly back to the original source documents for easy validation.

Breaks down entire projects into weekly data chunks. It automatically identifies and categorizes problems such as design conflicts, material delays, and quality issues, and provides real-time alerts for live projects. This enables precise, forensic week-by-week reconstruction of events — especially valuable for preparing and supporting claims.

Users can chat naturally with their project data. The AI assistant is fully aware of all project documents and communications, always providing direct source links for fact verification. It proves especially useful for preparing for negotiations and meetings by analyzing patterns in correspondence.

It goes far beyond simple keyword search. The system understands context (for example, searching for "material defects" will find all relevant issues), automatically tags documents against major contract provisions (FIDIC, AIA, and NEC), processes handwritten notes and scanned documents, and supports 115 languages — making it ideal for international projects.

Automatically compares thousands of drawings and creates clear visual overlays that precisely show what changed between revisions. It identifies unclouded design changes (which account for approximately 30% of typical changes) and provides AI-generated narratives explaining the real impact of each design modification.

Features include schedule analytics compatible with Primavera P6, Asta Powerproject, and Microsoft Project, as well as photographic analysis capable of detecting construction defects. The platform also offers deep research reports and intelligently applies RAG (Retrieval-Augmented Generation) technology tailored to different use cases.
Project Managers
Teams requiring detailed project insights and forensic analysis


Approximately 2 weeks to master all features
~5 minutes per gigabyte of data
As fast as internet connection allows
3-4 terabytes process in 3-4 days

80%+ reduction in document discovery and review time
1 million documents processed in under 2 hours
Hundreds of thousands of dollars saved per dispute
Early identification prevents costly escalation
80%+ shift from low-value tasks to high-value analysis
Cuts production time from weeks to hours

Series funding to accelerate growth
Leading technology investment fund

