This SaaS platform provides AI-driven eDiscovery data analytics specifically for the construction and legal industries. It helps users efficiently process, analyze, and manage large volumes of electronic data for litigation, investigations, and compliance.
Funding
$1.8M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
SCFounders
Product
Problem
Construction and legal industries face challenges in efficiently managing and analyzing the large volumes of electronic data generated during litigation, investigations, and project management. Existing eDiscovery processes can be time-consuming and costly, hindering timely decision-making and risk mitigation.
Solution
Lupa is a cloud-based SaaS platform that leverages AI to streamline eDiscovery and data mining for the construction and legal sectors. The platform facilitates data management through processing, mining, and classification, while expert analytics provide insights into documents, communications, drawings, schedules, and photographs. Lupa's AI capabilities enable semantic search, content summarization, sentiment analysis, and the generation of data-driven reports. This allows users to transform unstructured data into actionable intelligence, improving project control, claims management, and compliance efforts.
Target Audience
The primary target audience includes general contractors, in-house counsel, law firms, expert companies, developers, project managers, planners, contracts managers, commercial managers, and clients engaged in portfolio or mega-projects within the construction, infrastructure, legal, and related industries.
Features
- Data processing from third-party systems like Aconex, OneDrive, MS Exchange, P6, and Procore
- Drag-and-drop interface for uploading unstructured and semi-structured data to secure cloud servers
- Text clustering for similarity analysis at document, page, and sentence levels
- AI-driven data classification for automatic bulk-tagging of documents (contracts, meeting minutes, RFIs, drawings)
- Document analytics for sifting, sorting, tagging, and redacting data in over 20 languages
- Communication analytics for processing data from platforms like Outlook, Gmail, Teams, WhatsApp, Slack, and Viber, including textual and audio data
- Drawing analytics for automatic drawing register creation, text extraction, bulk drawing set comparison, and AI-generated design change narratives
- Schedule analytics for unlocking P6 and MS Project data and comparing multiple schedules simultaneously
- Photograph analytics with object segmentation, date extraction, and geotagged positioning
- Semantic search using keyword or context-based prompts with weighted suggestions and linked documentation
- Content summarization using construction-specific fine-tuned models
- Sentiment analysis with custom models to detect negative, neutral, or positive sentiments
- Data-driven reports exportable to Excel or Word, with in-platform dashboard-level reports, logs, and tag lists