DocQFact

Box Extract is an AI-powered data extraction solution that intelligently identifies, retrieves, and converts structured information from unstructured content such as documents, spreadsheets, PDFs, images, and other file types into metadata that can be stored, searched, and used to automate business processes. It combines advanced large language models, integrated OCR, chain-of-thought prompting, extraction-specific retrieval-augmented generation, and agentic reasoning techniques to understand document meaning and structure with high accuracy, without requiring custom model training or heavy configuration. Users can choose between Standard and Enhanced Extract Agents, handling everything from basic fields like names, dates, and amounts to complex items such as risky clauses, tables, and graphs, and build Custom Extract Agents with configurable metadata templates that run at scale across folders and repositories.

ContractPower is an AI-powered document intelligence platform built specifically for the renewable energy and infrastructure sectors, designed to streamline how professionals analyze, understand, and manage complex contracts and regulatory documents. It automates the review of large-scale agreements such as power purchase agreements (PPAs), interconnection agreements, tariffs, and operational contracts by extracting key compliance obligations, structuring them into actionable data, and generating concise, “cliff note” style summaries. It enables users to query across entire document sets using multi-document chat, providing real-time answers and connecting insights across thousands of pages of legal and regulatory text. By transforming unstructured contracts into standardized metadata, it allows teams to track obligations, compare terms across portfolios, and ensure nothing critical is overlooked, significantly reducing manual review time and reliance on institutional knowledge.