Hebbia is a generative AI platform for finance, law, and enterprise domains. Its core product Matrix enables natural language queries to search and analyze vast volumes of unstructured documents, delivering precise answers and deep insights.
Hebbia primarily serves finance (e.g., investment banking, hedge funds), legal, and enterprise customers who deal with large volumes of complex documents, offering customized industry solutions.
Yes, the Hebbia platform complies with strict security and privacy standards such as SOC 2, GDPR, and CCPA. Data is encrypted in transit and at rest, and the platform commits not to use user data for training models.
Hebbia is designed for handling professional, multi-step, complex tasks. It can analyze vast document collections that exceed typical context lengths and provide verifiable, high-accuracy answers, reducing AI hallucinations.
You can schedule a product demonstration on the official website, view pricing plans, or contact sales. The platform offers out-of-the-box enterprise-grade services, without requiring internal development or model fine-tuning.
Harvey AI is a generative AI platform built for the legal sector, designed to streamline complex tasks such as legal research, drafting, and reviewing, helping lawyers, law firms, and corporate legal teams boost efficiency and professionalism.
Humata AI is an AI-powered document analysis and knowledge management platform that helps users quickly process, summarize, and analyze documents in multiple formats, including PDFs and Word. Users can ask questions in natural language and receive precise, source-backed answers from their own documents, suitable for research, legal, business analysis, and other professional contexts.
