Hebbia

About Hebbia

Hebbia is an AI-powered platform designed to streamline knowledge work, particularly within finance, law, and corporate settings [1](https://www.hebbia.com/)[2](https://www.hebbia.com/product)[5](https://www.linkedin.com/company/hebbia). Its core purpose is to help professionals quickly extract insights and actionable intelligence from substantial volumes of data, regardless of format [4](https://www.getguru.com/reference/what-is-hebbia)[9](https://research.contrary.com/company/hebbia)[11](https://www.clio.com/blog/hebbia-ai/). Its flagship product, Matrix, orchestrates AI agents to handle complex, multi-step workflows [5](https://www.linkedin.com/company/hebbia)[6](https://www.linkedin.com/company/hebbia)[8](https://www.linkedin.com/company/hebbia). Hebbia functions as a knowledge search and analysis platform, employing semantic search to uncover relevant information even in unstructured data like PDFs and spreadsheets [4](https://www.getguru.com/reference/what-is-hebbia). The platform aims to reduce the time knowledge workers spend searching for and synthesizing information [9](https://research.contrary.com/company/hebbia)[12](https://research.contrary.com/company/hebbia). Key features of Hebbia's Matrix platform include the ability to execute complex, multi-step workflows, process various data types with an effectively infinite context window, and provide total transparency through traceable AI actions [2](https://www.hebbia.com/product). It prioritizes enterprise security, adhering to standards like SOC2 I, SOC2 II, GDPR, and CCPA, with data encrypted in transit and at rest, and does not train its models on user data [2](https://www.hebbia.com/product). Matrix also integrates various AI models, including text-based LLMs and vision models, automatically selecting the most appropriate model for each task, and continuously learns and adapts to user workflows [2](https://www.hebbia.com/product). Hebbia has applications across finance, law, and corporate sectors [1](https://www.hebbia.com/)[2](https://www.hebbia.com/product)[6](https://www.linkedin.com/company/hebbia). In finance, it can analyze earnings calls, track competitors, conduct due diligence, and build financial models [1](https://www.hebbia.com/)[2](https://www.hebbia.com/product)[6](https://www.linkedin.com/company/hebbia). In law, it streamlines due diligence, reviews contracts, summarizes depositions, and researches precedents [1](https://www.hebbia.com/)[2](https://www.hebbia.com/product)[6](https://www.linkedin.com/company/hebbia). For corporate functions, it assesses new opportunities, manages RFPs, analyzes customer contracts, and supports various corporate development initiatives [1](https://www.hebbia.com/)[2](https://www.hebbia.com/product)[6](https://www.linkedin.com/company/hebbia). Hebbia distinguishes itself through its focus on handling complex, multi-step workflows, seamless integration of multiple AI models, and adaptability to individual user workflows [2](https://www.hebbia.com/product)[9](https://research.contrary.com/company/hebbia). Its emphasis on security and commitment to not training on user data also set it apart [2](https://www.hebbia.com/product). While specific technical specifications are not detailed, the platform's ability to process large data volumes and complex workflows suggests robust infrastructure. While specific integrations are not listed, its functionality suggests compatibility with various data sources and systems [2](https://www.hebbia.com/product). Hebbia has been featured in Forbes and Fast Company [5](https://www.linkedin.com/company/hebbia)[7](https://www.linkedin.com/company/hebbia), included in Forbes' AI 50 list [5](https://www.linkedin.com/company/hebbia), and is an official Harvard Business School case study [5](https://www.linkedin.com/company/hebbia). Recently, Hebbia secured a $130 million Series B funding round [13](https://www.linkedin.com/company/hebbia) and has increased query throughput [6](https://www.linkedin.com/company/hebbia).

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