Hebbia is a startup that uses generative AI to search large documents and return answers. The company recently received nearly $100 million in Series B funding led by Andreessen Horowitz. The financing brings the company’s valuation to $700 million to $800 million. Hebbia’s AI technology can browse billions of documents, including PDFs, PowerPoints, spreadsheets, and transcriptions in a short period of time and return specific answers. It is mainly aimed at financial services companies such as hedge funds and investment banks, but is also suitable for law firms and other professional fields.
Hebbia is widely used by large enterprises, financial institutions, governments and law firms to help them process and analyze massive amounts of data.
Main Features of Hebbia AI
1. Matrix AI Agent
Functionality: Matrix AI can answer questions about all your documents, up to millions at a time.
Advantages: Instead of relying on large language models (LLMs) that can only process one file at a time, or search systems that are limited to displaying a small number of results, Matrix AI provides more comprehensive and efficient document search and processing capabilities.
2. Workflow Execution
Functionality: Matrix AI is designed to execute complex workflows with hundreds of steps, regardless of the number of data sources.
Advantages: Converting user prompts into specific workflows greatly improves work efficiency and accuracy, allowing users to be more adept at handling large-scale data and complex tasks.
3. Trustworthy AI
Function: Matrix shows each step of the working process, and users can verify and trust every decision made by AI.
Advantages: Unlike other black-box systems, Matrix provides a high degree of transparency, allowing users to collaborate with AI with greater confidence, ensuring the reliability and verifiability of the results.
4. Multiple document type support
What it does: Hebbia’s AI can browse and analyze various types of documents, including PDFs, PowerPoints, spreadsheets, and transcriptions.
Advantages: It can process documents in various formats, making its application scope wider and meeting the needs of users in different fields.
5. Efficient data processing
Functionality: Ability to quickly process and analyze large volumes of documents and provide precise answers.
Advantages: It significantly saves users’ time on document search and data analysis, and improves work efficiency.
Hebbia was founded in 2020 by George Sivulka, who was pursuing a PhD in electrical engineering at Stanford University. Sivulka was inspired by his friends working in the financial industry who told him that part of their long work week was spent searching for information in SEC filings and other dense documents. Sivulka believed that artificial intelligence could help them save office time, giving them more time to rest and sleep.
The company says Hebbia’s AI can look at billions of documents simultaneously, including PDFs, PowerPoints, spreadsheets and transcripts, and return specific answers.
