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Heureka Software

Heureka offers a proprietary indexing and classification platform that enables organizations to efficiently retrieve and manage unstructured data from various endpoints, file shares, and cloud storage. This technology addresses the challenge of accessing critical data necessary for training enterprise large language models, while ensuring compliance and reducing operational risks.

Cleveland, United StatesFounded 20144300+ followers
Updated 20 months ago

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.

Funding rounds are not available yet.

Founders

Product

Problem

Organizations struggle to efficiently search and manage unstructured data residing on various endpoints, file shares, and cloud storage, hindering their ability to leverage this data for critical tasks. The difficulty in accessing relevant data from disparate sources poses challenges for training enterprise large language models (LLMs) and maintaining compliance with evolving data governance regulations.

Solution

Heureka offers an indexing and classification platform that provides organizations with rapid visibility into and access to unstructured data, enabling them to efficiently retrieve and manage information across the enterprise. The platform indexes data "in the wild" from endpoints, file shares, and cloud storage, allowing for the operationalization of daily retrieval based on defined criteria. By classifying endpoint data, Heureka facilitates the automatic updating of LLMs and pre-processes data to filter out redundant, obsolete, and trivial information.

Target Audience

The primary target audience includes enterprises dealing with large volumes of unstructured data, particularly those focused on leveraging LLMs, ensuring data governance, and reducing risks associated with sensitive information.

Features

  • Indexing and classification of unstructured data across endpoints, file shares, and cloud storage
  • Data retrieval from endpoints to feed large language models
  • Automated classification of endpoint data to drive API updates for LLMs
  • Pre-processing filters to remove redundant, obsolete, and trivial data
  • Scalability to support thousands of endpoints and large file shares globally
  • Real-time data access and intelligence for managing data
  • Automated tools to proactively mitigate risk, ensure governance and compliance, and reduce litigation costs
This profile is AI-generated and may contain inaccuracies.