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Expanso

Expanso offers an open-source platform, Bacalhau, that enables computational tasks to be executed directly at the data source, whether in the cloud, on-premise, or at the edge. This approach minimizes data movement, enhances security, and improves compliance with data governance regulations while reducing infrastructure costs.

Seattle, United StatesFounded 2023111K+ followers
Updated 4 months ago

Funding

$7.5M 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

The increasing volume of data generated outside traditional data centers, coupled with growing data regulations and security demands, makes it challenging and costly for organizations to manage and process data effectively. Moving data to centralized locations for processing introduces latency, increases costs, and raises concerns about data sovereignty and governance.

Solution

Expanso offers Bacalhau, an open-source, distributed computing platform that enables computational tasks to be executed directly at the data source, whether in the cloud, on-premise, or at the edge. This approach minimizes data movement, reduces latency, enhances data security, and improves compliance with data governance regulations. Bacalhau provides a unified user experience across diverse compute environments, allowing users to seamlessly orchestrate and execute computations from local development machines to decentralized networks. By bringing compute to the data, Expanso optimizes existing resources, delivers cost-effective solutions, and empowers organizations to gain real-time insights while maintaining full control over their data.

Target Audience

Expanso targets organizations dealing with large volumes of data generated in distributed environments, including those in energy, automotive, financial services, public sector, manufacturing, healthcare, and retail industries.

Features

  • Universal compute platform supporting multi-cluster and multi-device environments
  • Hardware and environment agnostic, working seamlessly across cloud, on-premise, and edge deployments
  • Granular control over data flows, enhancing data governance and ensuring compliance
  • Automated failure recovery, maintaining uptime and reliability without intervention
  • Simple, self-service UI for easy access and use of cluster resources
  • Support for hybrid and multi-cloud compute deployments
  • Integration with existing infrastructure, minimizing the need for new hardware investments
This profile is AI-generated and may contain inaccuracies.