About Tensor9

Tensor9 provides a Digital Twin technology that allows software and AI vendors to deploy their applications within customer environments, ensuring sensitive data remains on-premise or in the cloud of their choice. This approach addresses data privacy concerns by enabling compliance with regulations like GDPR while maintaining the efficiency of existing software stacks without requiring code changes.

```xml <problem> Software and AI vendors face challenges deploying applications in customer environments due to data privacy concerns and regulatory compliance requirements like GDPR. Customers increasingly demand control over their data, hindering SaaS adoption and creating sales obstacles for vendors. Traditional SaaS models often require data to be moved or centralized, increasing risk and complexity. </problem> <solution> Tensor9 offers a Digital Twin technology that enables software and AI vendors to deploy their applications within customer environments, ensuring sensitive data remains on-premise or in the cloud of their choice. This "Any-Prem" approach allows vendors to provide a Private SaaS solution, replicating their entire software and infrastructure stack to the customer's environment without requiring code changes. By giving customers control over their data and infrastructure, Tensor9 facilitates compliance with data residency requirements and unlocks sales to enterprise and regulated customers. The platform supports deployment across various environments, including AWS, Azure, GCP, on-premise, and even air-gapped networks, while maintaining seamless replication and data integrity. </solution> <features> - Digital Twin technology for seamless replication of the vendor's software stack - Multi-cloud support for AWS, GCP, and Azure, as well as on-premise and air-gapped deployments - No code changes required for integration with existing software stacks - Automated deployment and configuration for instant setup - Continuous updates to maintain consistency across customer environments - Real-time monitoring and analysis of application performance across all deployments - Support for Docker, Kubernetes, Node.js, Python, Terraform, and CloudFormation - Compatibility with databases such as MySQL, PostgreSQL, Snowflake, and Redis </features> <target_audience> The primary target audience includes software and AI vendors, particularly those selling to enterprise clients and regulated industries, who need to address data privacy and compliance concerns to close deals. </target_audience> ```

What does Tensor9 do?

Where is Tensor9 located?

Tensor9 is based in East New York, United States.

When was Tensor9 founded?

Tensor9 was founded in 2023.

Location

East New York, United States

Founded

2023

Employees

9 employees

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Tensor9

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Executive Summary

tensor9.com 100+

Founded 2023 – East New York, United States

Funding

No funding information available.

Team (5+)

No team information available.

Company Description

Problem

Software and AI vendors face challenges deploying applications in customer environments due to data privacy concerns and regulatory compliance requirements like GDPR. Customers increasingly demand control over their data, hindering SaaS adoption and creating sales obstacles for vendors. Traditional SaaS models often require data to be moved or centralized, increasing risk and complexity.

Solution

Tensor9 offers a Digital Twin technology that enables software and AI vendors to deploy their applications within customer environments, ensuring sensitive data remains on-premise or in the cloud of their choice. This "Any-Prem" approach allows vendors to provide a Private SaaS solution, replicating their entire software and infrastructure stack to the customer's environment without requiring code changes. By giving customers control over their data and infrastructure, Tensor9 facilitates compliance with data residency requirements and unlocks sales to enterprise and regulated customers. The platform supports deployment across various environments, including AWS, Azure, GCP, on-premise, and even air-gapped networks, while maintaining seamless replication and data integrity.

Features

Digital Twin technology for seamless replication of the vendor's software stack

Multi-cloud support for AWS, GCP, and Azure, as well as on-premise and air-gapped deployments

No code changes required for integration with existing software stacks

Automated deployment and configuration for instant setup

Continuous updates to maintain consistency across customer environments

Real-time monitoring and analysis of application performance across all deployments

Support for Docker, Kubernetes, Node.js, Python, Terraform, and CloudFormation

Compatibility with databases such as MySQL, PostgreSQL, Snowflake, and Redis

Target Audience

The primary target audience includes software and AI vendors, particularly those selling to enterprise clients and regulated industries, who need to address data privacy and compliance concerns to close deals.