NinjaTech AI Launched Ninja Enterprise Platform
The company introduced a fixed-fee service for businesses to deploy AI agents in cloud environments.
Updated on Sept. 28, 2026 in Artificial Intelligence

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NinjaTech AI has launched Ninja Enterprise, a service that bundles AI agents and graphics processing units (GPUs) into a predictable yearly billing model. The platform allows organizations to host AI employees in dedicated cloud environments without token-based costs.
Why it matters
The company aims to eliminate the financial uncertainty of token-based AI pricing, which has often hindered corporate adoption after initial testing phases. By providing fixed costs, the service encourages broader implementation of AI agents across enterprise workflows.
The platform offers packages designed for 100, 500, or 1,000 AI employees, with infrastructure supported by Microsoft, Fireworks AI, and Amazon Web Services. It also features an air-gapped version for deployment on customer-supplied hardware.
The players
NinjaTech AI
This company develops enterprise-focused artificial intelligence solutions and was founded in 2022.
Infosys Ltd
This multinational information technology firm acts as the exclusive professional services partner for the Ninja Enterprise platform.
Optimum Healthcare IT
This organization specializes in healthcare information technology and provides integration services for healthcare clients.
The details
Customers access these AI agents through Slack and Microsoft Teams to integrate them into daily operations. Integration services are provided by Infosys Ltd for general corporate clients and Optimum Healthcare IT for those in the healthcare sector.
Timeline
NinjaTech AI was co-founded in 2022.
Infosys invested in the company and signed a partnership agreement in August 2026.
Ninja Enterprise officially launched on September 28, 2026.
The Tech Race
This platform reflects the ongoing transition from experimental AI prototyping toward stable, predictable corporate infrastructure. It directly competes with high-cost frontier model deployments by prioritizing cost-efficiency and data security for enterprise users.
Employees at client companies will interact with AI agents directly through their existing communication tools like Slack and Microsoft Teams. Organizations gain the benefit of advanced automation without the risk of fluctuating costs associated with traditional token-based consumption models.
The takeaway
Companies looking to scale AI adoption can benefit from moving away from volatile usage-based pricing in favor of subscription-based models. This shift allows businesses to better forecast their technology budgets while maintaining control over data security.
Further reading
For more information on the current landscape of Artificial Intelligence, visit our dedicated industry section.
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