APIs, Not Just Ideas: Persistent Systems And Kong Team Up To Get AI Into Production Faster

Persistent Systems has announced a strategic partnership with API management company Kong, aimed at helping enterprises move artificial intelligence from lab experiments into stable, scalable production systems. The collaboration focuses on combining Persistent’s AI and engineering capabilities with Kong’s API and gateway stack so organisations can safely expose, govern and monitor AI services in real-world environments.

Why This Partnership Matters For Enterprise AI

Most large companies now have proofs of concept for AI, but struggle to deploy models at scale across business lines, regions and legacy stacks. This tie-up is designed to address exactly that gap. Persistent brings experience in building and integrating AI-driven applications, while Kong specialises in secure API gateways, service meshes and traffic control. Together, they want to make it easier to plug AI models into existing digital platforms, enforce policies and observe performance in production, rather than leaving AI trapped in isolated pilots.

From AI Models To Production-Grade Services

The joint offering will likely centre on using Kong’s API platform as the control layer through which AI services are exposed to internal and external consumers. That includes versioning, rate limiting, authentication, observability and routing between different model endpoints. Persistent can then layer in data pipelines, MLOps practices and domain-specific use cases on top. For clients, the promise is a more predictable path from experimental AI models to production-grade, monitored and governed AI services that can be consumed via APIs by apps, workflows and partner ecosystems.

AI Deployment Highlights

• Strategic partnership between Persistent Systems and Kong focused on AI in production
• Kong’s API and gateway stack positioned as the control plane for AI services
• Persistent expected to provide AI engineering, integration and MLOps capabilities
• Goal is to help enterprises move from pilots to scalable, governed AI deployments
• Focus on secure, observable APIs so AI can plug into existing digital and cloud platforms

Sources: Persistent Systems, Business Standard