Zequent builds infrastructure to help engineering teams reliably build and run mission-critical autonomous systems at scale in production. Think Kubernetes — but for autonomous systems running in the real world.

Until now, teams building and operating autonomous systems have been forced to glue together fragmented, black-boxed software systems with duct tape, hope, and a prayer. It’s messy. It’s stressful. And it definitely doesn’t scale.

Slow and error-prone hardware onboarding, frustrating vendor SDKs that behave differently after every update, fragile runtimes that crash at the worst moments, messy communication layers, baked-in automation logic, hard-to-integrate AI services, and observability gaps that turn every incident into a firefight.

Managing all of this separately wastes months, adds hidden risks, kills the budget and probably costs hard-earned reputation.

Zequent solves these headaches (and more) in an integrated, open platform that ensures reliability, operational safety and scalability for autonomous systems in production, with modular control, data, execution, and runtime layers.

At its core, Zequent provides the shared system services every autonomous system needs: real-time data ingestion and streaming, remote tasking and control, automation, AI workloads, secure edge-to-edge / edge-to-fusion communication and production-grade observability — across drones, robots, vehicles, and connected machines.

Zequent can be deployed in the cloud (EU/US) or fully air-gapped on-prem. Both versions are GDPR-ready and engineered to government-grade security standards.

We started Zequent during a NATO software project in 2024. Within months, we sold our first production features to multiple national security agencies.

With growing users, strong partnerships and great engineers, we're are focused on becoming the core infrastructure for autonomous systems.