Diagrid is a US-based enterprise software company founded in 2022 by Mark Fussell and Yaron Schneider, co-creators of the open-source Distributed Application Runtime (Dapr). The company develops cloud infrastructure for distributed applications, durable workflows, and autonomous AI agents. Its Catalyst platform provides automatic failure recovery, workflow orchestration, cryptographically verifiable execution, service identity, access controls, and operational monitoring. Catalyst supports major AI agent frameworks and deployments across managed cloud, customer-managed infrastructure, Kubernetes, and air-gapped environments. Diagrid also provides the Dapr Ops Dashboard, development tools, and enterprise support for Dapr. Its customers include enterprise application developers and platform engineering teams in industries such as financial services, healthcare, automotive, and technology. Its products help organizations reduce distributed systems complexity, prevent workflow failures, and manage production applications and AI agents reliably.View more
Diagrid is a US-based enterprise software company founded in 2022 by Mark Fussell and Yaron Schneider, co-creators of the open-source Distributed Application Runtime (Dapr). The company develops cloud infrastructure for distributed applications, durable workflows, and autonomous AI agents. Its Catalyst platform provides automatic failure recovery, workflow orchestration, cryptographically verifiable execution, service identity, access controls, and operational monitoring. Catalyst supports major AI agent frameworks and deployments across managed cloud, customer-managed infrastructure, Kubernetes, and air-gapped environments. Diagrid also provides the Dapr Ops Dashboard, development tools, and enterprise support for Dapr. Its customers include enterprise application developers and platform engineering teams in industries such as financial services, healthcare, automotive, and technology. Its products help organizations reduce distributed systems complexity, prevent workflow failures, and manage production applications and AI agents reliably.