Production platform for workflows and AI agents on Kubernetes
Diagrid runs a Kubernetes-native platform (Dapr, KEDA, Istio, Envoy) for deploying workflows and AI agents at scale. The company is actively expanding its LangGraph and agentic AI capabilities—two projects specifically target tooling for LLMs to interact with Dapr—while managing a steep reliability hill: nearly half their documented pain points center on AI agent stability and execution guarantees. Engineering-heavy hiring (10 of 11 open roles) and senior-skewed seniority mix signal a focus on hardening production systems rather than scaling sales.
Diagrid, founded in 2021 and based in Seattle, provides an enterprise platform for running mission-critical workflows and autonomous AI agents in production. The company maintains two products: Diagrid Catalyst, a managed workflow and agent platform, and Diagrid Enterprise, commercial support and tooling for the open-source Dapr project (which Diagrid's founders created). The platform sits on Kubernetes and integrates with AWS, GCP, and Azure, allowing teams to avoid building custom infrastructure for distributed system orchestration. Diagrid serves developer and enterprise audiences operating at scales where reliability, compliance, and multi-cloud support are non-negotiable.
Dapr (their own framework), Kubernetes, KEDA, Prometheus, Istio, Envoy, LangGraph, Python, plus AWS, GCP, and Azure for cloud infrastructure. Terraform for infrastructure-as-code.
Expanding Dapr's agentic AI framework, building LLM tooling for Dapr APIs, developing a Kubernetes-based cloud platform, customer onboarding, and upstream Dapr repository contributions.
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