Devgraph.ai (Arctir, Inc.)

Engineering teams rely on many disconnected tools such as GitHub, Jira, Slack, PagerDuty, and Kubernetes, and today they must tab-switch between them to answer basic questions about ownership, dependencies, and deployment. This makes onboarding new engineers slow, often described as archaeology, since answers about who owns a service or what it depends on are scattered across systems. It also means changes can break dependent services unexpectedly, leading to surprise late-night pages. Tribal knowledge from discussions in Slack is disconnected from the code and tickets it relates to, and documentation in wikis tends to go stale. AI tools themselves also cannot understand a company's actual running systems without this context.

Devgraph connects to a company's existing developer tools, including GitHub, GitLab, Jira, Vercel, Kubernetes, Argo, FOSSA, Grafana, Slack, and PagerDuty, and automatically builds a live ontology mapping relationships between code, infrastructure, and teams. Users can search once across this unified ontology instead of switching between separate tools, and can see which services depend on a given change, which teams need alerts, and what might break before deploying. It surfaces decisions buried in Slack and links them to related code and tickets, and provides real-time contextual documentation instead of outdated wikis. Devgraph is model-agnostic, supporting major LLM providers like OpenAI, Anthropic, and xAI, as well as self-hosted or air-gapped Ollama deployments, letting teams control cost, privacy, and performance while keeping data and models on their own infrastructure. A flexible API allows custom integrations beyond the built-in connectors.