Activepieces vs OpsLevel
Side-by-side comparison of AI visibility scores, market position, and capabilities
SF open-source AI-first workflow automation at $1.7M ARR Dec 2024 with 450+ integrations and self-hosted option; YC $1.55M competing with Zapier and n8n for compliance-conscious teams needing MCP/Claude/GPT-4 automation pipelines.
About
Activepieces is a San Francisco-based open-source workflow automation platform — backed by Y Combinator with $1.55 million raised from ByTheTower, Forward VC, Fundamental VC, Kima Ventures, and Soma Capital in November 2024 — providing teams with an AI-first business process automation alternative to Zapier, Make.com, and Workato through a self-hostable, MIT-licensed platform with 450+ integrations, native AI agent support (GPT-4, Claude, Model Context Protocol), and a managed cloud version. Founded in 2022 and reaching $1.7 million in annual revenue by December 2024 with a team of 11-19 employees, Activepieces has differentiated through its open-source model — allowing companies with data compliance requirements (GDPR, HIPAA, SOC 2) to run the entire automation infrastructure on their own servers rather than routing sensitive data through third-party SaaS automation platforms.
OpsLevel is a developer portal and service catalog for tracking service ownership, maturity scorecards, and production readiness across microservices.
About
OpsLevel is a developer portal platform that gives engineering organizations visibility into the services they operate, who owns them, and how mature they are relative to internal engineering standards. At its core, OpsLevel maintains a service catalog that maps every microservice, repository, and infrastructure component to a team owner, populating metadata automatically from integrations with GitHub, GitLab, PagerDuty, Datadog, and cloud providers. This catalog becomes the authoritative source of truth for answering questions like who to contact about a service, what tier of reliability it requires, and what dependencies it has — questions that are often unanswerable at engineering organizations that have grown past the point where everyone knows everything.
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