Maket vs OpsLevel
Side-by-side comparison of AI visibility scores, market position, and capabilities
AI floor plan generator for residential architecture. $3.4M CAD seed (Oct 2025). Zoning verification, HVAC, material takeoffs in v2. $30/month Pro plan.
About
Maket is an AI-powered architectural design platform founded to democratize floor plan creation for residential projects. Built for architects, developers, and homeowners, Maket's core technology uses generative AI to produce compliant, construction-ready floor plans in minutes rather than weeks. The platform secured $3.4M CAD in seed funding in October 2025, signaling strong early investor conviction in AI-driven architecture tooling.\n\nMaket's Pro plan ($30/month) gives users access to iterative floor plan generation, zoning code verification, HVAC layout suggestions, and material takeoff estimates introduced in v2. The platform is designed for residential architecture workflows, helping small firms and independent architects move from concept to permit-ready drawings without expensive CAD software or lengthy back-and-forth with engineers.\n\nWith its v2 feature set covering zoning, HVAC, and materials, Maket is positioning itself as a full pre-construction AI layer for residential development. The $3.4M CAD seed round in late 2025 validates its early traction among residential architects and design-build contractors seeking to compress project timelines and reduce soft costs in a capital-constrained housing market.
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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