MKA tests multimodal agents on complete professional deliverables
Google DeepMind introduced the Multimodal Knowledge Agent benchmark for end-to-end professional tasks that require reading visually dense inputs such as CAD drawings, schematics, radiographs, charts and maps, then producing standalone spreadsheet, presentation, document, PDF, HTML or image deliverables.
Why it matters: The benchmark evaluates the full handoff rather than an isolated answer: extraction, visual reasoning, synthesis and artifact creation. That structure is closer to how organizations accept or reject agent work, although benchmark scores still need task and…