Dust vs Google Vertex AI
Side-by-side comparison of AI visibility scores, market position, and capabilities
Paris-based AI assistant platform for teams; raised $21.5M total (Sequoia-led); hit $7.3M ARR with 66-person team; connects company data to LLMs securely
About
Dust is a Paris-based enterprise AI assistant platform founded to help teams connect their internal knowledge and data to large language models in a secure, governed way. The company was founded by former Stripe engineers who saw that the core challenge in deploying AI at work was not the model itself but the data integration layer — making company knowledge accessible to AI without creating security and compliance risks. Dust's platform allows organizations to connect data sources like Notion, Slack, GitHub, Google Drive, and custom internal tools into a unified knowledge layer that powers AI assistants tuned for the company's specific context.\n\nDust's product enables teams to build and deploy custom AI agents — internally called "assistants" — that can answer questions, summarize documents, draft communications, and complete workflows using the company's proprietary data. The platform includes role-based access controls, ensuring that AI assistants only surface information appropriate for the requesting user's permissions. Customers use Dust to replace fragmented AI experiments across different departments with a centralized, IT-governed deployment that scales across the organization.\n\nDust raised $21.5M in total funding, including a Sequoia-led round, and reached $7.3M ARR with a 66-person team — a capital-efficient growth profile that reflects the founders' engineering discipline. The company competes in the enterprise AI assistant market against Microsoft Copilot, Glean, and Notion AI, differentiating through its developer-friendly customization, European data residency options, and focus on mid-market companies that need enterprise-grade governance without the complexity of large-company deployments.
Google Cloud (GOOGL) unified ML platform with Gemini access, AutoML, and 150+ foundation models in Model Garden; competing with AWS SageMaker and Azure ML for enterprise AI development infrastructure.
About
Google Vertex AI is Google Cloud's unified machine learning platform — providing end-to-end infrastructure for building, training, deploying, and monitoring ML models and generative AI applications, integrating Google's pre-trained models (Gemini, PaLM, Imagen), AutoML capabilities, custom training infrastructure, and the Model Garden (a catalog of 150+ foundation models) into a single managed platform. Part of Google Cloud (NYSE: GOOGL), Vertex AI serves data scientists, ML engineers, and enterprise AI teams that want to build production AI on Google's infrastructure.
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