Sanalabs vs Azure AI

Sana Labs builds enterprise AI tools for knowledge work and corporate learning under two products: Sana for AI agents across your company apps, and Sana Learn for training and onboarding. The Stockholm-based company now operates as part of Workday after its acquisition.

Where most enterprise AI vendors bolt a chatbot onto existing software, Sana connects to your company's documents, apps, and workflows so agents can find answers, generate reports, and automate multi-step processes. Sana Learn replaces a patchwork of LMS, LXP, and authoring tools with one platform that creates courses from PDFs and gives each learner a personal tutor.

The platform targets large organizations in financial services, law, manufacturing, and tech. Spotify, Polestar, and Foodora are among the customers cited on the site, with case studies reporting 10 hours saved per employee per week and course creation dropping from 3 weeks to 3 hours.

Azure AI bundles Microsoft's cloud services for building apps and agents on one enterprise platform. You get Microsoft Foundry for model catalogs, agent orchestration, and governance, plus databases like Cosmos DB and PostgreSQL, Kubernetes hosting, and GitHub Copilot hooks across the software lifecycle.

Compared with stitching together separate model APIs and hosting stacks, Azure AI sells the full loop: pick from more than 11,000 Foundry Models, wire retrieval and actions through Foundry IQ, trace multi-agent workflows, and layer Content Safety guardrails before production. Customer stories on the site highlight regulated deployments where observability matters as much as model choice.

Enterprise developers, platform teams, and data scientists use it for customer-facing agents, process automation, employee copilots, and research workloads. Pay-as-you-go billing applies after optional free credits, and the marketing site points to a 30-day trial path for new Azure accounts.