Sanalabs vs Adept 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.

Adept builds agentic automation that watches how you work in the browser and repeats multi-step software workflows on command. You teach actions in plain language, and Adept's models translate them into repeatable agents for spreadsheets, CRMs, and internal web apps.

Compared with brittle RPA macros, Adept's Workflow Language composes multimodal web interactions on top of its own models, so agents adapt when layouts shift instead of breaking on every UI tweak. Amazon licensed Adept technology in 2024, but Adept continues as an independent company focused on enterprise agents.

Operations teams, revenue ops analysts, and product engineers use Adept to offload repetitive browser work without maintaining a separate macro script library.