Adept AI vs Azure AI

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.

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.