Adept AI vs Amazon Bedrock

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.

Amazon Bedrock lets AWS customers build generative AI applications and agents in production by calling foundation models from Anthropic, Meta, Mistral, Amazon Nova, OpenAI, and dozens of other providers through one API. Teams layer on knowledge bases, guardrails, evaluation tools, and AgentCore to ship assistants without managing GPU infrastructure.

Unlike calling model APIs directly, Bedrock bundles model choice, RAG knowledge bases, safety guardrails, and cost controls like intelligent prompt routing and batch inference at 50% off on-demand rates. Distilled models can run up to 500% faster at 75% lower cost, which matters when you are serving regulated workloads that also need FedRAMP High and HIPAA eligibility on the same stack.

More than 100,000 organizations use it for copywriting, virtual assistants, document summarization, image generation, and workflow agents. Robinhood cited an 80% AI cost reduction after scaling token usage from 500 million to 5 billion daily on Bedrock. New AWS accounts can start with up to $200 in credits before paying per-token model rates.