Adept
Enterprise AI agents that automate complex software workflows
About Adept
Adept is an enterprise-focused agentic AI platform that automates complex workflows across web applications and software systems. Built on a full-stack approach, it combines proprietary multimodal models trained on trillions of tokens of web UI data, custom actuation software, and feedback tools to execute end-to-end business processes. The platform excels at three core capabilities: accurately locating UI elements on webpages, understanding and reasoning about web content (documents, PDFs, charts), and planning complex multi-step workflows. Adept is designed for large organizations looking to automate repetitive tasks across departments like supply chain, financial services, healthcare, and HR. Unlike traditional automation tools, Adept uses natural language instructions to set up workflows quickly and adapts to changes in software environments without requiring constant maintenance.
Our Review
Adept represents a sophisticated approach to enterprise AI automation, positioning itself as a full-stack solution rather than just another AI assistant. The platform's proprietary training data focused specifically on web UIs and software usage gives it a clear advantage in understanding how to interact with actual business applications. Their benchmark scores are impressive—93 on their Locate eval and 88.2 on Web VQA—suggesting strong technical capabilities. The example use cases (checking shipping across hundreds of sites, extracting PDF data, processing license applications) demonstrate real enterprise value. However, the tool is clearly enterprise-only with contact sales being the only option, which limits accessibility for smaller businesses or individual users. The lack of transparent pricing, limited public product access, and absence of user testimonials make it difficult to assess real-world performance and ROI. The promise of 'future-proof' workflows that require no maintenance is ambitious and would need validation. While the technical foundation appears solid and the team has credible AI expertise, potential buyers would need substantial proof-of-concept work before committing.
Pros & Cons
✓ Pros
- ✓ Proprietary models trained on trillions of tokens specifically for web UI and software interaction
- ✓ Full-stack approach including custom actuation layer and feedback tools for continuous improvement
- ✓ Strong benchmark performance on location, web understanding, and planning tasks
- ✓ Natural language workflow setup claims to enable deployment in minutes rather than months
- ✓ Workflows adapt to environment changes without requiring maintenance or reconfiguration
✗ Cons
- ✗ Enterprise-only with contact sales model makes it inaccessible for SMBs and individuals
- ✗ No transparent pricing information available on the website
- ✗ Limited public access or trial options to evaluate the platform before commitment
- ✗ No visible customer testimonials or case studies to validate real-world performance claims