Deputy vs Adept AI

Side-by-side comparison of AI visibility scores, market position, and capabilities

Deputy

LeaderHCM Tech

Workforce Scheduling

Workforce scheduling, time tracking, and labor compliance platform for shift-based businesses. Sydney Australia, raised $210M+, serves 330,000+ workplaces globally.

About

Deputy is a cloud-based workforce management platform built for shift-based and hourly industries including retail, hospitality, healthcare, and logistics. Founded in 2008 in Sydney, Australia, the company has raised over $210 million in venture funding and grown to serve more than 330,000 workplaces across 100+ countries. Its core product combines employee scheduling, time and attendance tracking, and labor compliance tools into a single mobile-first platform.\n\nDeputy's scheduling engine uses AI to optimize shift assignments based on demand forecasts, employee availability, and labor law constraints. Managers can publish schedules in one click while the system flags overtime risks, break violations, and award interpretation issues specific to each jurisdiction. The mobile app allows workers to view shifts, clock in and out via GPS or facial recognition, and swap shifts without manager intervention.\n\nIn 2024 and 2025, Deputy accelerated its enterprise go-to-market with deeper integrations into payroll systems like ADP, Gusto, and Xero, and expanded its compliance engine to cover complex industrial award rules in Australia and the UK. The platform's breadth — from single-site SMBs to multi-location enterprise chains — positions it as one of the most widely deployed workforce scheduling solutions globally.

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Adept AI

EmergingAI Infra

AI Agents

Adept AI raised $415M to pioneer computer-use AI agents; its core research and agent team moved to Amazon in 2024 in a landmark talent acquisition while the company continues developing ACT-1 for enterprise automation.

About

Adept AI was founded in 2022 by a team of former OpenAI, DeepMind, and Google Brain researchers to build AI that can take actions on computers — navigating software interfaces, filling forms, and executing multi-step workflows in any application. Its ACT-1 model demonstrated the ability to control web browsers and desktop applications through natural language instructions, pioneering the computer-use agent paradigm that Anthropic later commercialized with Claude's computer use feature.

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