Side-by-side comparison of AI visibility scores, market position, and capabilities
Workforce management platform for staffing firms and flex workers. San Francisco CA, raised $15M+, helps staffing agencies manage contingent and on-demand worker pools efficiently.
TeamBridge is a workforce management platform built specifically for the flex and contingent workforce ecosystem — staffing agencies, gig economy operators, and enterprises managing large pools of on-demand workers. Founded in 2019 and headquartered in San Francisco, California, the company has raised over $15 million in funding. TeamBridge addresses the operational complexity of managing large, fluid workforces where workers may hold multiple roles, work across multiple clients, and require rapid onboarding and credentialing.\n\nThe platform provides staffing agencies and flex workforce operators with tools to manage worker profiles, credentials, and availability, automate shift assignments, handle time tracking, and process payouts. Its self-service worker app allows contingent workers to manage their availability, accept assignments, and track earnings without requiring agency intervention. For client-side operations, TeamBridge offers workforce request management and shift filling workflows that connect demand with available, qualified workers in real time.\n\nTeamBridge targets a market segment that has been underserved by traditional HCM software — staffing firms and flex workforce operators whose workflows are fundamentally different from those of direct-hire employers. The platform's 2025 growth has been driven by healthcare staffing agencies, hospitality groups, and event staffing firms seeking to move from spreadsheets and legacy staffing ATS systems to purpose-built flex workforce technology.
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.
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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