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Collaborative care platform for mental health measurement and outcomes tracking, Toronto Canada. Helps health systems use data to improve patient mental health outcomes.
Greenspace Health is a Toronto, Canada-based digital health company founded in 2015 that provides a collaborative care platform designed to embed measurement-based care practices into mental health and primary care settings. The platform enables clinicians and care teams to systematically collect, track, and act on patient-reported outcome measures (PROMs), bringing data-driven decision-making to mental health treatment in a way that mirrors how chronic disease management is handled in other medical specialties.\n\nThe Greenspace platform supports the collection of validated clinical measurement tools such as the PHQ-9 (depression), GAD-7 (anxiety), and dozens of other standardized instruments, delivered to patients via mobile or web between sessions. Clinicians receive visualized outcome trends, alerts for deteriorating patients, and population-level dashboards that allow managers to identify care gaps and resource needs. The system is designed to integrate with existing EHRs and fit into existing clinical workflows rather than replace them.\n\nGreenspace primarily serves health systems, community mental health centers, and primary care organizations in Canada and the United States that are implementing collaborative care models or value-based mental health contracts. As payers and government health agencies increase pressure on providers to demonstrate mental health treatment outcomes, Greenspace is positioned as essential infrastructure for outcomes accountability. The company has partnered with several provincial health systems in Canada and is expanding its US footprint through health system partnerships.
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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