Side-by-side comparison of AI visibility scores, market position, and capabilities
Ottawa, Canada. ESG management and reporting platform for enterprises and municipalities, with deep integration in the Salesforce ecosystem.
FigBytes is an Ottawa-based ESG management and reporting platform that helps enterprises, municipalities, and public sector organizations collect ESG data, track sustainability performance, and generate regulatory and voluntary reports. The company has established a strong presence in the Canadian public sector and has grown its enterprise customer base through integration with the Salesforce ecosystem, making it accessible to organizations already running Salesforce for CRM and operations.\n\nThe platform provides a highly configurable ESG data management layer that supports custom KPIs, performance frameworks, and sustainability goals beyond just carbon accounting. FigBytes covers social and governance metrics in addition to environmental data, making it suitable for organizations that need a comprehensive ESG platform rather than a pure carbon management tool. It includes visualization and benchmarking dashboards that help sustainability teams communicate progress to leadership and stakeholders.\n\nFigBytes targets enterprises and government organizations that need a flexible, enterprise-grade ESG platform with strong governance and audit capabilities. It competes with Diligent ESG, Sphera, and Intelex in the broader ESG management space. Its Salesforce integration and public sector expertise differentiate it in segments where Salesforce is already the enterprise standard, and where public accountability and auditability of sustainability data are critical.
a2z Radiology AI raised $20M in 2025 for its whole-body AI that simultaneously screens for 24+ conditions across CT scans — from incidental cancers to cardiovascular risk — in a single automated read.
a2z Radiology AI has developed a whole-body CT analysis platform that simultaneously screens for over 24 medical conditions across a single CT scan, including incidental cancers, coronary artery disease, aortic aneurysm, bone density loss, and organ abnormalities. The AI acts as a second reader that radiologists can use to catch incidental findings that fall outside the primary reason for a scan — a major source of missed diagnoses.
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