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Impact Analytics Raises $11M led by Argentum to Accelerate Growth

– Impact Analytics has raised $11M led by Argentum to accelerate growth
– The company’s industry-leading, next-generation AI-driven technology platform powers SaaS solutions aimed at optimizing the forecasting, planning and merchandising functions for retailers and consumer packaged goods (CPG) manufacturers.
– Impact’s solutions are deployed at leading retailers, including Calvin Klein, Tommy Hilfiger, Puma, JoAnn and Belk.
– Several large private equity firms are actively encouraging their portfolio companies in the retail sector to adopt Impact’s solutions.
– Impact’s decisioning systems also enhance retailers’ sustainability efforts by helping them make more precise merchandising and allocation decisions, reducing waste and their carbon footprint.
– Impact Analytics was founded in 2013 by CEO Shachar Shemesh and CTO Lior Zalmanson.

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LA-based Metropolis raises $41 million to upgrade parking infrastructure

– LA-based Metropolis raised $41m funding.
– The round was led by 3L and joined by Dragoneer, Starwood, RXR Realty, Dick Costolo and Adam Bain’s 01 Advisors, Slow Ventures, Dan Doctoroff, Baron Davis, and others.
– The company plans to upgrade parking infrastructure with a computer vision-based system that recognizes cars as they enter and leave garages.

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Accessibility Software Company Evinced Raises $17 Million

– Evinced is an accessibility software company.
– The company raised $17m in Series A funding.
M12 (Microsoft’s venture fund), BGV, Capital One Ventures, and Engineering Capital participated in the round.

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Labelbox raises $40 million for its data labeling and annotation tools

– Labelbox, a startup developing a data annotation and labeling platform, today announced it has raised $40 million, bringing its total raised to $79 million.
– The company says the funds will be used to acquire new customers, expand its solutions, and grow its workforce around the globe.
– Training AI and machine learning algorithms requires plenty of annotated data. But data rarely comes with annotations. The bulk of the work often falls to human labelers, whose efforts tend to be expensive, imperfect, and slow.
– It’s estimated most enterprises that adopt machine learning spend over 80% of their time on data labeling and management.
– Labelbox was founded in 2018 by Manu Sharma and Brian Rieger, who both worked in the aeronautics industry, designing and testing flight control systems and experimenting with machine learning models.

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