Fairgen News
3 articles
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Fairgen raises $8 million Seed round for accurate AI-generated survey responses | CTech
Israeli startup Fairgen has raised $8 million in seed funding from Maverick Ventures Israel, Tal Ventures, IGNIA, and Creator Fund. The company uses synthetic data to provide granular insights and has developed FairBoost, a solution that doubles the size of under-sampled segments using predictive synthetic responses. Fairgen has recently signed a partnership with international market research firms IFOP and BVA. The companys technology is used by some of the largest global consumer brands.
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פיירג'ן יוצאת מהגראז' ומייצרת בני אדם סינתטיים...
Fairgen, an Israeli startup, has developed a technology to clean artificial intelligence (AI) from biases and opacity. The company initially aimed to help banks, insurance companies, and other large entities that collect and analyze data to do so fairly. However, due to the lack of urgency in these sectors to adopt fair AI practices, Fairgen has pivoted to producing bias-free synthetic data for market research companies. Fairgen recently completed a seed funding round, raising $2.5 million led by Tal Ventures and Creator Fund. The company is currently conducting a pilot project with a large market research company in France.
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Fairgen: Tackling the algorithmic bias of AI CTech
Fairgen, a company founded by Samuel Cohen, has raised $2.5 million to tackle algorithmic bias in AI algorithms. The company aims to address biases in AI algorithms used by organizations in hiring processes, loan applications, and insurance. Fairgens technology uses fair datasets validated by an external provider to mitigate biases and enhance the reputation of its clients. The company believes that fairness is crucial in both the physical and digital worlds. Fairgens platform is already in production and provides data monitoring, decorrelation, and rebalancing services. The recent investment will be used to expand the R&D team and extend the platforms capabilities. Fairgens main competitors are synthetic data for privacy compliance companies, model and data monitoring companies, and fairness-as-a-service companies.
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