Affectiva is a US-based enterprise AI company founded in 2009. The company specializes in emotion AI, which uses artificial intelligence to understand human emotions from facial expressions and voice. Its mission is to make human-computer interactions more empathetic and effective. Affectiva builds AI systems that help enterprises analyze customer and employee emotions, enhancing user experiences and engagement.
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Hazy is a US-based enterprise AI company specializing in synthetic data generation and privacy-preserving AI. The company focuses on helping businesses use artificial intelligence while keeping sensitive data secure. Hazy’s mission is to make data safe, compliant, and useful for AI projects. Its AI systems generate realistic synthetic data that mirrors real-world patterns without exposing personal information.
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Sift is a US-based enterprise AI company founded in 2011. The company focuses on digital trust and safety using artificial intelligence. Its mission is to help businesses prevent fraud, abuse, and other online risks while improving user experience. Sift builds AI systems that analyze transactions, accounts, and interactions to detect and stop fraudulent activities in real time.
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Pymetrics is a US-based enterprise AI company founded in 2013. The company focuses on applying artificial intelligence and behavioral science to talent management and recruitment. Its mission is to help enterprises make fairer and more accurate hiring decisions. Pymetrics uses AI to assess candidate skills, cognitive abilities, and behavioral traits, improving workforce quality and reducing bias in hiring.
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BigML is a US-based enterprise AI company founded in 2011. The company focuses on making machine learning simple and accessible for businesses of all sizes. Its mission is to help enterprises build predictive models and gain insights from data without needing deep technical expertise. BigML provides easy-to-use platforms that allow organizations to automate analytics and make data-driven decisions effectively.
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Arthur AI is a US-based enterprise artificial intelligence company founded in 2019. The company specializes in AI observability, monitoring, and governance for enterprises. Its mission is to help organizations ensure their AI models are reliable, fair, and compliant. Arthur AI builds platforms that track model performance, detect bias, and provide actionable insights for safe and responsible AI deployment.
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Noodle.ai is a US-based enterprise AI company founded in 2015. The company specializes in applying artificial intelligence to operations, supply chains, and business optimization. Its mission is to help large organizations make better decisions by using AI-driven insights. Noodle.ai builds platforms that analyze complex data and provide actionable recommendations to improve efficiency and reduce costs.
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Beyond Limits is a US-based enterprise AI company founded in 2014. The company specializes in industrial-grade artificial intelligence for enterprises in energy, manufacturing, and healthcare. Its mission is to deliver AI solutions that combine cognitive reasoning with machine learning to solve complex real-world problems. Beyond Limits builds AI systems that help organizations optimize operations, improve efficiency, and make better decisions.
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Primer is a US-based enterprise AI company founded in 2015. The company specializes in natural language processing (NLP) and machine learning for analyzing large volumes of text data. Its mission is to help organizations understand and act on complex information quickly. Primer builds AI systems that automatically read, summarize, and extract insights from documents, news, and reports.
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SparkCognition is a US-based enterprise AI company founded in 2013. The company specializes in artificial intelligence solutions for industrial applications, cybersecurity, and asset protection. Its mission is to help enterprises use AI to predict and prevent operational issues, optimize performance, and enhance security. SparkCognition builds AI systems that analyze data, identify risks, and improve decision-making across organizations.
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Vectra AI is a US-based enterprise AI company founded in 2010. The company specializes in AI-driven cybersecurity solutions for detecting and responding to threats in real time. Its mission is to help organizations protect their networks, data, and digital assets using artificial intelligence. Vectra AI builds platforms that identify anomalies, analyze behaviors, and provide actionable insights to prevent cyberattacks.
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Onfido is a US-based enterprise AI company founded in 2012. The company specializes in identity verification and authentication using artificial intelligence. Its mission is to help organizations verify user identities quickly, securely, and accurately. Onfido builds AI systems that analyze identity documents, facial biometrics, and other data to ensure compliance and prevent fraud.
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Suki AI is a US-based enterprise AI company founded in 2017. The company specializes in AI-powered voice assistants for healthcare professionals. Its mission is to reduce administrative burdens and improve clinical efficiency using artificial intelligence. Suki AI builds platforms that allow doctors and nurses to document patient information quickly through voice commands, freeing time for patient care.
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Cape Analytics is a US-based enterprise AI company founded in 2014. The company specializes in property intelligence and geospatial AI. Its mission is to provide enterprises with accurate, real-time property data to support insurance, real estate, and financial decision-making. Cape Analytics builds AI systems that analyze aerial imagery and property characteristics to deliver actionable insights.
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Mythic AI is a US-based enterprise AI company founded in 2012. The company specializes in edge AI and embedded AI solutions for hardware and enterprise applications. Its mission is to provide high-performance AI processing directly on devices, reducing the need for cloud computation. Mythic AI builds AI systems that enable faster, energy-efficient, and real-time decision-making for enterprises.
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