RESPONSIBLE AI

Building responsible AI solutions for the modern workforce

Our mission is to harness technology's potential to help people thrive in an evolving labor market.
responsible, accessible, ETHICAL

AI is here. We work every day to help it become a force for incredible good

Ethics & efficacy, leading
together

We develop AI systems that enhance workforce development while prioritizing ethical considerations. Our approach strives to mitigate algorithmic biases, provide context-rich insights, support informed human decision-making, and keep people at the center of workforce solutions.

Enterprise-grade security and compliance

We prioritize the protection of sensitive workforce data through industry-standard security measures (SOC 2 compliant), strict data handling protocols, regular security updates, and a commitment to accessibility and inclusivity.

Designing AI with humans in mind

Our technology is designed with humans in mind, creating intuitive interfaces, providing clear explanations of AI-driven insights, maintaining channels for human oversight, and fostering collaboration between AI and workforce professionals.
responsible data governance

World-class protection and privacy

We implement robust security measures to safeguard your information, including SOC 2 compliance, ongoing updates to security protocols, and a commitment to data protection regulations.
AI FOR GOOD

Positive impact in workforce development

We believe that AI can be a powerful tool for improving outcomes in workforce systems. Our approach aims to extend access to opportunity by designing and deploying thoughtful technology through human-centered design principles, while acknowledging existing barriers and biases. We continuously monitor our AI systems to ensure their alignment with positive outcomes for all.
ongoing oversight

Mitigating bias in AI systems

We're committed to ongoing efforts to mitigate bias through regular audits of training data, diverse representation in development, implementation of fairness constraints in models, and continuous improvement and vigilance.
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testimonials

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