Founded by Arianna Huffington in 2016, Thrive Global is a leading behavior change technology company with the mission to improve productivity and health outcomes – one Microstep at a time. Thrive helps individuals and organizations improve well-being, performance and mental resilience with its AI-powered behavior change technology platform. Thrive’s Microsteps – small, science-backed steps to improve health and productivity – have been adopted by employees at more than 200 organizations in over 160 countries, from frontline and call center workers to executives at multinational companies. For more information, visit www.thriveglobal.com.
MindBridge is the leader in Autonomous Financial Oversight (AFO). The AI-native platform analyzes 100% of transactions at scale across financial systems of record to detect risks early, explain insights with clarity, and enable governed actions. As AI accelerates financial execution, organizations need independent oversight for governance to remain objective, accountable, and trusted. MindBridge provides the oversight layer required to maintain financial and audit integrity. Trusted by organizations worldwide, the platform empowers finance and external audit teams to move beyond sampling, strengthen controls, and operate with speed and confidence. For more information, visit www.mindbridge.ai.
NeuroNexus is a global leader for innovative neural interface products and technologies to meet both current and upcoming needs in neuroscience research, neurosurgery, and neuromodulation.
NeuroNexus powers neuroscience research through innovative neural probes, systems, and data analytics software. NeuroNexus probes include a full line of high-quality, customizable microelectrode arrays for electrophysiology and optogenetics research. NeuroNexus systems provide integrated plug-and-play solutions to support diverse neurophysiology experiments and workflows. The NeuroNexus data analytics software platform provides powerful, scalable, cross-platform analytical and visualization tools for managing and analyzing neurophysiological data -- from individual experiments to complex multi-investigator 'big data'.