Prescient AI

Prescient AI is a leading provider of AI-powered marketing mix modeling (MMM) solutions designed to help omnichannel brands maximize their paid marketing efficiency. The company boasts a "glass box" approach to its models, meaning they are transparent and explainable, unlike the "black boxes" used by many competitors. Prescient AI's proprietary technology delivers accurate, daily insights and forecasts, enabling brands to make data-driven decisions about their marketing spend and optimize their campaigns in real-time.

Founded in 2019, Prescient AI has rapidly gained recognition for its innovative approach to MMM. The company has a strong team of experts in data science, engineering, and marketing, and has secured over $20 million in funding. Prescient AI's clients include leading ecommerce brands like Good American, HexClad, and Catalina Crunch, who have all seen significant improvements in their marketing performance using the platform. The company is committed to staying at the forefront of MarTech innovation and providing its clients with the tools they need to succeed in the evolving digital landscape.

Prescient AI offers no information about job flexibility on its website or in its job postings.

Prescient AI is a company dedicated to revolutionizing media analytics with advanced AI solutions for omnichannel brands. They offer the industry-leading Marketing Mix Modeling (MMM) tool to maximize paid marketing efficiency and its impact on all revenue channels, empowering businesses to make data-driven decisions and achieve their marketing goals with speed and confidence.

Prescient AI cultivates a culture that values data-driven decision-making, innovation, and collaboration. They emphasize a fast-paced, results-oriented environment where employees are empowered to take initiative and contribute to the company's growth. Their commitment to transparency and continuous improvement is evident in their open communication practices, regular feedback loops, and focus on building a best-in-class platform.