Cerebri AI is a forward-thinking startup specializing in enhancing customer experience (CX) through artificial intelligence (AI). The company offers a comprehensive, ready-to-deploy solution for managing customer journeys via application programming interfaces (APIs). This means businesses can integrate Cerebri AI's technology into their existing systems to better understand and engage with their customers.

Cerebri AI primarily serves large enterprises, particularly those looking to improve customer engagement and drive sales without compromising either. The company operates in the enterprise technology market, focusing on sectors that benefit from advanced data analytics and customer relationship management.

The business model of Cerebri AI revolves around providing a subscription-based service. Companies pay to use their AI-driven platform, Cerebri Values CX (CVX), which analyzes customer data to predict financial success and enhance customer engagement. Unlike traditional methods like the Net Promoter Score, Cerebri Values offers a more nuanced and predictive measure of customer engagement.

Cerebri AI generates revenue by charging enterprises for access to its platform, which promises rapid deployment within 90 days. This quick setup is facilitated by their end-to-end automated pipeline, making it easier for businesses to start benefiting from the technology without long delays.

The company is backed by M12, formerly known as Microsoft Ventures, which provides not only financial support but also strategic guidance and expertise in technological innovation. This backing underscores Cerebri AI's credibility and potential for growth in the enterprise market.

Cerebri AI is also committed to diversity and inclusion, as evidenced by initiatives led by co-founder and CEO Jean Belanger. These efforts aim to address and shift the status quo in the tech industry, promoting a more inclusive environment.

Keywords: AI, customer experience, enterprise, data analytics, machine learning, cloud computing, customer engagement, financial prediction, rapid deployment, diversity.