📢 Modern Marketing

Today's Highlights

• Clay - AI tools for modern sales teams
• Learn - a couple of courses to further your knowledge in AI
• In Other News - a few interesting developments we're tracking

Clay - AI Tools for Modern Sales Teams

Clay, an innovative AI-driven company, has recently gained significant attention for its groundbreaking platform designed to revolutionize sales and marketing efforts. Clay integrates data enrichment, customer research, and personalized messaging into a single platform, allowing companies to run efficient and effective marketing campaigns. By utilizing AI to aggregate data from over 75 sources, Clay helps businesses.

Clay pulls information from a wide array of sources to provide comprehensive and accurate data on potential leads. This includes real-time data scraping and integration with leading CRM and email tools, ensuring that sales teams have the most up-to-date information​. The AI research agent, known as Claygent, automates manual research tasks such as inferring competitors, checking compliance, and more. This enables sales representatives to focus on building relationships rather than conducting tedious research​.

Clay uses AI to craft personalized messages for each prospect, making outreach efforts more effective. The platform can generate human-like outreach at scale, significantly improving response rates​.

Clay has cultivated a vibrant community of over 100,000 users and 2,500 customers. The company's culture emphasizes creativity and collaboration, with a diverse team of engineers, ex-founders, and operators who also engage in various artistic and cultural activities. Clay's customer base includes prominent companies like Reddit, Notion, and Anthropic, which utilize Clay to improve their GTM strategies and drive growth. The platform has helped these companies automate workflows, maintain accurate data, and execute successful campaigns.

The company was founded by Kareem Amin, Nicolae Rusan, and Varun Anand. To date, they have a $500 million evaluation.

📚 Learn

In Other News

Machine learning unlocks secrets to advanced alloys

An MIT team uses machine learning and computational models to measure short-range order (SRO) in high-entropy materials, unlocking the potential for designing tailored alloys with advanced properties for diverse applications.

MIT News | Massachusetts Institute of TechnologyPoornima Apte | Department of Materials Science and Engineering

Can we make work meetings more bearable?

The providers of video meetings software are now offering AI tools that help the participants.

BBC News

Omega’s AI Will Map How Olympic Athletes Win

From gymnast-tracking to pole vault measurements mid-jump, the watch brand’s Swiss Timing division has a whole host of new timing tech for Paris 2024.

WIREDCondé Nast