Building an AI CRM That Takes Action

Founders' Journey to AI CRM

• 💡 Keith Peiris and Henri Liriani previously worked at Facebook on projects like Messenger, Graph Search, and Home, focusing on productivity and communication tools.
• 🚀 They co-founded Tome, an AI presentation tool that scaled to 20 million users in its first year, demonstrating their ability to build successful AI applications.
• 🔄 Tome pivoted from a horizontal productivity tool due to the "never-ending context problem," realizing the need to build "everything for someone" rather than a general solution.

Limitations of Traditional CRMs

• ⚠️ Traditional CRMs compress customer relationships into rigid database fields, leading to a significant loss of critical context.
• 🧩 Customer information is often scattered across disparate systems like email, call recordings, Slack, and support tickets, preventing a unified view.
• 📊 Existing CRM architectures, like Salesforce's relational database, act as a "strainer," missing crucial unstructured data and making it difficult for AI to do meaningful work.

Lightfield: A Data-First AI CRM

• 🧠 Lightfield reimagines CRM as a "database-first" AI CRM designed to automatically capture, index, and structure all customer interactions.
• 🎯 It creates a queryable "lake of context" by ingesting everything, providing a comprehensive and dynamic view of customer relationships.
• 🚀 Unlike other early AI go-to-market tools, Lightfield prioritizes a "data structure first" approach, ensuring the necessary foundation for advanced AI applications.

How Lightfield Empowers Teams

• ✅ Users connect email, calendar, Slack, and other tools, allowing Lightfield to automatically store and index customer interactions and send a video recorder to meetings.
• 📈 This creates an "automatic CRM" that constantly listens and updates itself, offering high-fidelity capture and recall of all customer data.
• 🛠️ With this rich data foundation, Lightfield can automate tasks like writing emails, generating proposals, assigning tasks, and identifying customer patterns, acting as a "hub of customer truth."

The Future of Go-to-Market

• 🌱 Lightfield targets technical founders who approach go-to-market as an engineering machine, fostering leaner, more efficient teams.
• 💡 The vision is for fewer, more autonomous "superhuman sellers" who can manage more accounts and perform a wider range of functions, from sales engineering to customer success.
• 🤝 Sales will evolve into a more effective "matchmaking process" between customer needs and solutions, with AI enabling greater care and consideration for narrow markets.