Why the Next Generation of Enterprise Software Looks Nothing Like Salesforce

Video summary

Keith Peiris pivoted Tome’s 25 million users into Lightfield, a $47 million AI-native CRM built around a business world model.

Lightfield CEO Keith Peiris tells a16z’s Alex Rampell and Joe Schmidt how he walked away from Tome despite its 25 million users: AI could generate presentations, but lacked context about presenters, audiences, and their relationships. Sales and marketing customers led the team from presentation pilots to a deeper problem—reconciling incomplete, conflicting data across CRMs, call recordings, email, and warehouses. Lightfield builds a chronological activity log as its core, using semi-structured data and AI to model customer relationships without requiring companies to define a rigid schema upfront. Peiris shares examples including Power, whose Lightfield model helped someone with Alzheimer’s find a clinical trial treatment within days, and explains its pragmatic mix of familiar dashboards and AI agents. Pricing combines a platform fee and seats for core CRM, with consumption pricing for additional work. He says pivots depend on finding real customer pain, ignoring distractions, and focusing relentlessly on customers.

Chapters

1. 0:00From Tome to Lightfield: Tome Reached 2 Million Monthly Users
2. 2:28Why Not Wait for Better AI? Tome’s Missing Context Led to 12 B2B Pilots
3. 7:29Knowing Lightfield Was Onto Something: 10 Startups Used Its CRM Daily
4. 9:15CRM as a Repository: Lightfield Prioritized Modeling Customer Reality
5. 11:18Lightfield’s Architecture: Activity Logs, Semi-Structured Data, and Power’s Trial Matching
6. 18:48Greenfield vs. Brownfield: Lightfield’s Company-Wide CRM Wedge Against Salesforce
7. 25:27Skeuomorphic vs Natural Language: Lightfield Keeps Tables but Replaces Sales Sequences with Agent Recipes
8. 30:56Pricing in the AI Era: Lightfield Combines Core CRM Seats with Consumption Pricing
9. 36:22Lightfield’s 40-Person Team Uses Shared Priorities and Continuous Planning to Ship Faster
10. 40:02What Worries Keith Most: Keeping Lightfield Fast Enough to Prevent a Return to Salesforce
11. 44:01What Worries Keith Most: Using Silicon Valley References to Win Healthcare and Other Markets
12. 47:57What Worries Keith Most: DIY Company Brains, Lightfield’s Scenario Planning, and Pivot Focus