Sep 16, 2026 · 53 min
Lightfield rebuilds CRM around the business relationship
The AI-Native CRM
The episode examines whether AI can replace rigid, seat-based CRM systems with a living model of how companies actually work.
- 1Lightfield began after Tome’s growth exposed limits in producing quality presentations and capturing the context behind them.
- 2Its AI-native CRM turns emails, calls, records, and other fragmented data into a flexible relationship history.
- 3The company is testing new approaches to adoption, pricing, and decision support as AI changes enterprise software.
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Keith Parris describes how Lightfield helped connect someone with Alzheimer’s to a frontier treatment within days.
The brief
Keith Parris explains why the team abandoned Tome after reaching 25 million users: the product struggled to produce high-quality presentations and capture the context behind them.
The pivot led to Lightfield, an AI-native CRM built around a chronological relationship history assembled from emails, calls, CRM records, and other fragmented data.
Rather than forcing companies to define every field upfront, Lightfield infers stages, causality, and structure from activity, then lets customers reshape the model without losing history.
The harder problem is adoption: Lightfield must replace incumbent habits, justify pricing beyond seats or consumption, and become useful across sales, finance, engineering, and customer success.
Its most ambitious vision is a company brain that can help plan hiring, product strategy, and market expansion by reasoning over rich organizational context.
The central lesson from the pivot is less about CRM than discipline: ignore surrounding noise and follow real customer pain until the problem becomes undeniable.
Featuring
Mentioned
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