
Written by a model from the transcript; not yet reviewed.
This episode of the A16Z podcast features hosts Alex Rampell and Joe Schmidt sitting down with Keith Perez, the co-founder and CEO of Lightfield. Keith details his journey walking away from Tome, a fast-growing AI presentation product with 25 million users, because he and his team instinctually disliked the product and realized it was limited to individuals and students. The guest explains how they pivoted to build Lightfield, an AI-native CRM that constructs a business world model by processing customer emails, calls, meetings, and product usage into a rich activity log. They discuss architectural choices, moving away from rigid database schemas toward an intelligence-first approach, and the challenges of pricing, go-to-market strategies, and operating with high velocity with a 40-person team.
Hosts introduce the episode and Keith Perez explains Lightfield’s mission to model customer relationships using AI.
The team discovers that customer data is fragmented across multiple systems, inspiring a shift toward building a unified business world model.
The founders used free office space and negative pricing to attract early adopters, gathering rapid feedback and validating the product.
Lightfield’s core design centers on an activity log that captures all interactions, enabling AI to infer relationships without rigid schemas.
Lightfield experiments with seat, consumption, and hybrid pricing models before settling on a platform fee plus consumption for advanced features.
Discussion on how CRM systems are harder to switch than banking services, highlighting the mental overhead of choosing the wrong platform.
Examination of the trend of founders building their own CRMs versus adopting existing solutions, and the challenges of DIY approaches.
Insight into Lightfield’s vision as a scenario‑planning tool and its impact on strategic decisions like hiring and product development.
Discussion on how Lightfield enables data‑driven, frontier intelligence for complex business decisions, reducing reliance on traditional ops and SQL.
Key advice for founders pivoting: focus on pain, customer obsession, and ignore noise.
Final thanks, encouragement to try Lightfield, and standard podcast outro with subscription reminders.
Walking Away From 25 Million Usersstory
The guest explains why he and his co-founders walked away from Tome despite reaching 2 million users a month, noting that they ultimately disliked the product and could not see discerning professionals using it.
Recognizing Limitations of General Reasoninginsight
The guest details how the team realized that general LLM reasoning was insufficient for presentations because the model lacked deep context about the relationship between the presenter and the audience.
Using Negative Pricing for Feedbackstrategy
To test their early CRM product, the founders offered free office space on LinkedIn to startups willing to use the software, resulting in a cohort of users who gave feedback every couple of hours.
Intelligence is Greater Than Schemainsight
The hosts and guest discuss how Lightfield bypasses traditional rigid database schemas by connecting communication channels and letting the AI assemble relationships dynamically.
Helping Alzheimer's Patients Through CRM Modelingstory
A customer named Power used Lightfield's flexible data modeling to scrape the FDA and clinicaltrials.gov, successfully matching patients with frontier treatments within days.
Greenfield Versus Brownfield Strategiesinsight
The host analyzes the difficulty of breaking into brownfield markets dominated by entrenched incumbents versus selling to brand-new greenfield startups.
Platform Fee Plus Consumption Pricingstrategy
After experimenting with pure seat-based pricing and pure consumption models, the company landed on a hybrid structure combining a core platform fee with consumption pricing for pipeline generation and automations.
“We have this company, Power. They have this marketplace where they're aggregating folks that have various illnesses and complications that are looking for frontier treatment.”
“We got 2 million users a month. People were lining up when we didn't have enough inference to support them.”
“We started with both extremes, and we figured that that is the fastest path to find the efficient frontier.”
“We had 25 million users or something, and we found that the B2B users were sales and marketing.”
“Negative pricing, yeah, yeah, exactly.”
“We built in the dark for about four months. And then we needed to find people to use our CRM.”
“We do continuous planning, so every day the list can change, every week we reassess the list, and then whoever's free just picks up the problem.”
“I think the thing I'm most excited about, it's funny. I am, I'm stoked about Lightfield becoming your sort of crystal ball for scenario planning.”
“And the thing that gets me up in the morning is actually having folks use Lightfield to think about how many reps should I hire? What products should I build next? Where do I go?”
“I think the most important thing to remember is that almost none of the noise around you matters when you're in a pivot. You just need to find pain.”
a16z’s Alex Rampell and Joe Schmidt sit down with Lightfield co-founder and CEO Keith Peiris to discuss what it takes to rethink the CRM for an AI-native world, and the unusual pivot that got him there. Keith previously built Tome to 25 million users, but eventually walked away from the product after concluding that the underlying technology couldn’t capture enough context about a presenter, their audience, and the relationship between them. Starting again, his team followed customers from AI presentations into sales workflows and eventually found a harder problem: making sense of the fragmented and often conflicting data spread across a company’s emails, calls, CRM, and other systems. They unpack Lightfield’s idea of a “business world model,” why Keith believes intelligence can replace much of the rigid schema behind traditional software, and what changes when AI has enough context to reason about a company and its customers. They also get into building for greenfield versus brownfield markets, AI-era pricing, running a company where everyone is a generalist, and Keith’s lessons from making a hard pivot.
10,250 words · 4 speakers
Speaker names marked are inferred from speaking time and the show’s known hosts — they are not voice-verified.
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