Lightfield, an AI-native customer relationship management platform, secured more than 2,000 company sign-ups within three months of emerging from stealth [1]. Matt Serna, Lightfield’s head of go-to-market, announced the milestone on LinkedIn, noting the company achieved this growth with a single go-to-market employee, no sales team and minimal ad spend [1].
The platform represents a fundamental architectural departure from legacy CRMs like Salesforce and HubSpot [2]. Instead of requiring users to define rigid data schemas upfront and manually populate fields, Lightfield stores complete, unstructured records of customer interactions, including emails, meeting transcripts and Slack messages [3]. The system uses artificial intelligence to extract structured information on demand, allowing companies to reorganize their data models without manual rework [3].
Lightfield’s founders, Keith Peiris and Henri Liriani, previously built Tome, an AI-powered presentation tool that reached 25 million users [3]. Despite Tome’s success and $81 million in total funding from investors including Coatue, Greylock and Lightspeed, the founders pivoted the company to address the lack of customer memory in sales [2]. Peiris previously grew Instagram Direct to 500 million monthly active users at Meta, while Liriani rebuilt Facebook Messenger, reducing its codebase by 84% while re-engineering more than 90 core features [2].
For early-stage defense technology companies and the broader defense industrial base, Lightfield’s schema-less architecture offers a potential solution to persistent data hygiene challenges. Defense contractors frequently manage complex, long-cycle sales processes involving multiple stakeholders and evolving requirements. Traditional CRMs often fail to capture the nuanced context of these relationships, leading to lost institutional memory when personnel change.
Lightfield’s system automatically records and transcribes sales calls, ingests correspondence and maintains a chronological relationship timeline [3]. The platform generates meeting preparation briefs, drafts follow-up emails based on conversation context and answers natural language queries about the business with citations to original conversations [2]. One early user reported reviving more than 40 stalled opportunities in a single two-hour session [3].
The platform’s early traction, particularly among Y Combinator startups, suggests a growing preference for AI-native tools that reduce administrative burden [3]. More than 35% of sign-ups have converted into paying customers, and power users interact with the platform’s AI agent more than 400 times per week [4]. Lightfield offers a free tier, with paid plans starting at $36 per user per month [2].
The global CRM market was valued at $79.6 billion in 2025 and is projected to reach $161.3 billion by 2033, with AI-specific CRM tools growing from $11 billion in 2025 to $15 billion in 2026 alone. Lightfield is betting that the architectural shift from structured databases to AI-native memory systems represents the next major disruption in that market.
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References
[1] Matt Serna LinkedIn Post — Over 2000 companies signed up for Lightfield
[2] SaaStr: Lightfield — The AI-Native CRM That Killed Tome’s 25 Million Users to Build Something Better
[3] VentureBeat: Tome’s founders ditch viral presentation app with 20M users to build AI-native CRM Lightfield
[4] SourceForge: Lightfield — An AI-Native CRM for Startups Creating Momentum in the Category