For GTM and sales teams replacing Salesforce or HubSpot, Lightfield is an AI-native CRM that automatically builds its own record from calls, email, and support, then runs agents for prospecting, follow-ups, and deal coaching on top of it.
Presence & Market Position
#47 of 74
AI-Native GTM Challengers
▼ 69 60-day move
Measures earned, engagement-weighted share of voice across the GTM voices panel. Methodology →
Lightfield is making the case that a CRM should build itself: an agent-native system of record that automatically captures customer activity from meetings, email, and support, then runs prospecting, follow-ups, and deal coaching for early-stage sales teams weighing a move off HubSpot. Presence in GTM conversation is dominant for a company this young. Live demos assembling a working CRM and unsticking a stalled deal on a conference stage, agent-readiness comparisons that put it alongside Salesforce, Attio, and Pipedrive, and steady billing on AI GTM event lineups and sponsor rosters all recur. The conversation centers less on launch news than on what the product does live: migrations off legacy CRMs, agentic demos, and Lightfield as a fixture in agent-native CRM comparisons.
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Business Profile
Lightfield is the second company from Tome founders Keith Peiris and Henri Liriani, who shut down their AI presentation tool to build an AI-native CRM starting in August 2025. It launched publicly after roughly a year in stealth, building a large pre-launch waitlist, then widened access with a Product Hunt launch in March 2026. Based in San Francisco and still independent, it carries capital and investor relationships forward from Tome rather than a separately announced new round, with early traction concentrated among early-stage, high-growth startups migrating off HubSpot rather than enterprise accounts.
Agent Readiness
Measures how easily your agents can build on it — API, MCP, CLI, SDK, docs depth. Methodology →
Lightfield's agent surfaces shipped monthly: a natural-language agent step in its workflow builder, a code-execution sandbox running Python against full CRM memory, then an HTTP/Python SDK API pitched as the same interface for humans and agents. Agentic Pipeline Generation followed for all customers, and an MCP server landed as an official connector in Claude's Connectors Directory, exposing account, contact, opportunity, meeting, and email data under matching permissions. A TypeScript SDK and CLI are publicly on the roadmap.
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