Lightfield

Overview

Lightfield is an AI-native customer relationship management platform that automatically builds a living model of every account using data extracted from emails, meetings, and calls. It eliminates manual data entry by capturing customer signals, tracking commitments, and drafting contextual follow-ups in the background. Users can query past interactions in plain English to uncover deep pipeline insights with verifiable citations. The system provides high-growth sales teams with automated pipeline generation and unified customer memory.

What it does

• Auto-captures contacts, accounts, and opportunities directly from incoming emails, calendars, and live meetings.
• Extracts action items and commitments automatically to draft personalized customer follow-up emails.
• Processes natural language queries to answer complex pipeline questions with direct citations to original conversation moments.
• Synchronizes versioned customer memory across the entire organization to power autonomous outbound sales agents.

Who it's for

• Startup Founders
• Sales Teams
• Account Executives
• Growth Leaders

Why it works

• Eliminates administrative CRM data entry friction, ensuring pipeline records stay accurate without manual updates.
• Versioned customer memory preserves deep context across all historical touchpoints rather than flat data fields.
• Natural language querying allows instant access to specific conversation insights with exact call citations.
• Autonomous agent workflows proactively scale outbound lead generation and routine follow-up communications.

Founder story

Lightfield was founded in 2020 by Keith Peiris, Henri L., and Pete Nichols. Drawing from their experience building high-scale consumer and productivity products, the founders set out to replace rigid legacy CRMs with an AI-native system that learns directly from real customer conversations.

Alternatives

• HubSpot
• Attio
• folk
• Salesforce

Comparison overview

• Operates as an AI-native CRM that automatically populates records from calls and emails rather than expecting manual field entry , Provides deep conversation querying with direct source citations instead of relying solely on static database fields , Focuses on maintaining a continuous versioned memory of relationship changes rather than simple status stages