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LightField logoLightField

Research Comparison

Updated

Markdown

Summary

AI-native CRM that autonomously captures customer interactions to build a living world model of the business. Eliminates manual data entry and enables AI agents to manage pipelines, run outbound outreach, and forecast deals.

Funding

$47M Series A

Founded

2020

Team

40

lightfield.com

Critical Notes

- Pivoted from Tome (AI presentation builder, 25M users); headcount cut to start over - Leading feature: complete customer memory that eliminates manual data entry by structuring unstructured communications into a world model - Shortcoming: sweet spot is venture-backed startups under 50 employees; lacks deep customization to replace Salesforce at large enterprises - 5,000+ companies in under a year shows strong product-market fit

Key Features

- Auto-capture of emails, calendar events, and Slack messages to update records without manual entry - Built-in video call recording with searchable transcripts linked to accounts - Temporal context graph preserving how customer data and relationships change over time - AI-drafted follow-up emails using the prospect's own words from previous interactions - Natural language querying for pipeline coverage and deal risks - Agentic workflow builder with webhook triggers and HTTP integrations - Flexible custom schemas that backfill historical data when requirements change

Details

AI-native CRM rebranded from Tome in November 2025 (founded 2020 by Keith Peiris and Henri Liriani). Headcount cut from 70 to 7 during pivot, now ~40-46 with engineering and sales focus. $47M Series A led by a16z with Coatue, Greylock, Lightspeed; prior $80M raised as Tome. 5,000+ companies, 400% net dollar retention. Revenue, traffic, social counts undisclosed. Product-led: free trial, self-serve signup, auto-ingests 2 years of email, calendar, Slack in minutes. Sales-led secondary: demo requests, white-glove migration, targeting $1M-$10M ARR companies, two-way Salesforce/HubSpot sync. Proprietary core; open developer platform via SDK, sandbox, API, CLI. Sweet spot: venture-backed startups under 50 employees. Competes with HubSpot, Attio, Salesforce, not signal/intelligence platforms.

Signalscompared to Common Room

1st Party

  • Email (Google/Outlook), calendar, Slack, Teams, WhatsApp auto-capture; built-in call recording and transcripts; Gong, Granola, PitchSense sync; Linear task creation; two-way Salesforce/HubSpot sync; product analytics tools (unnamed)
  • Website visitor de-anonymization; data warehouse product usage; Marketo/MAP; paid ads; chat/support tools; customer success tools; sales engagement platforms (Outreach, Salesloft, Apollo)

2nd Party

  • Personal LinkedIn account sync (messages and interactions to CRM records, multi-channel outbound); Linear issue management; SDK and code sandbox for developers
  • GitHub, Twitter/X, YouTube, Discord, Slack communities, Stack Overflow, Reddit, G2, community platforms, event tools; no community or open-source listening

3rd Party

  • Enrichment-derived changes (executive hires, funding rounds, headcount growth, job changes); unnamed intent-data and sales engagement platforms; merge endpoints for third-party data quality tools
  • Named intent providers (6sense, Demandbase, Bombora); native technographics; news and events; LinkedIn company page listening; job listings signal

Custom

  • Live REST API with full CRUD (contacts, deals, tasks, transcripts); conversational webhook builder; outgoing HTTP requests; MCP server with 80+ tools; CSV import; SDK, code sandbox, CLI
  • Native Zapier connector; Google Sheets ingestion

1st Party: conversations (email, calendar, Slack, Teams, WhatsApp, calls) with Gong, Granola, PitchSense, Linear, and two-way Salesforce/HubSpot sync. Lacks website, product usage warehouse, MAP, ads, support, CS, and sales engagement integrations. 2nd Party: only personal LinkedIn sync and Linear; no community, social, open-source, or review sources. 3rd Party: enrichment-based firmographic changes (funding, headcount, exec hires, job changes); unnamed intent platforms; no technographics or news signals. Custom: strongest area with full CRUD REST API, conversational webhook builder, outgoing HTTP, MCP server with 80+ tools, CSV import, SDK, sandbox, CLI.

Identitycompared to Common Room

Enrichment

  • Clearbit, Apollo, People Data Labs; ~20 tools run simultaneously (LinkedIn searches, stakeholder finding); org/contact fields (ARR, funding, employee count, social); retroactive custom fields backfilled from past conversations; API-triggered background enrichment; pooled workspace credits
  • Proprietary contact database; AI quality control on enrichment; premium phone waterfall

AI Powered

  • Magic Fields (AI auto-populate); Smart Fields (real-time updates); Skills system with natural-language instructions (e.g. custom dedup logic); LinkedIn connection graph mapped to target accounts for warm intros; relationship-gap and dormant-contact detection via frequency and sentiment
  • AI matching on handles, images, social profiles; auto-enrichment on prospecting

Identity

  • Auto-maps emails, calendar events, transcripts, Slack/WhatsApp messages to contacts and accounts; duplicate flagging on import; unified multi-channel timeline; AI-suggested record updates with user approval
  • Cross-source resolution on social handles or community profiles; anonymous visitor matching; continuous merge across external signals

Identity resolves within own communication tools: maps emails, calendar, transcripts, Slack/WhatsApp to contacts and accounts; flags duplicates on import; unified timeline; AI-suggested updates with approval. Enrichment via Clearbit, Apollo, People Data Labs on pooled credits; ~20 tools for stakeholder finding; retroactive custom fields backfill from past conversations; API-triggered enrichment. No proprietary database or AI quality control. AI: Magic Fields, Smart Fields, Skills system, LinkedIn graph warm-intro paths, dormant-contact detection.

Automationcompared to Common Room

Combine

  • Unsure
  • Multi-source signal combination (job change + product usage + web visit + community)

Score

  • Unsure
  • Custom scoring model builder; person- and account-level scoring across signals

AI Message

  • AI agents run outbound outreach; AI-drafted follow-ups using prospect's own words; inbox warming; multi-channel (email, LinkedIn)
  • Personalization based on prospect behavior (GitHub, community, job change)

AI Research

  • Natural language queries over temporal context graph (pipeline coverage, deal risk, why deals stalled); out-of-box and custom Skills
  • External account research (news, hiring, tech stack, community presence)

Workbench, Alerts, Combine, Score: unsure/undocumented. Workflow: agentic builder with webhook triggers and HTTP actions, pre-built Skills, SDK/sandbox/CLI; no signal-based triggers. AI Message: agents run outbound, drafts follow-ups using prospect's own words, multi-channel sequences, inbox warming. AI Research: natural language queries over temporal context graph on pipeline coverage, deal risk, history; inward-looking only.

Supportcompared to Common Room

Systems

  • Email (support@lightfield.app, security@lightfield.app); in-app AI help chat reading docs; direct Slack line via in-app button; Slack bot for CRM query, update, notifications; enterprise-grade 24/7 support and white-glove migration on higher tiers
  • Ticketing portal; status page; named help desk provider

Content

  • Help Docs, API Docs, Import Guide, MCP docs; weekly founder-authored changelog; embedded video demos; blog deep dives
  • Training academy or certification; video course library

Community

  • Shareable pre-built Skills as Workspace skills; internal shared Knowledge directory; customer stories (Macroscope, SF Compute, Agree)
  • Public forum; peer-to-peer board; template marketplace

...

Status: Watch

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