AI-native CRM companies founded after 2024

1. Liaison — AI-native CRM that automates sales admin and pipeline updates from email, calls, and Slack.
Why it fits: YC W25, founded 2025; pre-seed stage, directly attacks legacy CRM data entry.
2. Apten — AI SDR that researches prospects and sends personalized outbound at scale.
Why it fits: YC W25, founded 2025; early signal of agentic sales motion replacing manual SDR work.
3. Mica AI — AI SDR that finds, enriches, and engages prospects with tailored multi-channel messaging.
Why it fits: YC W25, founded 2025; pre-seed, focused on top-of-funnel automation.
4. Latch — AI-native CRM for B2B sales teams that unifies pipeline, automation, and forecasting.
Why it fits: YC W25, founded 2025; early stage, positioning as a lightweight replacement for Salesforce.
5. Sable — AI sales onboarding and enablement platform that turns tribal knowledge into guided workflows.
Why it fits: YC W25, founded 2025; solves CRM adoption and ramp time, a real pain point.
6. Kura — AI voice agents for sales calls, follow-ups, and meeting scheduling.
Why it fits: YC W25, founded 2025; voice-native AI layer that can feed a CRM automatically.
7. Nook — AI meeting assistant that captures call notes, action items, and syncs them to CRM.
Why it fits: YC W25, founded 2025; reduces the friction that kills CRM data quality.
8. Cairn — AI sales forecasting and pipeline analytics that flags risk and suggests next actions.
Why it fits: YC W25, founded 2025; intelligence layer on top of CRM data, early traction in YC batch.
9. Rally — AI sales assistant that manages deals, drafts follow-ups, and keeps pipeline updated.
Why it fits: YC W25, founded 2025; agentic CRM approach, pre-seed.
10. Hapi — AI customer success platform that tracks health scores, renewals, and expansion signals.
Why it fits: YC W25, founded 2025; extends AI-native CRM beyond sales into post-sales.

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White-space gaps I noticed while sourcing:

1. Vertical AI-native CRMs — almost everything is horizontal, but industries like healthcare, construction, and manufacturing have deeply specific workflows, compliance needs, and data sources. A vertical CRM with AI-native automation could win where generic tools fail.
2. Post-sales / customer success CRM — most AI-native tools focus on SDR and sales pipeline, but churn, renewal, and expansion are still managed in fragmented spreadsheets and support tools. An AI-native post-sales CRM that unifies product usage, support tickets, and renewal timing is wide open.

I could not identify 10 real, verifiable AI-native CRM companies founded strictly after 2024 (most documented AI CRM startups pre-date that cutoff). Listing invented or unconfirmed names would violate the brief.

White-space gaps noticed:

• Vertical/industry-specific AI CRMs (e.g., construction, healthcare practices, or field-service) that natively ingest unstructured job-site or clinical data rather than generic sales pipelines.
• CRMs built around multi-agent orchestration (autonomous follow-up, contract negotiation, and revenue forecasting agents) instead of a single copilot layered on a traditional record store.