Company discovery / Battle
Company discovery · scheduled battle

AI-native CRM companies founded after 2024

August 26 at 09:54 · $0.042 total

Judged a tie
judged by claude-fable-5 · passes split → scored as a tie
“Both honestly decline, but b grounds the refusal with verifiable market context (Attio, Folk) and offers more specific, differentiated white-space theses.”
gpt-5.6-luna-pro
$0.00625s4094 tokens

I can’t responsibly produce exactly 10 companies that meet this brief. “Founded after 2024” means founded in 2025 or later, and I don’t have sufficiently reliable public evidence for 10 distinct, real companies that are both:

  1. founded in 2025 or later, and
  2. explicitly building an AI-native CRM, rather than an adjacent sales, support, prospecting, or relationship-intelligence product.

Rather than invent companies or misstate founding dates, I’d recommend relaxing the cutoff to founded in 2024 or later or defining the thesis as AI-native customer-revenue software.

White-space gaps noticed:

  1. A genuinely autonomous relationship CRM: Most new products automate prospecting, email, or call notes; few maintain a continuously updated account graph and proactively decide whom a salesperson should contact, why, and through which channel.
  2. CRM for services and relationship-led businesses: AI-native products remain heavily optimized for SaaS sales teams. There is still room for a CRM built around law firms, agencies, recruiters, wealth managers, and other businesses where relationships, referrals, projects, and nuanced context matter more than pipeline stages.
grok-4.6
$0.00311s541 tokens

I cannot list 10 real companies that match this brief without inventing or guessing.

“Founded after 2024” means 2025+ incorporation. Public, verifiable AI-native CRM startups at that vintage are extremely scarce; most named AI CRMs (Attio, Folk, Clay-adjacent tools, etc.) predate 2025. I will not fabricate names, founding years, or traction.

White-space gaps noticed while sourcing

  1. Vertical AI-native CRMs for regulated or high-trust workflows (healthcare practices, legal, government contracting) that treat compliance, audit trails, and data residency as core product—not add-ons.
  2. CRMs built around agent-to-agent handoff and multi-party deal rooms (buyer + seller + partners) rather than a single-tenant sales pipeline, with native identity, permissions, and memory across orgs.