Abesh T.

thanks for sharing that! appreciate it 🙂

drift between scores: so we have been employing a pretty different approach to just RAG based synthesis done by LLMs, so i dont think the comparison is fair (and i dont want to promote my product here haha) but for accounts with a lot of history, the scores are actually better rather than accounts with thin activity or fresh new accounts. Have you been seeing results from your judge eval layer that is worth continuing to invest in this area? As in, have you caught some egregious failures from the first pass that without the second pass there would be a massive mistake?

Thanks for the quick responses!

oh yeah there are quite a few of the AI CRMs. Lightfield even had a total pivot from their slide building/design focused product to CRM

We've been building insights and risk intelligence on top of existing CRMs and end up speaking to tons of sales teams and founders. Curiously seeing two trends: 1) more AI forward teams taking on work in-house to build CRMs because vibe coding makes it "easier" on paper and 2) people retraining and rethinking their workflows with breeze/agentforce/attio. IMO the CRMs of yesterday and tomorrow are still not addressing the main gap - which is that information does not live in a single silo'ed tool. There's a lot that slips through the gaps (including product roadmaps on Linear, Slack channels, meeting summaries not recorded) and agentic automation is still not deterministic just due to the nature of the underlying LLMs themselves. My biggest pet peeve is regardless of whatever CRMs people use, all decisions are still made in hour long weekly sales reviews, and not in the tool itself.