People still ask candidates, “What’s your 30/60/90 plan?”
Want to work at @notchCX? Here’s the answer I’d love to hear:
30 seconds - Open Claude + Sign-in
60 seconds - Connect it to your tools
90 seconds - Build your first skill and start delivering value.
@CarrierMgmt just published my latest piece on what the EU AI Act can teach U.S. insurers about deploying AI.
The key idea: the control layer matters more than the disclaimer.
AI should know what it can handle, what needs approval, and when human judgment is required.
Worth a read if you’re building AI for insurance 👉
carriermanagement.com/?p=291…
Elool Jacoby retweeted
Today we're introducing ADAM, the operating brain behind Notch.
One layer across your entire agent operation - it spots what can run better, helps your team build the fix, and monitors it in production to keep it accurate and in policy.
The work never stops. Neither does ADAM.
Proud to see Notch named one of @QumraCapital Tomorrow’s Growth Companies 2026 🦾🦾
A meaningful recognition for the team and the work we’re doing to bring enterprise AI into real-world operations.
Elool Jacoby retweeted
Exciting news! Notch has been named one of @QumraCapital’s Tomorrow’s Growth Companies 2026 🎉
Elool Jacoby retweeted
Huge congrats to @RBroshi, @Elooljacoby , and the entire @notchCX team on raising a $30M Series A led by @HeadlineVC, with participation from @lightspeedvp, Jibe Ventures, @IlluminateFM, and Phoenix Financial.
We’ve had the privilege of being Notch’s website and brand design partner, and getting a front row seat to what they’re building.
Their agentic support solution is built to purpose-built to handle highly regulated industries, and is already well under way toward fufilling the ultimate potential of AI: tackling the most complex operations at incredible scale.
Excited to keep building with this incredible team. Notch is just getting started!
Elool Jacoby retweeted
The future of customer service doesn’t include spending hours on hold or having impersonal conversations with automated agents that aren’t even equipped to answer your questions. It looks like @notchCX, building agents that streamline productivity as a whole.
Notch saw this firsthand as an insurer in 2021. AI service agents weren’t built for complex environments where every decision must be traceable. So they took things up a Notch and turned AI into an operating system, connecting customer service conversations directly to real execution.
Lightspeed originally partnered with Notch at their Seed round in 2024, and we’re excited to continue the support in their $30M Series A.
Congratulations to the Notch team, including Co-Founders @RafaelBroshi, @Elooljacoby, and Yuval Peled.
CC: @TalMorgenstern
Elool Jacoby retweeted
Today, we're thrilled to announce that Notch has raised a $30M Series A, bringing our total funding to $45M, led by @HeadlineVC , with participation from @lightspeedvp , @Jibevc, @IlluminateFM , and Phoenix Insurance!
Read how the Notch team brings engineering-grade discipline to no-code AI ops - so teams can iterate fast with near-zero mistakes in production. 🦾
Proud of the work we’re doing at Notch to turn operational know-how into AI driven performance.
Read the full article: forbes.com/sites/keithferraz…
Excited to be part of @TechCrunch's 60 AI Disrupters list!
We’re proud to share that Notch has been named one of the AI Disruptors 60 by Greenfield Partners and @TechCrunch.
This list celebrates companies pushing AI from hype to hard results - and that’s exactly what we’ve set out to do since day one.
We're just warming up 🦾
Customer support teams have had to choose between using AI and great CX. Until @NotchCx came along, which is why we are leading their $15M seed round.
Their platform resolves up to 87% of tickets, cuts enterprise costs by 50%, and has already processed 10M+ tickets for 30+ clients. The best part? Their customers pay only for resolved cases.
Congrats to Co-Founders @RafaelBroshi, @EloolJacoby, Yuval Peled, and the team building the autonomous enterprise.
Cc: @TalMorgenstern
Bottom line
Using heavy LLMs for every agent action is like buying a supercomputer for high-school math. Pick the right model size for the job and you can slash costs while maintaining outcomes - then reserve premium LLMs for where they actually move the needle.
Sources:
NVIDIA’s “Small Language Models are the Future of Agentic AI”
arxiv.org/pdf/2506.02153 arxiv.org/abs/2506.02153