Netic founder claims AI-handled interactions have generated $600m for clients
"It's not demos. We'll pull up and show show a live deployment, right? Because like if it's working and I have it, why can't you just show you what this customer is making that you know we have, you ask me about my northstar recently, we have made so far, I think over $600 million for our customers that have been really generated from AI handled interactions."
About this episode
Melisa Tokmak, founder and CEO of Netic, describes building AI agents and workflow software for “essential services” businesses such as HVAC, plumbing, electrical, roofing, automotive, hospitality and pet services. She says Netic sits between enterprises and their customers, handling intake across voice, text and web, and routing work according to operational constraints such as technician specialisms, urgency and customer value.
Tokmak argues that many operators in these sectors are not technologically backward, and says some move rapidly when the return is clear, citing a deal she says was closed in 14 days for “like a half a million” dollars. She also claims that more than 70% of Netic’s customers are now “Netic-first”, with the first customer interaction handled by Netic’s AI agents.
On competition with frontier model providers, she contends that labs focus on general capabilities while companies like Netic must build domain-specific orchestration, product and operational “last mile” layers. Tokmak also discusses why she chose to build a software platform rather than pursue an AI-enabled services roll-up strategy.
The conversation touches on private equity adoption: Tokmak says the playbook is shifting towards creating tangible operational value, and claims Netic has generated “over $600 million” in customer revenue from AI-handled interactions, while emphasising live deployments over demos. She also outlines hiring for “agency” and long-term follow-through, and expresses optimism about AI’s potential in education.
Key takeaways
- Netic targets large “essential services” enterprises, using AI agents to manage customer intake and operational routing across channels.
- Tokmak says operational complexity (specialisms, urgency, scheduling, customer value) makes these workflows harder than generic customer support.
- She claims over 70% of Netic’s customers are “AI-first”, with first contact handled by Netic agents.
- Tokmak says a recent enterprise contract of “like a half a million” dollars closed end-to-end in 14 days.
- She argues robotics is further off for many home-service tasks due to environment variability and dexterity limits, plus a “human element” in crises.
- Tokmak claims Netic has generated “over $600 million” for customers via AI-handled interactions, and says the company shows live deployments rather than demos.