Catch, an artificial intelligence agent focused on executive administration, has officially launched with $5 million in seed funding. The round was co-led by Entrée Capital and Pitango, with participation from Seedcamp and Factorial Capital. The Tel Aviv based startup has already scheduled more than 12,000 meetings, delegated more than 20,000 tasks and handled more than 200,000 emails since its quiet rollout.
Addressing an Overlooked Administrative Burden
While much of the AI market has concentrated on coding, research and content generation, Catch is targeting the routine administrative work that consumes executive time. The company says its agent connects to email, calendar and phone, learns user preferences without lengthy configuration and begins acting before being asked. It can operate through text, email, Slack or phone rather than forcing executives to adopt a separate interface.
Founders with Investment and Technical Roots
Nir Sabato, Catch's co-founder and chief executive, previously served as an early-stage investor at Entrée Capital, where he supported companies such as Weavy before its acquisition by Figma. He also held strategy roles at Fiverr and BLEND. His co-founder and chief technology officer, Yoav Ramon, was the first employee at Hi Auto and later served as CTO at Nym, working on large language models in regulated healthcare, while the founders interviewed more than 100 executive assistants before writing code.
Trust, Oversight and Transactional Control
Catch is designed to take action rather than simply provide reminders, but it keeps financial decisions under human control. For example, if the system notices a flight reservation without a hotel, it can check rates at the executive's preferred property and request approval before booking. Every financial transaction requires explicit approval, an approach Sabato says helps avoid the trust issues associated with unsupervised AI agents.
Early Traction and Competitive Landscape
Catch launched four months ago and reports hundreds of paying customers, including founders of AI companies and senior legal professionals. Sabato says most users pair Catch with Claude or ChatGPT for analysis and writing while assigning execution tasks to Catch. He considers Howie, Superhuman and Jace direct competitors, but argues that many alternatives stop at reminders and suggestions.
Funding Strategy and Market Outlook
The seed round was oversubscribed, and the founders deliberately kept the financing small to reflect the efficiency of their engineering team. Sabato noted that what used to require 40 people can now be accomplished with five, given the quality of the engineers involved. Most of the new capital will be used to improve the travel product and expand the user base primarily in the United States and to a lesser extent in Europe.
A Shift from Build-Your-Own Agents
Sabato is sceptical of the trend that encourages users to assemble their own AI agents through no-code platforms. He believes that meaningful, secure and useful agents are harder to build than they first appear, pointing to the rapid rise and fall of AutoGPT as a warning. Catch's leadership expects specialist-built agents to spread beyond administration into marketing, commerce and consumer sectors over time.
By combining investor confidence, a focused product and a clear point of view on the future of AI agents, Catch is positioning itself as a practical alternative for executives who want administration handled without micromanagement. Its early adoption suggests that demand exists beyond technical founders and may extend into a broader executive audience. The new funding gives the company room to refine its travel capabilities and scale in key markets, setting up the next phase of its growth.