Catch raises $5M to expand AI executive assistant

Catch, an AI startup co-founded by Nir Sabato and Yoav Ramon, raised $5 million in a financing round co-led by Entrée Capital and Pitango, with participation from Seedcamp and Factorial Capital. The company intends to use the funding to scale the product and expand its customer base.

The Catch assistant is designed to act like a human executive assistant across email, text, Slack and phone after a brief onboarding sync. During setup the executive explicitly grants access to specific accounts such as inbox, calendar and travel bookings. Catch builds a profile of the executive’s preferences and contacts, then automates routine tasks within the granted boundaries. For example, if a flight is booked without a hotel, the assistant can check rates at the executive’s usual hotel and prompt whether to book, leaving the final decision to the human user.

The startup presents the product as an alternative to building agentic assistants in-house. Catch’s software limits itself to the permissions given by the executive and allows those permissions to be amended at any time. The system will not perform actions outside those permissions.

Catch describes several security controls. The platform uses single sign-on for authentication, stores sensitive credentials and API keys in AWS Secrets Manager, and encrypts data in transit and at rest using AES-256. The service runs on cloud infrastructure with monitoring for unusual activity, intrusion attempts and abnormal API usage.

Nir Sabato, Catch’s CEO, said the company aimed to offer an assistant that operates like a trusted human aide around the clock: “Executives don’t want to build their own AI agents, and in the admin space, they don’t want to approve every step their assistant makes — they want it done right, in a way they can trust.” Sabato described the product as focused on executive administration and noted that human input is required only when a decision genuinely needs it.

Catch charges $99 per month for the service. The company says the assistant begins operating within minutes of syncing and requires no new user interface or tools for users to learn.

The funding comes as more companies pilot agentic AI that performs active tasks beyond analysis and reporting. The development raises questions for enterprises and security teams about how to balance assistant autonomy with data protection and operational control. Catch positions its approach around defined permissions, encryption and continuous monitoring to address those concerns.