Tech12:27 · 50m ago

Arato Raises $10 Million to Simulate and Test AI Systems for Business Readiness

Calcalist

Translated & summarized from Calcalist by baba

Key points

01Arato raised $10 million in seed funding led by TLV Partners to develop its AI testing platform.
02The platform simulates tens of thousands of real user scenarios across multiple data types without code access.
03Founded in 2024 by Shahar Erez, Hilik Paz, and Tal Salmona, Arato employs 23 people in Israel.
04Arato analyzes AI behavior to detect risks, recurring issues, and necessary fixes before and after deployment.
05The platform provides AI assurance to ensure business readiness, regulatory compliance, and improved user experience.
06CEO Erez highlighted the need for AI systems to mature beyond basic functionality to deliver real business value.

In this story

People

Shahar Erez, Hilik Paz, Tal Salmona, Rego Raguram, Mariana Tessel

OrganizationsArato, TLV Partners, Jibe Ventures, Andreessen Horowitz, VMware, Intuit, Stoke, Fiverr

PlacesIsrael

The story · English

Arato, an Israeli startup founded in 2024, has secured $10 million in seed funding to develop its AI testing platform. The funding round was led by TLV Partners, with participation from Jibe Ventures, Rego Raguram (former VMware CEO and Andreessen Horowitz partner), and Mariana Tessel (former CTO of Intuit). Arato’s platform simulates tens of thousands of user scenarios to evaluate AI applications by mimicking real human behavior across text, voice, image, and business data interfaces without requiring code access or complex integration.

The company was founded by CEO Shahar Erez, CTO Hilik Paz, and VP R&D Tal Salmona, who previously collaborated at Mercury and VMware. Erez and Paz also co-founded Stoke, a workforce management platform acquired by Fiverr in 2021 for $95 million. Arato currently employs 23 people in Israel.

Arato analyzes simulation results to identify recurring patterns, potential issues, risks, and necessary fixes in AI deployments. Its platform offers AI assurance before production launch and ongoing monitoring, providing product and development teams with data-driven insights on AI strengths, weaknesses, user experience impact, regulatory compliance, and security. Erez emphasized the shift from simply verifying if software works to assessing if AI systems are business-ready in real-world conditions, noting that many organizations prematurely deploy AI without achieving sustainable value.

Arato aims to help enterprises mature their AI applications to reliably solve business problems and generate value, addressing the challenges of AI accuracy and risk management in critical business contexts.

Read the original at Calcalist