Israeli Firm M.ai Gains Official Access to Anthropic's Advanced AI Models
Israeli technology company M.ai has signed an official partnership agreement with Anthropic, granting it authorized service provider status for Anthropic's AI models in Israel. This agreement allows M.ai to develop AI systems and agents based on Anthropic's Claude models, including early access to future developments and discounted pricing compared to Anthropic's public rates. M.ai, part of the Moveo technology group, will be integrated as a Preferred Services Partner in Anthropic's app store, enabling it to offer tailored AI solutions to clients such as banks and businesses.
Anthropic recently released two new AI models, Claude Fable 5 and the more powerful Claude Mythos 5, the latter described as "too dangerous for the public" and initially restricted to security forces. Following U.S. government restrictions on access for non-American citizens, these models were temporarily blocked but have since been partially reinstated with limitations. M.ai CEO Elad Kobi described the launch of Fable 5 in Israel as a major event, highlighting its leading position in the AI field.
The partnership came after M.ai underwent extensive training through Anthropic's academy to properly utilize and build AI agents with Claude's capabilities. Kobi emphasized that while anyone can access Claude, creating large-scale, organizational AI systems requires specialized architecture and integration. M.ai is already developing AI agents capable of self-assessing and improving their own code and quality assurance processes.
Kobi acknowledged the risks of autonomous AI systems but stressed the importance of proper design and safety measures, noting that their systems use multiple agents collaborating on tasks rather than a single agent. He also predicted continuous innovation in AI tools from major players like Anthropic, OpenAI, and Google, with new breakthroughs regularly reshaping the landscape. M.ai aims to help organizations cautiously adopt AI agents with clear safety protocols to achieve effective production-level deployment.
