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Our Story

Amir and Ori's journey in the realm of AI spans two decades, beginning in the halls of academia where they delved into computational biology, to their transformative roles at Mobileye, leading the charge in developing groundbreaking solutions for autonomous driving. Their path in the field continues as they spearheaded AI and engineering efforts at a leading agro-tech startup, even dedicating two years to harnessing AI in the quest for medical drug development. Throughout these ventures, Amir and Ori gained invaluable insights into AI's transformative power across diverse sectors.

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With the advent of large language models and generative AI, Amir and Ori recognized AI's inevitable role as a cornerstone in organizational development. Yet, they understood that integrating AI requires a unique blend of expertise, experience, and a robust toolkit of software engineering skills. Believing that AI is  a game-changer that will redefine products and services, Amir and Ori founded Autom8labs. Their mission is clear: to empower companies to unlock new possibilities and solve complex problems with tailored AI-based solutions. Autom8labs isn't just about AI integration; it's about envisioning the future of business, where every company they partner with sees themselves at the forefront of innovation, leveraging AI to carve out new pathways to success.

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Ori Shachar, CEO

Ori brings over 20 years of leading R&D in AI and automation projects. Ori Led multiple algorithm development teams and autonomous-vehicles projects in Mobileye. He later served as CSO and head of AI at Seetree.ai. Ori is the writer of multiple patents in AI, autonomous vehicles, agro-tech and robotics.

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Amir Harel, CTO

Amir brings over 20 years of leading products and R&D in AI, cloud and full-stack development. Amir Led algorithm development teams and products for in autonomous vehicles at Mobileye. Amir was Director of SW at IKOMED, and later served as head of software engineering at Seetree.ai where he orchestrated digitization and AI transformations for agricultural mega-farm management.

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