COMPANY INFO
Cohere Inc., founded in 2019 by Aidan Gomez, Ivan Zhang, and Nick Frosst, is a Canadian technology company specializing in artificial intelligence, particularly in natural language processing and large language models. With around 300 to 775 employees, Cohere provides secure, scalable, and private enterprise-grade AI technology through its platform, empowering developers and enterprises to build advanced language AI products. Their website is https://cohere.com.
Cohere Inc. is a leading Canadian artificial intelligence company, founded in 2019, that specializes in enterprise-grade AI technology with a focus on natural language processing and large language models. Cohere empowers businesses and developers to build advanced language AI solutions, prioritizing security, scalability, and privacy.
The Cohere Inc. leadership team blends deep technical expertise with strong business acumen to drive AI innovation and market growth. Cohere Inc. executives include highly accomplished founders, AI research leaders, experienced operators from top global tech firms, and specialized machine learning experts—collectively positioning the company as a critical player in the rapidly evolving AI industry.
As Co-Founder and CEO, Aidan Gomez directs Cohere Inc.’s strategic vision, guides daily operations, and leads the company’s pursuit of AI excellence. Under his leadership, Cohere Inc. has rapidly grown its presence in enterprise AI by advancing large language model technologies, launching new products, and partnering with industry leaders. Gomez is known for spearheading key initiatives that have significantly enhanced Cohere Inc.'s product suite and business impact.
Aidan’s rapid career trajectory is rooted in deep technical experience: he holds a PhD in Computer Science from the University of Oxford and an Honours BSc from the University of Toronto. Before founding Cohere Inc., he co-authored the milestone AI paper “Attention is All You Need,” which introduced the Transformer architecture that revolutionized natural language processing. Gomez previously worked at Google Brain, collaborating with pioneers in the machine learning field.
Martin Kon manages daily operations and oversees Cohere Inc.'s business strategy, focusing on operational efficiency and growth initiatives. He has played a pivotal role in expanding Cohere Inc.'s product offerings and strengthening its market position, ensuring that the company remains competitive as a global AI leader.
Martin boasts a distinguished career at notable organizations including YouTube, Google, and the Boston Consulting Group, where he specialized in business finance, analytics, and strategic operations. He holds a Bachelor of Commerce from McGill University and brings extensive experience in scaling technology-driven organizations.
Jaron Waldman leads Cohere Inc.'s product strategy and execution, focusing on the innovation and delivery of market-focused AI products. He manages multidisciplinary product teams, spearheads initiatives to enhance and launch new AI capabilities, and works to align Cohere Inc.'s offerings with customer needs.
Jaron’s background includes serving as CEO of Rakuten Ready and co-founder & CEO of Curbside (acquired by Rakuten). He has also held key leadership positions at Apple and Placebase, giving him proven expertise in product management, geo-technology, and scaling software development organizations.
Ivan Zhang shapes Cohere Inc.’s strategic direction and drives company innovation, with a particular focus on finance and business operations. He leads initiatives that support Cohere Inc.'s growth, operational efficiency, and competitive standing in the AI marketplace.
Ivan is a finance and operations leader with a Bachelor's Degree in Finance from Gonzaga University and additional studies at Texas Christian University. His expertise in finance and business operations has been instrumental in managing Cohere Inc.'s expansion and securing resources for ongoing innovation.
Nick Frosst leads AI research and development at Cohere Inc., playing a vital role in pushing the frontiers of machine learning and language technologies. He has spearheaded key research initiatives that have contributed significantly to the enhancement of Cohere Inc.’s AI products and overall market position.
Nick’s career is marked by deep research contributions at Google Brain and other technology research roles. His expertise lies in the fields of machine learning, natural language processing, and innovative AI model design.
Shlomo Rakib serves as CEO at Cohere Technologies, steering the company's overall growth strategy and leadership in AI-driven technology solutions. He plays a decisive role in shaping the company's mission and navigating its expansion within the technology sector.
Shlomo is based in Santa Clara, California, and brings experience from prior technology leadership roles. While specific details of his educational background and previous positions are not publicly detailed, his career reflects a strong track record in driving innovation within the tech industry.
Tom Hosking specializes in making large language models practical and useful, contributing directly to the development and optimization of Cohere Inc.’s NLP and AI model capabilities. His work supports the continuous improvement of the company's large-scale machine learning products.
Tom holds a PhD in Natural Language Processing from The University of Edinburgh, an MSc in Machine Learning from University College London, and has also studied physics at the University of Oxford. His background combines deep expertise in computational linguistics and real-world AI deployment.
Komal Teru leads research projects focused on data-efficient AI models and enterprise knowledge graphs, helping Cohere Inc. develop scalable AI/NLP products for business use. His technical leadership contributes to the company's reputation for advanced, research-driven language technologies.
Komal earned a Master of Science in Computer Science from Mila – Quebec Artificial Intelligence Institute and a Master of Technology from the Indian Institute of Technology, Kharagpur. He has held industry research roles at organizations such as Vanguard and Mila, specializing in NLP and machine learning.
Alexander Zdorovets focuses on machine learning engineering at Cohere Inc., playing a critical role in building evaluation frameworks, benchmarking large language models, and supporting model pretraining and fine-tuning. His work is key to ensuring the high quality and reliability of Cohere Inc.’s AI offerings.
Alexander’s background includes a Master's degree in Computational Linguistics from Tomsk State University and experience as a lead data scientist in multiple AI-focused roles, equipping him with in-depth technical knowledge in AI model development and evaluation.
Samuel Cahyawijaya is a machine learning researcher focused on multilingual models and advanced AI research at Cohere Inc., contributing to both product development and the company’s research publications in NLP.
Samuel holds a PhD in Electrical & Computer Engineering from The Hong Kong University of Science and Technology and has an impressive portfolio of computational linguistics and machine learning research spanning several years.
Cohere Inc. is led by a dynamic management team that brings together technical excellence, product leadership, and business strategy. The company’s structure reflects a balance between visionary founders, technology leaders, and expert operators, all working together to drive sustained innovation and market success. The Cohere Inc. management team includes renowned AI researchers, accomplished executives, and skilled engineers who collectively guide the company's strategic direction and execution.
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