The AI-powered medium for shaping and sharing concepts, introduced the rent of two key machine studying leaders, Sachs, former head of pure language processing and generative AI at Robinhood, and Archana Sankaranarayanan, former engineering chief at Google and Netflix.
Sachs and Sankar will lead Tome’s rising ML and engineering workforce, as the corporate accelerates constructing its AI-powered communication platform, trusted by greater than 10 million customers globally. The leaders be part of a world-class synthetic intelligence workforce, which incorporates a few of Silicon Valley’s prime machine studying engineers, together with Ves Stoyanov. Stoyanov, Tome’s head of AI, spent practically a decade at Meta’s AI analysis group, the place he led groups to create industry-standard pre-training and giant language mannequin strategies similar to RoBERTa, XLM-R, and MultiRay.
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Tome’s AI-native medium allows anybody to take the seedling of an thought and develop it right into a compelling, multimodal narrative by an clever, prompt-powered canvas. Tome is utilized by thousands and thousands of execs at work, similar to go-to-market groups and founders, because the sooner approach to construct and iterate on pitches, shopper and firm updates, one-pagers, and extra. Freelancers, creatives, authorities leaders, college students, and educators have additionally embraced Tome as a brand new approach to share concepts.
Its intuitive, modern medium has captured the keenness of thousands and thousands of Gen Z customers around the globe and a brand new era of AI-fluent customers who’re quickly adopting new, digital-social-native productiveness functions. The firm’s newest hires will additional drive the modern machine studying and engineering that’s making Tome’s platform more and more refined and personalised.
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Sachs, who will lead Tome’s machine studying and infrastructure teams, beforehand led pure language processing and generative AI at Robinhood, the place she constructed bespoke machine studying options to help buyer communications at scale. Prior to Robinhood, Sachs served as the primary machine studying rent at Marissa Mayer’s Sunshine. Earlier, she labored on personalization and native search at Google. Sachs earned a bachelor’s diploma in utilized arithmetic and pc science at Brown University, the place she researched pc imaginative and prescient.
At Tome, Sachs will oversee machine studying and infrastructure, together with its cutting-edge model-training and techniques for powering seamless, high-quality AI experiences for thousands and thousands of execs. Sachs will assist make Tome more and more tailor-made for groups and enterprises by optimizing its information layer, understanding consumer intent, and integrating with firms’ tech stacks for deeper personalization.
Sankar will oversee Tome’s product engineering group, targeted on constructing core generative capabilities and natively integrating content material from a wealthy set of related apps. Her workforce will discover methods to use AI for interactively translating customers’ intent, concepts, and content material into extremely structured and polished narratives.
Before Tome, Sankar led engineering groups at Google, Netflix, and OpenSea. At Google, Sankar and her workforce had been pivotal in shaping a core side of human-bot interactions, defining the tone, character, and persona of the AI-powered Google Assistant, now generally known as Bard. Partnering intently with Google Brain, her workforce explored cutting-edge methods AI might improve the presentation layer for finish customers. She holds a grasp’s diploma in pc science and human pc interplay from Carnegie Mellon University.
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Sachs and Sankar be part of whereas Tome has quickly honed its AI-powered co-creation capabilities, making its flagship, multimodal narrative creation expertise extra iterative and sensible for on a regular basis work. The firm additionally launched its personal fine-tuned fashions to energy consumer experiences in October, beginning with multimodal web page era, to enhance the standard and velocity of co-creation.
Tome, which continues to set progress information as one of many fastest-growing firms to 10 million customers, has scaled its engineering, product, and design capabilities to help its platform progress. The 70-person firm, headquartered in San Francisco, has been acknowledged by Fast Company’s Innovation by Design Awards within the General Excellence and Enterprise classes and was additionally named one of many prime startups on the rise by LinkedIn.
Chief government officer Keith Peiris and chief product officer Henri Liriani co-founded Tome in 2020. The former Meta product leaders incubated the corporate with Reid Hoffman, a Tome board member. The firm has raised $81 million in funding to date from corporations similar to Lightspeed Venture Partners, Coatue, and Greylock.
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Tome Adds Key Machine Learning and Engineering Leaders to Shape AI-Powered Communication
