TL;DR:
- Tome, the AI-powered idea-sharing platform, welcomes Sachs and Sankar as machine learning leaders.
- They will oversee machine learning, infrastructure, and product engineering.
- Sachs brings expertise from Robinhood and Google, while Sankar’s background includes Google, Netflix, and OpenSea.
- Tome aims to refine its AI platform for over 10 million users worldwide.
- Recent upgrades focus on multimodal narrative creation and personalized experiences.
- The company, headquartered in San Francisco, is among the fastest-growing startups.
- Tome has secured $81 million in funding from prominent firms.
Main AI News:
In a significant move to fortify its AI-powered communication platform, Tome, the acclaimed medium for shaping and disseminating ideas, proudly announces the recruitment of two esteemed leaders in the realm of machine learning and engineering. Sachs, renowned for her role as the former head of natural language processing and generative AI at Robinhood, and Archana Sankaranarayanan, a distinguished engineering leader who has left her indelible mark at Google and Netflix, now join the Tome team.
Sachs and Sankar are poised to spearhead Tome’s burgeoning machine learning and engineering department, steering the company towards its ambitious goal of refining and enhancing its AI-powered communication platform, which already enjoys the trust of over 10 million users globally. These visionary leaders are set to complement Tome’s existing top-tier artificial intelligence squad, featuring luminaries like Ves Stoyanov, Tome’s head of AI, who boasts an illustrious career at Meta’s AI research group, where he led groundbreaking teams responsible for pioneering industry-standard pre-training and large language model techniques, including RoBERTa, XLM-R, and MultiRay.
Tome’s unique AI-native medium empowers individuals from diverse backgrounds to nurture the seeds of their ideas, transforming them into captivating multimodal narratives through an intelligent, prompt-driven canvas. It has gained substantial traction among professionals, such as go-to-market teams and founders, as the go-to solution for expeditiously crafting and iterating on pitches, client updates, company reports, and more. Additionally, freelancers, creatives, government officials, students, and educators have embraced Tome as a novel avenue for sharing their thoughts and ideas.
The company’s intuitive and innovative medium has ignited the enthusiasm of millions of Gen Z users worldwide, as well as a new generation of AI-savvy users who are rapidly embracing cutting-edge digital-social-native productivity tools. With the recent additions to its team, Tome is poised to further advance its pioneering machine learning and engineering efforts, resulting in an increasingly refined and personalized platform.
Sachs, the seasoned expert tasked with leading Tome’s machine learning and infrastructure teams, brings with her a wealth of experience from her tenure as the head of natural language processing and generative AI at Robinhood. Her track record includes developing tailored machine learning solutions to support large-scale customer communications. Before Robinhood, Sachs made history as the inaugural machine learning hire at Sunshine, spearheaded by Marissa Mayer, and she also contributed significantly to personalization and local search at Google. Sachs holds a bachelor’s degree in applied mathematics and computer science from Brown University, where her research focused on computer vision.
At Tome, Sachs will helm the machine learning and infrastructure efforts, overseeing cutting-edge model training and systems designed to provide seamless, high-quality AI experiences to professionals worldwide. Her mission includes optimizing the data layer, deciphering user intent, and facilitating deeper personalization through integration with companies’ tech stacks, ensuring that Tome remains tailored for teams and enterprises.
Sankar, on the other hand, will lead Tome’s product engineering division, focusing on developing core generative capabilities and seamlessly integrating content from a diverse array of interconnected applications. Her team will explore innovative ways to utilize AI for the interactive translation of users’ intentions, ideas, and content into impeccably structured and polished narratives.
Sankar brings a wealth of experience from her previous roles leading engineering teams at tech giants like Google, Netflix, and OpenSea. Notably, at Google, Sankar played a pivotal role in shaping human-bot interactions, defining the character and personality of the AI-powered Google Assistant, now known as Bard. Her close collaboration with Google Brain led to the exploration of cutting-edge AI techniques to enhance the presentation layer for end-users. She holds a master’s degree in computer science and human-computer interaction from Carnegie Mellon University.
These strategic appointments come at a time when Tome is rapidly advancing its AI-powered co-creation capabilities, making its flagship multimodal narrative creation experience more iterative and practical for everyday use. The company recently introduced fine-tuned models to elevate user experiences, starting with multimodal page generation in October, thus increasing the quality and speed of co-creation.
Tome continues its impressive growth trajectory, establishing itself as one of the fastest-growing companies to reach the 10 million user milestone. To support its platform’s expansion, the company has expanded its engineering, product, and design functions. Headquartered in San Francisco, Tome has garnered recognition from Fast Company’s Innovation by Design Awards in the General Excellence and Enterprise categories. Additionally, it has been identified as one of the top startups on the rise by LinkedIn.
Tome, founded in 2020 by Chief Executive Officer Keith Peiris and Chief Product Officer Henri Liriani, boasts a legacy incubated by former Meta product leaders, with the invaluable support of Reid Hoffman, a distinguished member of Tome’s board. The company has secured a remarkable $81 million in funding from prominent firms such as Lightspeed Venture Partners, Coatue, and Greylock, further cementing its position as a pioneering force in AI-powered communication and ideation.
Conclusion:
The addition of machine learning experts Sachs and Sankar to Tome’s team signifies a significant step toward refining its AI-powered communication platform. This strategic move is set to enhance user experiences and further solidify Tome’s position in the rapidly growing market of AI-driven ideation and communication tools. With their combined expertise and Tome’s recent developments, the company is well-positioned to meet the evolving needs of professionals and creative individuals worldwide.
