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As multimodal AI continues to redefine the future of technology, several innovative startups are leading the charge with groundbreaking solutions that combine text, images, audio, and video for enhanced AI applications. Here are some of the top players making waves: Twelve Labs - Jae Lee, Dave Chung Aimesoft - Tuan Duc Nguyen Uniphore - Umesh Sachdev Reka AI - Dani Yogatama, Cyprien de Masson d'Autume, Qi Liu Hume AI - Alan Cowen GoCharlie - Kostas Hatalis, Ph.D., Despina Christou, Brennan M. Woodruff Read more here: https://lnkd.in/gwpj_Afg

Liquid AI, a Cambridge-based AI startup founded by Ramin Hasani, Mathias Lechner, Alexander Amini, and Daniela Rus, secured $250 million in Series A funding, propelling its valuation to over $2 billion. This milestone reflects the company’s innovative approach to AI, inspired by the efficiency of the Caenorhabditis elegans worm. Their Liquid Foundation Models (LFMs) and STAR architecture offer groundbreaking efficiency, reducing the need for massive computational resources while excelling in real-time adaptability. With strategic partnerships, including AMD Ventures, Liquid AI is set to make a mark in industries from autonomous vehicles to healthcare, proving that AI can be both powerful and resource-efficient. Read more here: https://lnkd.in/gXArxp2H

In our latest episode of Simulated Reality, we dive into the game-changing shift toward AI-native systems with Akshaya Murthy, Director of AI Transformation at Zendesk. From navigating the challenges of legacy systems to making high-stakes build vs. buy decisions, Akshaya shares his expert insights on how enterprises can embrace AI to drive measurable business impact—responsibly and strategically. Key takeaways: -Why AI-first approaches are non-negotiable for modern enterprises. -How to overcome bureaucracy and reskill your workforce for AI. -The secrets to smart vendor selection and avoiding lock-in traps. If you’re rethinking your company’s AI strategy, this conversation is a must-listen. - https://lnkd.in/g9SPXJJx Read the conversation here and let us know your thoughts in the comments - https://lnkd.in/gsd-QnYM

Jome, formerly known as NewHomesMate, successfully raised $9.8 million in Series A funding to expand its AI-powered real estate marketplace for new construction homes. Co-founders Dan Hnatkovskyy and Sofia Vyshnevska led the charge to transform the home-buying process, addressing the U.S. housing shortage by simplifying access to hard-to-find new construction homes. The platform, now operating in 16 major U.S. cities, has already assisted over 100,000 buyers and generated over $250M in sales for homebuilders. With this new investment, Jome is setting the real estate market and create a seamless, joyful home-buying experience. Read the article here: https://lnkd.in/gc-mXus3

Hamming AI, co-founded by Sumanyu Sharma and Marius Buleandra, is tackling one of the biggest challenges in conversational AI: reliability. With $3.8 million in seed funding led by Mischief and supported by Y Combinator, AI Grant, and others, the startup is revolutionizing how AI voice agents are tested, monitored, and governed. By automating testing with AI-driven simulations and real-time analytics, Hamming AI is setting a new standard for reliability in industries like healthcare, law, and insurance, where compliance and accuracy are non-negotiable. As the team puts it, "If 2024 was the year of the prototype, 2025 will be the year of reliability." Read the complete article here: https://lnkd.in/g3KjVS27

SandboxAQ, led by CEO Jack Hidary, has made a bold move into quantitative AI with a $300 million funding round, pushing its valuation to $5.6 billion. Focused on Large Quantitative Models (LQMs), the company is addressing challenges in drug discovery, materials science, GPS-free navigation, and healthcare diagnostics—areas where traditional AI models fall short. As Hidary explains, “The majority of the economy is actually not based on language. It’s actually based on quantitative relationships.” With innovative solutions like the AQBioSim division's work in neurodegenerative diseases and the AQNav system's applications in defense, SandboxAQ is transforming industries reliant on numerical precision. The company plans to expand its team of Ph.D.s and engineers, driving further advancements in sectors like aerospace, biopharma, and financial services. As Yann LeCun notes, "It is quantitative AI that will define work in large sectors of the economy." Read the article here: https://lnkd.in/gHBXSW-a

Anatomy Financial, co-founded by Sasha King and Callum King, has secured $19M in Series A funding to transform financial operations for healthcare providers. With a mission to automate billing workflows, the company’s AI-powered solutions are helping healthcare practices focus on what truly matters—delivering quality care. Sasha, a former Chief Commercial Officer at CareDx, and Callum, a fintech entrepreneur, have combined their expertise to address the industry’s need for more efficient financial automation. This new funding will accelerate Anatomy’s growth and bring its innovative solutions to even more healthcare providers across the United States. Read more here: https://lnkd.in/gxFpsrb7

Databricks, led by CEO Ali Ghodsi, announced its $10 billion funding round, bringing its valuation to $62 billion. The company highlighted its ongoing momentum, surpassing a $3 billion annual revenue run rate and achieving over 60% year-over-year growth. Databricks also introduced its partnership with Twelve Labs to integrate advanced video intelligence into its platform, reinforcing its commitment to helping enterprises unlock the full potential of their data. Read more here: https://lnkd.in/gjwes64M

Under the leadership of João (Joe) Moura, CrewAI emerged as a transformative platform in the agentic AI space, enabling businesses to automate and integrate workflows with AI-driven agents. The platform’s partnerships with Cloudera, Cerebras Systems, and IBM played a pivotal role in solidifying its enterprise capabilities, offering seamless integrations and cutting-edge performance. With its dual offerings—an open-source framework for experimentation and an enterprise-grade platform for production—Crew AI demonstrated how autonomous agents could optimize processes, enhance productivity, and redefine innovation across industries. Read more here: https://lnkd.in/gysycbh3