Reimagining biodefense at the intersection of AI, biology and urgency.
Updated
January 8, 2026 6:34 PM

Through computational tools, Valthos analyzes biological data to design adaptive solutions against emerging threats. PHOTO: VALTHOS
Valthos has raised US$30 million in seed funding, led by the OpenAI Startup Fund, Lux Capital and Founders Fund, to advance its mission of building next-generation biodefense systems.
The company’s work comes at a time when biotechnology is evolving at an unprecedented pace. Biotechnology is moving at record speed. These new tools can lead to life-changing medical discoveries, but they also bring the risk of dangerous biological agents being developed faster than ever.
“The issue at the core of biodefense is asymmetry”, said Kathleen McMahon, co-founder of Valthos. “It’s easier to make a pathogen than a cure. We’re building tools to help experts at the frontlines of biodefense move as fast as the threats they face”. The gap Valthos aims to close is between the rapid rise of biological threats and the slower pace of developing cures. Therefore, the company is developing AI systems that can rapidly analyze biological sequences and significantly shorten the time needed to design medical countermeasures.
“In this new world, the only way forward is to be faster. So we set out to build a new tech stack for biodefense”, said Tess van Stekelenburg, co-founder of Valthos. “This software infrastructure strengthens biodefense today and lays the groundwork for the adaptive, precision therapeutics of tomorrow”.
The company was founded by van Stekelenburg, a partner at Lux Capital and McMahon, the former head of Palantir’s Life Sciences division. Together, they’ve built a multidisciplinary team of experts from Palantir, DeepMind, Stanford’s Arc Institute and MIT’s Broad Institute, bringing together deep experience in software engineering, machine learning and biotechnology.
“Technology is moving fast. An industrial ecosystem of builders, companies and solutions further democratizes AI to provide broad resilience, and ensures the U.S. continues to lead as AI increasingly powers everything around us. As AI and biotech rapidly advance, biodefense is one of the new industry verticals that helps maximize the benefits and minimize the risks”, said Jason Kwon, OpenAI’s Chief Strategy Officer. “Valthos is pushing the frontier of protection and defense in one of the most strategic intersections of multiple world-changing technologies, and with the team to do it”.
Looking ahead, Valthos plans to expand its engineering team and scale its software infrastructure for both government and commercial partners — moving closer to its goal of enabling faster, smarter and more adaptive biodefense capabilities.
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Sonilo and Shutterstock are betting that licensed training data could define the future of AI music.
Updated
May 13, 2026 3:39 PM

A human operating a digital turntable. PHOTO: UNSPLASH
As copyright disputes continue to grow around AI-generated music, Sonilo, the world’s first professionally licensed video-to-music AI platform, has partnered with Shutterstock to train its models on licensed music catalogs.
The agreement gives Sonilo access to Shutterstock’s music library for AI model training. According to the companies, it is Shutterstock’s first partnership with a video-to-music AI platform and the timing is significant. AI music companies are facing growing pressure over how their systems are trained. Artists and record labels have increasingly challenged the use of copyrighted music in AI datasets, especially when licensing agreements or compensation structures are unclear.
That tension has created a divide across the industry. Some companies have continued building models around scraped or disputed data. Others are trying to position licensing as part of the product itself.
Sonilo falls into the second group. The company says its models are trained only on licensed material where artists and rights holders have agreed to participate and receive compensation. The Shutterstock partnership strengthens that position while giving Sonilo access to a larger pool of commercially cleared music.
The collaboration also points to a broader change happening inside generative AI. As AI tools move into commercial production, companies are being pushed to show not just what their models can generate, but also where their training data comes from.
Sonilo’s platform is built around video rather than text prompts. The system analyses footage directly, studies pacing and emotional tone, then generates an original soundtrack to match the content. The company says this removes the need for manual music searches, syncing or editing workflows. The generated tracks are cleared for commercial use across social media, branded content and broadcast production.
Shawn Song, CEO of Sonilo, said: "Music has always been the last unsolved layer of video creation, and video has always carried its own soundtrack. We built Sonilo to hear it and compose from it, without a single text prompt. But how we build matters as much as what we build. While others have chosen to take artists' work without permission and charge creators for the privilege, we've chosen a different path—one where artists are compensated from day one. Partnering with Shutterstock reflects that standard. Every model we train meets a bar the music industry can stand behind, because the most innovative AI platforms don't have to come at the expense of the artists who make all of these possible."
For Shutterstock, the deal expands the company’s growing role in generative AI infrastructure. The company has increasingly focused on licensing content for AI systems across images, video and music.
Jessica April, Vice President of Data Licensing & AI Services at Shutterstock, said: "AI innovation depends on access to high-quality, rights-cleared content and trusted licensing partnerships. Sonilo's approach reflects the growing demand for responsibly sourced training data and commercially safe AI workflows. We're pleased to support companies building generative AI products with licensed content and scalable data solutions that help accelerate innovation while respecting creators and rights holders."
The partnership also comes as Sonilo expands into creator and developer ecosystems. Earlier this month, the company launched as a native node inside ComfyUI, an open-source AI workflow platform used by millions of creators. Sonilo also offers API access for integration into creator tools, video platforms, game engines and other AI systems.
As AI-generated music becomes more common across advertising, creator platforms and digital media, the industry’s focus is shifting beyond generation alone. Questions around licensing, ownership and compensation are increasingly shaping how AI music companies position themselves and build trust with creators.