Basetwo

We recently spent a week visiting dozens of chemical and cosmetics manufacturers across France 🇫🇷 The same challenges kept coming up: scale-up, quality, and reducing dependence on lab testing. Thanks to everyone who hosted us!

One week to go! 🚨 On February 26 at 10am ET, we’re hosting a live discussion on AI implementation in personal care manufacturing. Join us for a practical look at where teams can realistically get started!  Register here: hubs.ly/Q043QVYk0

Big news 🚀 Basetwo was featured in @InoviaCapital’s latest report as a leading emerging AI startup. Grateful for the recognition and excited about the impact we’re building in AI for manufacturing. More to come 👀✨

Last week, the Basetwo team came together for a company onsite! It was an incredible few days of collaboration, connection, and a great reminder of the people behind the work. Feeling energized and aligned as we head into the next chapter! 🚀

What is “Good AI” according to the FDA? Last week, the @US_FDA, with the @EMA_News, released 10 guiding principles for using AI in drug development—helping bring clarity to how AI should be designed and governed in regulated environments.

Biologics bottlenecks aren’t caused by lack of data—they’re caused by lack of clarity. Join our Jan 27 (11am ET) webinar to see how AI + predictive modeling are streamlining biologics manufacturing. 👉 Register here: hubs.ly/Q03-zdMn0

In our latest discussion with L’Oréal’s Rohit Jain, we explore how hybrid AI models are opening up the “black box” of beauty manufacturing and enabling real prediction, optimization, and speed. 👉 Watch the full recording here: hubs.ly/Q03WFhT50

We’re one week out! 👀 Join Basetwo Co-Founder Kiefer Eaton and L’Oréal’s Rohit Jain for a practical chat on how AI, hybrid modeling, and digital twins are transforming beauty & personal care manufacturing. 📅 Nov 20, 10:30am EST 🔗 Register: hubs.ly/Q03T2dfD0

As #AIChE2025 wraps up, one thing’s clear: there’s no AIChE without #AI 🤖 From digital twins to process optimization, we’ve loved connecting with innovators shaping the future of #pharma manufacturing!

We’re thrilled to announce our partnership with @nssol_jp! 🇯🇵 Together, we’ll bring Basetwo’s AI-powered digital twin platform to Japanese manufacturers, driving efficiency, quality, and innovation. Read more: hubs.ly/Q03RzM-S0

Developing and scaling cosmetic formulations takes more than intuition; it takes AI. AI-powered digital twins predict how process variables affect quality, detect deviations early, and reduce waste. Read more: hubs.ly/Q03Q2Ftp0

Hello from Japan! 🇯🇵 We’re at CEATEC 2025 this week — it’s been an incredible event so far. We’ve had some great conversations about how Basetwo can help tackle real challenges in manufacturing with AI. Excited for what’s ahead!

Big news! We're proud to share that we've joined the #AWSGenAIAccelerator2025! With @AWSstartups’ support, we’ll scale next-gen generative AI workflows, physics-based AI models & predictive control systems for complex manufacturing. 🚀 Read more: hubs.ly/Q03Myr640

That’s a wrap on Pack Expo 2025! AI-driven manufacturing, digital transformation, and smarter operations were the clear themes. More than ever, it’s about turning innovation into real-world results, not just showcasing technology.

Faster, more efficient batch distillation starts with smarter process development. Hybrid digital twins integrate process data and quality metrics to predict key attributes, reduce bottlenecks, and optimize scale-up. Read the case study: hubs.ly/Q03K_2GK0

From prediction to prevention, AI is setting a new standard in biologics QC. Hybrid digital twins combine real-time data and predictive modeling to detect anomalies, infer hidden variables, and ensure batch-to-batch consistency. Read more: hubs.ly/Q03JXvdw0

We had the pleasure of welcoming NS Solutions to the Basetwo office earlier this week! It was an exciting opportunity to connect in person, share ideas, and explore AI-enabled manufacturing together. 🙌

Predicting emulsion performance isn’t guesswork anymore. Hybrid digital twins combine physics and data to optimize texture, viscosity & stability—reducing batch failures and scaling formulations reliably. Read more: hubs.ly/Q03H2XTv0

Bioprocessing is complex: scaling processes, ensuring quality, and optimizing performance can slow innovation. At the #BioprocessingSummit, we saw how digital twins, deviation detection, and process optimization turn potential into therapies that reach patients faster.

What’s holding teams back from adopting digital twins? 🤔 We explored this in our latest webinar, and the poll results might surprise you. Catch the full recording here: hubs.ly/Q03CLF1x0