Reshape Biotech

Explaining lab automation, AI, and robotics isn’t always easy. That’s why we created this video—to show, not just tell, how the Imaging Device works seamlessly with our software platform. In the video, our very own Diana Zina demonstrates just how simple it is to set up and use. At Reshape, simplicity is our guiding principle. For too long, scientists have been forced to use overly complicated lab automation tools that end up gathering dust—accessible only to experts or specialized operators. We’re going the other way. Our goal is to build tools specifically for scientists—intuitive and purpose-built to support them in their work. We like to say our products should be as easy to use as a microwave or pizza oven. Because if technology isn’t simple, it becomes a barrier. And if it’s a barrier, change doesn’t happen. Watch the video, and if you’re curious about how this could transform your lab, let’s chat!

Wonder how you can make your biological research faster, simpler, and more reliable? Then this might be interesting for you. With Reshape Biotech's platform you can: 1. Automatically log all growth data over time, 2. Analyze growth experiments accurately with one click by our accurate and reliable machine learning models, 3. Start building your company's database of robust biological datasets, essential for developing accurate predictive models, globally. Reach out if you want to know more!

🚀 At Reshape, we believe you should always have the best opportunity to make discoveries. That’s why if you’re a Reshape customer, your product is updated and improved continuously—probably more often than your phone! 📱✨ Right now, things are moving incredibly fast behind the scenes. We’re rolling out tons of exciting updates, from features that streamline workflows to enhancements that unlock new possibilities in predictive AI for microbiology. Every update we push is designed to make your experience better, faster, and more powerful. Want to keep track of what’s new? 🧪 Stay in the loop with our live product update log: https://lnkd.in/dsDe-Q-c

An afternoon in the lab admiring some plates 🧫 (but over the weekend we're happy to have the option to check in on our plates remotely). 🦠👩🏼💻 Wishing you all a great weekend! 🌞 #microbiology #biotech @Reshape Biotech Julia Ekendahl

POV: Even a colleague with a humanities degree (yep, that’s me!) can run experiments with Reshape Biotech’s out of the box technology. Happy Friday from me, Diana Zina, and Anna Brunell! We're coming to you straight from the lab, where we’ve just set up some experiments to be automatically assessed over the weekend, while checking out some previous cool plates 🍄 #microbiology #biotech #ai #fridayfungi

🔎 What new findings would you uncover if you tracked the growth of every experiment? Imagine having a real-time pulse on your research—watching changes unfold, catching patterns early, and identifying opportunities for optimization that may otherwise go unnoticed. With automated tracking, we can move from static snapshots to a dynamic, data-rich understanding of each experiment, fueling insights at every step. So, what would it mean for your lab to bring that level of visibility to every sample, every plate, and every experiment?

🧬 In today’s fast-paced biotech landscape, data is everywhere. But ironically, it’s also nowhere - scattered across different labs, platforms, and even entire company branches. Biotech companies face the reality of fragmented data silos, where valuable insights from one lab can’t easily reach another. And without that complete picture, breakthrough discoveries can slip through the cracks 🧩 This scattered data problem impacts everything from R&D efficiency to innovation speed. But if we can bridge these gaps, we can empower scientists to access, analyze, and build on each other’s findings. With science moving faster than ever, we need data management that can keep up. #biotech #AI #data #microbiology

🎉 Our first webinar is ready, and it couldn't have a better host! Join Magnus Madsen, co-founder and CRO of Reshape Biotech, in an insightful conversation about the current situation of AI in R&D and how to prepare for an AI-driven future. During the 40-minute webinar, Magnus will analyze the state of innovation in biotech labs and propose some strategies companies can follow to prepare their R&D labs for the future. Magnus will reply to all your questions during the last 10 minutes of the webinar.

🎉 Did you hear we're hosting our first-ever webinar—lead by Reshape's co-founder Magnus Madsen! TOMORROW at 15:00 CET | 10:00 EST, Magnus will dive into how AI is reshaping R&D in biotech and what labs can do to stay ahead. In this 40-minute session, he’ll explore the latest trends and propose actionable strategies to future-proof your lab. Stick around for the last 10 minutes, where Magnus will be answering your questions live! Don’t miss out—reserve your spot and join us for an insightful session on the future of biotech innovation! Save your spot 👉 https://lnkd.in/dDbwks7V

🚮 Have you heard the phrase "Garbage in, Garbage out"? It suggests that output quality is directly related to the quality of input. If poor-quality or inaccurate data is used, the resulting outcomes will also be flawed, which is particularly significant in data-driven industries. 🌽 For example, in the food tech industry, the "Garbage in, Garbage Out" principle highlights the importance of high-quality data for product development and safety assessments. If data regarding ingredient sourcing or nutritional content is inaccurate, products can fail to meet regulatory standards. This not only delays innovation but can also threaten public health. 🌾 Similarly, accurate data is crucial for precision agriculture. Farmers rely on data related to soil health, crop yield, and weather patterns to make informed decisions. If this data is inaccurate, the consequences can be challenging: reduced crop yields, increased costs, and negative environmental impacts. 👉 Inaccurate inputs can lead to misguided practices, resulting in unreliable data, wasted resources, and setbacks in research progress. But with precise, AI-driven data collection, labs can ensure accuracy from the start, empowering smarter decisions and accelerating meaningful discoveries.