From our inception, Albert has taken a different approach to solving the technology gap in the chemical and materials science industry.
As scientists helping scientists, we understand the realities of R&D—the pressure to innovate, the burden of disconnected tools, and how traditional systems like paper notebooks, Excel, and legacy ELNs turn life at the bench into administration rather than discovery.
For the past decade, we’ve been building the technology we wish we had in our previous lives in the lab, perfecting the infrastructure for how to capture a single-source-of-truth for R&D. We’ve invested heavily in a deep and wide foundation, creating an operating system (OS) that unifies data, improves collaboration, and amplifies breakthroughs across global organizations.
As we reflect on how far we’ve come and where we’re headed, our brand has evolved to articulate what has always made Albert different:
Built by chemists, for chemists
Albert wasn’t built by software generalists. Our team has spent decades in some of the world’s largest chemical companies and has firsthand experience with industry R&D. We understand what kind of technology is valuable in the lab and we love rolling up our sleeves and solving challenging problems alongside our partners in the industry we came from.
An operating system, not disconnected tools
We’re not just another ELN or LIMS or inventory management software. Our end-to-end OS provides the infrastructure for every part of R&D, from raw materials to formulation to testing. This connectivity enables faster insight, institutionalized knowledge, and improved collaboration.
AI-native, not bolted on
We have been building AI into our foundation long before the most recent cycle of generative AI. Our OS is designed to capture structured, AI-ready data from the start, so intelligence compounds with every experiment.
Albert Breakthrough uses that data to design experiments, suggest formulation candidates, and predict material properties, while Ask Albert lets chemists query decades of institutional knowledge in natural language. Because these capabilities live directly within the same environment, data flows seamlessly from the lab into domain-specific models. It’s what makes Albert the first AI-native OS for materials science and chemistry.
Data as a strategic asset
Everyone has access to the same general purpose AI tools and public data—your enterprise data is what sets you apart. We help you capture and structure your proprietary R&D data so that your science becomes the model and your data becomes your competitive advantage.
Partnership through transformation
Most importantly, we don’t just sell a piece of software. We understand that digital transformation is about more than the technology—so we embed within your teams, invest in upskilling your people, and iterate relentlessly until measurable impact is achieved.
As we step into this new chapter of Albert, our mission and vision remain the same. We help chemists change the world by building technology that truly understands how discovery happens. With Albert OS, the first AI-native operating system for materials science and chemistry, our goal is to remove every obstacle between curiosity and discovery.
We’re building towards a future where scientists are empowered to invent the materials that make up the world around us. Where chemists can pursue their most ambitious ideas without friction. This is a future where data-driven approaches drive better experiments, institutional knowledge compounds, and scientists uncover breakthroughs that redefine the boundaries of what’s possible.
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