“Our research progresses quickly, every action needs to be traceable and verifiable. Scientists and partners can’t be slowed down by siloed systems or a lack of consistent data. Connecting the lab and automating data capture and sharing through technology is a critical priority. Benchling will provide Zealand with the digital data foundation that helps us safely and confidently scale new use cases and partners.”
“IP is one of SNIPR Biome’s strongest areas. We are highly focused on documenting all our science and our results, as we are in a very competitive research area. Benchling helps fulfill our IP requirements as all the data is well collected and date stamped.”
“Our R&D goals at Novonesis are more ambitious than ever, and a strong digital strategy is essential for achieving them, The extension of our partnership with Benchling sets us up to work at speed and scale. We’re able to automate key aspects of R&D and create a unified foundation for advanced data tooling. Thanks to AI-ready data and integrated systems, we can apply machine learning techniques to our work today.”
"We currently have four people working in the lab, and we’re investing a fairly large amount of capital into Benchling because we believe that every last data point must be collected. We’re asking data questions no one has asked because no one really could before. But that also means we must track all of our steps very carefully to catch minor variations or data drift and make sure the machine learning models don’t lie to us.”
“Benchling is our R&D database, so the goal is that everything comes from Benchling when we make any R&D decisions."
"We can look at a plant and simultaneously know not only the plasmid we used, but it’s exact sequence and dozens of aspects about it. This fact takes us from using Benchling as a plant inventory system to Benchling as a fully integrated biotechnology pipeline.”
“The name of the game in data science is making progress really fast, but not so fast that [scientists] don’t write things down. We want to know everything that we ever did, ever."
“For Jounce, the benefits were immediate. All the little things add up to the whole system being more intuitive, more efficient, and ultimately gives scientists more time to think about their experiments instead of thinking about the tools they have to work with.”
“Back then, there wasn’t an all-in-one platform. It’s really inspiring to see us go from where we were then to where we are now, fully automated and unified.”
"Don’t create more work for the sake of creating a system. The system should be in the service of the work you do, not the other way around.”
“It feels good to have something automated with just a single click, where before it took half an hour. As more people are getting familiar with the software, we’re saving even more time."
“If you’re expecting to succeed at all, you should expect a lot of data quickly. It’s much more difficult to go back when you already have a vast amount of data. If you look at any experienced entrepreneur, many of them build systems early with the growth process in mind.”
“It almost feels like an unfair advantage compared to companies not using these types of systems.”
“Benchling offers a very simple way of naming molecules and storing the sequences. it's [now] in a format where we can learn more complex lessons from our historical data. In that sense, managing data in a more structured, formatted way is very powerful.”
"Our research teams have been using Benchling for years, seen impressive results, and are particularly reliant on the solution's powerful collaboration capabilities. With Benchling Validated Cloud, we can now also meet regulatory compliance requirements and operate within the constraints of our rigid LIMS system. Having one R&D data management solution allows us to to carry forward insights and workflows into the more structured and controlled development processes, giving us a real competitive advantage."