77 Benchling Testimonials

“We quickly realized that Benchling has an intuitive and visually striking user interface. This not only makes it a pleasure to use but enables new team members to become proficient very quickly and with minimal training. Furthermore, the lab notebook function helps prevent mistakes in experiments which could cost weeks in research time.”

“Benchling gives transparency across the company. Because everything is in one place, our scientists don't have to jump from system to system. They can quickly get all the details and all the data associated with any construct or experiment. By keeping a good registry of constructs and the associated assay data, we're able to extract learnings from it that we otherwise wouldn't have.”

"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 has given the Serotiny team a 360˚ degree view into our R&D progress. This has improved collaboration and time to insight, and has enabled us to ask new questions we weren’t previously able to.”

“We’ve increased our Benchling footprint 3x in just 1 year, helping us grow effectively. We’ve been focused on our science and building the team, and we’re thankful to have Benchling as a partner as we scale.”

"Data is everything. The quality, the accessibility, communicating results and then making decisions. Having that all in one place as early-on as possible enables you to do better experiments, ask better questions and solve problems more quickly in a way that gets us more value per experiment.”

“Being able to search through protocols, projects, directories for something that was written back in 2012 and is legible, is amazing.”

“Having all of this automated behind the scenes, and integrating with our own training data sets, expedites our experimentalists' lives. They don’t need to think about managing data; they get to see it in their lab notebook in Benchling, and are able to more readily make interpretations.”

“Our codon optimized sequences get popped right into Benchling, and that's step one of the mRNA process. Those sequences are registered in Benchling, the plasmid development teams then know they have something to work with, and experiments happen, and science happens. For me, that's really where it starts. It's understanding how this data is meant to be leveraged.”

“When we first started training machine learning models, we were standardizing and documenting sample info even as we were assembling training data, and it was a laborious process. But once we standardized the sample ontology for input into Benchling that enabled us to build workflows on the machine learning side that were much more streamlined, pulling from standardized labels automatically so that we could train models that optimize across multiple in vivo properties. This enabled us to scale up machine learning.”

“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.”

"Biology for the longest time has been about writing numbers in a paper notebook. Benchling helps us move towards having a way more reliable data capture. It provides us with a unified basis and uniform language in between the teams to capture the data."

“Data plays a fundamental role for Hoxton Farms, so structuring it well is crucial. We need data sets that are consistent and that aren’t confined to individual experiments, but rather run across experiments so we can iterate quickly and optimize our processes.”

"Just being able to share that same language has been so valuable for all our cross-functional projects and pipelines throughout the entire company."

“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.”