What does it mean to be on #TeamScience? Find out what Benchlings have to say about our mission and culture — and above all, why we’re so passionate about helping scientists power new possibilities for humanity. piped.video/KiBmXAGoMgU

Day 3 of “An agent a day keeps Phase 2 failures away” — data quality Controls are only controls if they behave consistently between experiments. But are you really doing the work of comparing this experiment’s controls against all the previous times you ran the experiment? Or are you just eyeballing that they look ok… Set up a Control Chart Agent to build and alert based on your control charts. Catch contamination or a bad batch of reagents before you’ve spent months going down the wrong path. Sample prompt (feel free to tweak): Create a Control Chart Agent which looks at my experiments from the week and creates or updates a control chart from the previous 5 experiments of the same type. Please alert me if anything falls outside of the UCL or LCL and investigate potential causes.

New from Benchling and @NVIDIAAI: Scientists and AI agents will be able to access RFD4-Proteina for generative protein design through Benchling Model Hub. benchling.com/blog/building-…

Agentic lab-in-the-loop will only happen when dry lab computation and wet lab experimentation come together. See what we’re building with @NVIDIAAI. benchling.com/blog/building-…

We teamed up with @NVIDIAAI to post-train Nemotron 3.5 Super VL on scientific protocol data. It outperformed comparable closed models in troubleshooting and optimizing lab experiments, at a remarkably low cost, representing a promising path for R&D teams to build specialized intelligence they can customize and improve over time with their own data. benchling.com/blog/building-…

Day 2 of “An agent a day keeps Phase 2 failures away” -- AI for increasing creativity Apparently yesterday was too tame, so let’s spice it up with a Hypothesis Dreamer Agent. When used appropriately, AI can actually be a great source of creativity. No one (including AI) knows your science better than you do. But sometimes you need to integrate ideas from other people, other teams, or the broader literature. And that’s exactly where an agent which is constantly synthesizing your research with broader context and dreaming up new hypotheses can help. Sample prompt (feel free to tweak): Please create a Weekly Hypothesis Generation Agent that looks over my work, my team’s work, and the published literature to suggest new hypotheses. These can include new research directions, ideas on why a particular experiment isn’t working, or ways our work could be improved. Give a prioritized list of 3-5 actionable suggestions. Please present all of the sources you used to come to this conclusion. If it’s helpful, please use visual references to understand the reasoning behind the suggestions.

Day 1 of “An agent a day keeps Phase 2 failures away” We're going to start with something simple: a Weekly Report Agent. Every scientist I know has to do some sort of communication about what they’re working on. Whether it’s presenting at a lab meeting or discovery meeting, status updates for their boss, or preparing something for a partner. So why not automate the time consuming retrieval of data and creation of plots with an agent? Sample prompt (feel free to tweak): Please create a Weekly Report Agent that summarizes all of the work that I've done over the past week in a slide deck. Make sure to check all of my notebook entries, any sequences or biological entities that I've created, and any other places I was mentioned. Add visualizations where appropriate and link back to the source data.

30 days of agents that any scientist can instantly setup

Launching what I’m calling “an agent a day keeps Phase 2 failures away” It’s come to my attention that many people don’t see how AI can be helpful for biotech. So, every day for the next 30 days, I will be posting an agent that can be helpful for biotech and pharma companies. The agents will span all departments and phases of R&D. Hopefully this will inspire some folks to use AI in novel ways

With Science Foundries, teams of agents handle routine work and surface insights, while scientists review, approve, and make the final calls. See how it works in this Antibody Discovery Foundry walkthrough with Benchling’s @nlarusstone. benchling.com/blog/introduci…

Benchling Chemistry is officially GA. Capture structured reaction data, calculate stoichiometry automatically, and run ADMET predictions to your heart’s content. benchling.com/blog/benchling…

Introducing Direct Data Share. Keep your scientific data in sync between Benchling and @Snowflake, without building custom data pipelines. Now available in beta: benchling.com/blog/direct-da…

Full house at Benchtalk Boston for @nlarusstone unveiling Science Foundries, a new way to run scientific processes end-to-end with agents and scientists working as a team. benchling.com/blog/introduci…

Breaking: @benchling just launched Science Foundries, moving from helping scientists with individual tasks to managing entire scientific processes with teams of AI agents. biopharmatrend.com/news/benc…

Multi-agent systems for science are finally here! Just launched Science Foundries with agent swarms, natively multiplayer agents, and more fun stuff We wrote up some thoughts on how this will change scientific discovery as well: benchling.com/blog/introduci…

Just announced at Benchtalk: Science Foundries. Foundries bring together specialized agents and models to run entire scientific processes, whether it’s protein production, assay development, or lead optimization. A team of agents handles tasks and coordinates handoffs, while scientists still make the important decisions. More from Benchling’s @nlarusstone: benchling.com/blog/introduci…

Love a good Gantt chart? Use Benchling AI to vibe code your own lab project tracker.

Turn your in vivo data into a report draft in minutes with Benchling AI.

Automate your daily to-do list with Benchling AI. Set up an agent to review your tasks, suggest priorities, and pull in updates from related work, all before you log in each morning.

Build your own Western blot annotator with a single prompt.

last week, @CompoundVC, hosted the biggest data factory event ever. @benchling hosted their amazing space and talked about the future of bio with AI Scientists @scale_AI spoke about recent SOTA benchmarking judgement built around data sales @FabioZB_I talked about the Polyphron tissue foundry @contra showcased their work on creativity training @TryBrickroad and @Freeman_Lewin are some of the most sophisticated data sellers @QuickrBio wow'd us with their better, faster, cheaper platform Dynamical Systems for materials science data factories and Ambitious for their healthy bill of materials. So much happening here. TY @shantenuagarwal for organizing and @nlarusstone for speaking!