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The Ins and Outs of Lab Automation in 2025

In #1: Modular Data and Lab Systems - For years, labs have been racing to build out advanced workcells—purchasing shiny, custom hardware solutions to automate processes. The result has often been a collection of “islands of automation,” each with its own protocols and data silos. Now in 2025, the

From Indication to IND: Building Your Lab Data Tech Stack

Labs need a sophisticated data stack. In fact, an advanced lab data tech stack is just as important as advanced scientific equipment. Modern lab data tech stacks should help labs answer key questions about their data, including: * What did a person do, or what should they do? To understand human

Instrument Reliability and Monitoring: Ganymede's Approach

How often are your analytical instruments used? How often have you wished that you could figure out the sequence of errors that cause your automation runs to fail? How does freezer sample storage temperature affect your assays? All these questions come down to data. You’ve scaled to dozens or

Three Signs It’s Time to Take a Data-Driven Approach to Lab Asset Management

Instruments such as mass spectrometers and flow cytometers form the backbone of every scientific lab. However, despite how important these assets are to every experiment and discovery, scientific instruments also pose challenges. They stop working for mysterious reasons, are slow to operate, and are often opaque. Labs don’t really

Three Key Metrics to Improve Your Lab Asset Utilization and Lab Automation

One of the most common points of failure in lab data automation is deceptively simple: things stop working, and labs don’t know why.  While one or two failures may be fixable by hand, once a lab has scaled up to dozens of workcells or hundreds of analytical instruments, that

6 Questions with Namrata Patil, our Head of Client Experience

A new installment in our "Meet the Team" series.

The Essential Scientific Software Stack for Data at Every Stage of Drug Development

Understanding the key data problems at every stage of drug development, the software tools that will help you solve them, and how to measure the success of those tools.

6 Questions with Danielle Kuhn, Software Engineer at Ganymede

A new installment in our "Meet the Team" series.

SDMS redefined: Making sure you have a solution, and not a swamp, for your scientific data

Scientific data management is more important than ever before. We walk through three key features to look for in any modern SDMS.

Avoiding the data swamp: The transformative power of AI

Our Co-founder and CEO discusses the evolving role of the cloud and AI-powered tools in drug development.

How Not To Get Overwhelmed By “Data Strategy”: Expert Jesse Johnson Shares What it Takes to Succeed with Scientific Data Management

Scientific data management is a crucial part of any lab’s success. Jesse Johnson, author of the Scaling Biotech newsletter, shares insights on how to get data in shape.

Structure and Flexibility: Two Strategies to Take Control of Your Scientific Data Management

ELN. LIMS. QMS. When it comes to lab data, there are a lot of three to four-letter acronyms. For many people, an ELN, shorthand for an electronic lab notebook, is arguably the most important. In fact, at Ganymede, many of the biotech companies we talk with view their ELN as

Four Data-First Strategies for Lab Automation

Imagine the lab of the future. Scientists are able to seamlessly conduct experiments across multiple instruments. With a few clicks, they generate amazing charts and uncover valuable insights. Everything flows smoothly and efficiently. And with that efficiency comes more time in scientists’ days. Time to think, discover, and collaborate.  That’

Mobile Robots, Change Management, and More: Lab Automation Expert David Dambman Shares Insights on Successful Implementation

We’re excited to share the first post in our new Mission Logs series, a set of Q&A style blog posts with industry leaders, thinkers, and doers. Today, we’re showcasing a conversation with David Dambman, a true expert in automation, both in terms of robotics and data.

The Four Corners of Lab Digitalization: Getting the Right Tools in Place

Biotech has long had a tech problem. We’ve said before that when it comes to modern data infrastructure and management, the life sciences are 10 to 20 years behind other industries.  Part of this is due to the very nature of the scientific process and the complexity of biotech/

Digitalization Accelerates, Data Takes Center Stage in Shift to AI, and Talent Upskills: Our 2024 Biotech Data Predictions

The New Year is here, and many folks in biotech are probably ready to say goodbye to 2023. Coming out of the pandemic, the last few years haven’t been easy on the life science industry.  We’ve seen layoffs, waning funding from VCs, and a drop in biotech IPOs.

Is Biotech Behind the Times? Four Data Lessons that Biotech Can Learn from Fintech

On the surface, the life science and finance industries don’t appear to have much in common. Biotech conjures up visions of beakers and petri dishes, while finance evokes an image of endless spreadsheets, stock tickers, and office cubicles.  However, there are actually more similarities between these industries than people

2023 under the microscope: people management is a key data challenge to solve

The new year is just around the corner. We sat down with industry scientists to walk through how we can improve scientific data management in 2024.

Feature spotlight: Universal instrument integration with Ganymede’s Agents

Need to move data from lab instruments to the cloud? We've got just the right out-of-the-box toolkit for you.

6 Questions with Benson Lee, our Co-Founder & Head of Implementations Benson Lee

A new installment in our "Meet the Team" series.

The lab digitalization maturity curve: where do you stand?

A roadmap for bringing science to your data, and making it AI/ML ready.

Wondering how to implement the right lab automation stack?

Here’s a 5 step approach for bringing high throughput to your R&D.

Our new partnership with Kytopen, and the future of lab instrument data

Check out our full press release here for more details. Earlier this week, we announced a new instrument collaboration with Kytopen, a leader in the development and commercialization of non-viral transfection tools for genome engineering. This partnership brings the power of Ganymede’s Lab-as-Code™ platform to Kytopen’s products: * The

Build vs Buy: Do you really have to choose when it comes to instrument integration software?

At some point, every biotech and pharma lab faces the same question when it comes to integrating data from their analytical instruments: should I buy software or build something in-house? Usually, this question comes up when a lab hits a certain critical mass of workflows, instruments, and staff. The amount

How to launch and scale a disruptive startup in an industry that values stability.

Our co-founder, Nathan Clark, sat down with The Scale Up Show's Ryan Staley at the end of last year for a conversation on entrepreneurship and the future of software and AI in biotech that's suddenly very timely. The broad rollout of generative AI tools like ChatGPT

6 Questions with Sami Belkadi, our Product Manager

A new installment in our "Meet the Team" series.

7 tools to take your flow cytometry data visualizations to the next level

Because your flow cytometry analysis should be as colorful as your stained cells.

Lab-as-Code: our approach for (finally) creating a complete digital twin of your lab.

Automation and lab data connectivity are creating haves and have-nots in the biotech space. There are no guides for how to assemble the right data infrastructure nor how to invest your resources in data technologies. So far, the closest we've gotten as an industry to a "guide&

Your favorite scientific analysis. Entirely in the cloud.

At Ganymede, our core focus is on creating 10X scientists. We use our expertise in cloud infrastructure to give you and your team data superpowers. Automation has historically been transformational for scaling up experiments. Think advanced robotics, liquid handlers, and workcells. But, when it comes to analyzing that data, there

How is the cloud transforming lab operations, from R&D to manufacturing?

Our co-founder, Nathan Clark, recently joined IoT One's Erik Walenza on their Industrial IoT Spotlight podcast for a cross-continental conversation on the challenges of integrating early stage R&D lab operations (focused on finding therapeutics) with later stage manufacturing (focused on actually making them). Learn how you

Automating flow cytometry analysis with Ganymede's new Virtualization product.

Last week, we publicly launched our milestone Automated Analysis and Virtualization products. To mark the occasion, we hosted a live webinar to demo how the new products can be used to enable fully cloud native and automated flow cytometry data analysis. Thank you to all of our attendees for making

Accelerate your analysis with Ganymede's new data products.

Data is at the heart of every life sciences company. And yet, all too often, it’s treated more as a by-product than an asset. Data management across the industry typically means putting your data anywhere that’s convenient and compliant, without much concern for accessibility and reusability. Meanwhile, lab

Bloomberg TV's New to The Street Welcomes Our CEO and Co-Founder Nathan Clark

Did you know that today, scientists spend upwards of 20-30% of their work time on data management? Host of Bloomberg TV's New to The Street Jane King recently sat down with our CEO and co-founder Nathan Clark to discuss how Ganymede solves that problem, accelerating research and providing

6 Questions with Andy Caruso, our Head of Engineering

Name: Andy Caruso Title: Head of Engineering Office: Palo Alto Our head of engineering, Andy Caruso, is a wizard at all things cloud infrastructure: performance, security, compliance, and more. He spends his days orchestrating our world-class team of engineers to iterate on and enhance our data platform. Get to know

Our co-founder Nathan Clark discusses modern labs on Qualio's From Lab to Launch podcast.

Today's life sciences labs are over-saturated with data, even at the earliest stage biotechs. This creates severe industry-wide inefficiencies and compliance conundrums. On a human level, the inability to deal with all of this data needlessly limits the impact of each person working at every life sciences company.

Building a bespoke data Flow in Ganymede for flow cytometers.

There's a lot of curiosity surrounding our platform. And it's not surprising. We've taken a decidedly unique approach to lab data. With that though, comes a bit of explanation. The team here at Ganymede have put together an interactive demo that answers many of

Automating beyond the bench - How to streamline the 5 most common analytical lab instruments.

The global lab automation market is projected to reach $7.1 billion by 2028–but most lab automation today refers to robotic systems, storage and retrieval systems, workcells, and other equipment. Take liquid handling, a fundamental component of most automation systems. Motorized pipettes or syringes, attached to a robotic arm,

Biotech and biopharma need to start thinking about physical—not digital—twins.

In biomanufacturing, digital twins are gaining prominence as state-of-the-art technology for digitally mirroring and analyzing physical processes. But, for our co-founders Nathan and Benson, having come from the trenches of fintech where they built ledger systems and machine learning models, this ontology is an inversion of the status quo in

Our first live webinar is now available online!

Last week, we publicly launched our highly-anticipated cloud data platform. To mark the occasion, we hosted our first live webinar. Thank you to all of our attendees for making the event such a success! If you missed it, you can now watch the recorded video below. We were really encouraged

A "balanced" beginning - Ganymede's story.

Ganymede's story begins with our co-founders Benson and Nathan standing outside the offices of our now-partner Apprentice in a cold rain too late in the winter to be snow. They had been exploring and researching the idea of customizing business logic for mapping biological data for several months.

5 ways to improve lab data management at your biotech.

Are you tired of floating through a galaxy of lab data, surrounded by something you know is beautiful and meaningful, with no real way to capture and harness it? Welcome to lab data management in the life sciences industry. Data is critical for every biotech. It’s at the center

Modern data clouds are vital for biotechs. Unlock their power and don't get left behind.

Join us on February 23rd 12PM EST for our 1st live webinar. Register here. Cutting-edge mRNA vaccines, advanced cell & gene therapies, and even bringing back extinct animal species: the pace of innovation is accelerating everywhere and every day in the life sciences. Yet, like virtually all other companies today,

Two software engineers walk into a lab...

What happens when you receive a check in the mail? Say, a settlement from that random class action lawsuit you don’t even remember joining. You open your mobile banking app, snap a photo, and deposit that $8 proudly. The money, like magic, hits your account instantly. But, think back