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At UniteLabs we think that only tells part of the story, and misses the most important deliverable: science-ready data.",[],{"type":318,"text":344,"spans":345,"direction":315},"When a lab orchestrates its “islands of automation”, it can reduce errors, increase throughput, win back time for science, and more. All of which are great benefits, no doubt.",[346],{"start":347,"end":348,"type":349,"data":350},156,164,"hyperlink",{"id":351,"type":299,"tags":352,"lang":17,"slug":353,"first_publication_date":354,"last_publication_date":355,"uid":356,"url":357,"link_type":23,"isBroken":8},"ajE2MxEAACkAf4RB",[302],"6-benefits-of-lab-automation-and-why-most-labs-miss-out","2026-06-16T12:34:52+0000","2026-06-17T14:49:10+0000","benefits-lab-automation","/resources/blog/benefits-lab-automation/",{"type":318,"text":359,"spans":360,"direction":315},"However, we think that a higher goal of lab orchestration is to deliver useful data, and close the loop from result back to the next experiment. 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But the lab as a whole didn’t get smarter.",[],{"type":378,"text":379,"spans":380,"direction":315},"heading2","What Is Lab Orchestration? 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Fair question.",[],{"type":318,"text":407,"spans":408,"direction":315},"We believe that automation is simply one instrument doing a task without human hands involved, while orchestration covers a whole lab run across many instruments, with data and people in the loop too.",[409],{"start":410,"end":411,"type":349,"data":412},16,26,{"id":413,"type":299,"tags":414,"lang":17,"slug":415,"first_publication_date":416,"last_publication_date":417,"uid":415,"url":418,"link_type":23,"isBroken":8},"aeuO4BIAACsA8Q09",[302],"what-is-lab-automation","2026-04-26T12:11:22+0000","2026-06-17T14:50:36+0000","/resources/blog/what-is-lab-automation/",{"type":318,"text":420,"spans":421,"direction":315},"\"UniteLabs was born from the frustrating reality that proprietary black boxes were dictating what was scientifically possible,” says Dr. Lukas Bromig, co-Founder of UniteLabs. ",[],{"type":318,"text":423,"spans":424,"direction":315},"“Our team draws on scientific expertise and best practices from software engineering to create a platform where all automation is expressed in pure Python. This means AI models gain full visibility into, and control over, every step of the process.\"",[],{"type":318,"text":426,"spans":427,"direction":315},"A lot of what gets sold as “lab orchestration” is really just automation with a scheduler bolted on. It completely misses the question of whether scientifically useful data comes out the other end.",[428],{"start":429,"end":430,"type":349,"data":431},146,172,{"id":432,"type":299,"tags":433,"lang":17,"slug":434,"first_publication_date":435,"last_publication_date":436,"uid":437,"url":438,"link_type":23,"isBroken":8},"ahBylBEAAC4AD2ae",[302],"lab-data-management-explained","2026-05-25T15:56:27+0000","2026-06-17T14:49:37+0000","lab-data-management","/resources/blog/lab-data-management/",{"type":391,"url":440,"alt":441,"copyright":326,"dimensions":442,"id":444,"edit":445},"https://images.prismic.io/unitelabs/aW-P0QIvOtkhBvVJ_Automate.png?auto=format%2Ccompress&rect=0%2C22%2C2072%2C1036&w=1000&h=500","UniteLabs is modular by design, and scalable by nature",{"width":395,"height":443},500,"aW-P0QIvOtkhBvVJ",{"x":26,"y":446,"zoom":38,"background":330},22,{"type":318,"text":448,"spans":449,"direction":315},"To take a musical analogy: automation is like a talented musician who can play their part effectively. Orchestration is the conductor who coordinates the whole ensemble.",[],{"type":378,"text":451,"spans":452,"direction":315},"Islands of Automation: A Problem Worth Solving",[],{"type":318,"text":454,"spans":455,"direction":315},"Now we arrive at a challenge that all lab automators, scientists, and platform leaders will recognize: proprietary vendor software.",[456,462,468],{"start":457,"end":458,"type":349,"data":459},38,52,{"id":460,"type":15,"tags":461,"lang":17,"slug":31,"first_publication_date":32,"last_publication_date":33,"uid":34,"url":35,"link_type":23,"isBroken":8},"abA3BxEAACIAb8C9",[],{"start":463,"end":464,"type":349,"data":465},54,64,{"id":466,"type":15,"tags":467,"lang":17,"slug":53,"first_publication_date":54,"last_publication_date":55,"uid":56,"url":57,"link_type":23,"isBroken":8},"abF1UBEAACIAchKF",[],{"start":469,"end":470,"type":349,"data":471},70,86,{"id":472,"type":15,"tags":473,"lang":17,"slug":43,"first_publication_date":44,"last_publication_date":45,"uid":46,"url":47,"link_type":23,"isBroken":8},"abKGpREAACMAc_6h",[],{"type":318,"text":475,"spans":476,"direction":315},"Typically, a lab manager or platform leader buys new devices as the science requires. And each of these devices runs on software that cannot easily be connected to the software from other vendors. So they end up automating the task, but not the workflow.",[],{"type":318,"text":478,"spans":479,"direction":315},"Or to make all devices play nicely, they’re forced to buy them from the same vendor, which don’t necessarily meet their needs (or budget).",[],{"type":318,"text":481,"spans":482,"direction":315},"Our customer Cradle faced this challenge: their quality control pipeline included four instruments (a Tecan Fluent liquid handler, Tecan Spark plate reader, Revvity LabChip analysis kit, and a NanoTemper Prometheus for protein analysis).",[],{"type":318,"text":484,"spans":485,"direction":315},"As a result, their scientists spent too much time toggling apps, manually uploading files, and losing sample lineage. Cradle’s automation lead was spending roughly half a day per week just on data handling. Yet the data was still too messy to feed back into model training.",[],{"type":378,"text":487,"spans":488,"direction":315},"What Lab Orchestration Coordinates (Four Layers, Not One)",[],{"type":318,"text":490,"spans":491,"direction":315},"Now that we’ve covered the difference between lab orchestration and mere automation, let’s split it out into layers. Most orchestration tools stop at the first layer:",[],{"type":318,"text":493,"spans":494,"direction":315},"Lab instruments from any vendor, sequenced into one workflow.",[495],{"start":26,"end":496,"type":497},15,"strong",{"type":318,"text":499,"spans":500,"direction":315},"Science-ready data captured in context, with full lineage. That’s the layer most tools skip.",[501],{"start":26,"end":502,"type":497},18,{"type":318,"text":504,"spans":505,"direction":315},"People: giving the right task to the right person at the right time. Scientists stay in control.",[506],{"start":26,"end":507,"type":497},7,{"type":318,"text":509,"spans":510,"direction":315},"The loop: results flow back into the next experiment’s design as a closed loop.",[511],{"start":26,"end":512,"type":497},8,{"type":391,"url":514,"alt":515,"copyright":326,"dimensions":516,"id":517,"edit":518},"https://images.prismic.io/unitelabs/aaFvg8FoBIGEg6tV_Cradlecasestudyheroimage.jpg?auto=format%2Ccompress&rect=0%2C17%2C2000%2C1300&w=1000&h=650","Cradle case study hero image",{"width":395,"height":396},"aaFvg8FoBIGEg6tV",{"x":26,"y":519,"zoom":38,"background":330},17,{"type":318,"text":521,"spans":522,"direction":315},"To see what this looks like in action, let’s revisit our customer Cradle. After integrating their workflows with UniteLabs and Benchling, their scientists can now trigger a full quality control run from the latter in just three clicks, with all results and raw data written to the LIMS.",[523],{"start":524,"end":525,"type":349,"data":526},80,91,{"id":527,"type":299,"tags":528,"lang":17,"slug":530,"first_publication_date":531,"last_publication_date":532,"uid":533,"url":534,"link_type":23,"isBroken":8},"aZW_jBEAACMAKELb",[529],"Case Study","how-cradle-scales-next-gen-lab-automation-with-unitelabs--benchling","2026-02-18T16:30:47+0000","2026-06-17T14:48:44+0000","cradle-benchling-case-study","/resources/blog/cradle-benchling-case-study/",{"type":318,"text":536,"spans":537,"direction":315},"The scientist is put back in the center of lab automation.",[],{"type":378,"text":539,"spans":540,"direction":315},"Why Schedulers Alone Won’t Get You There",[],{"type":318,"text":542,"spans":543,"direction":315},"By this point, you might be thinking, “Can’t we just add a scheduler?” Let’s explore that.",[],{"type":318,"text":545,"spans":546,"direction":315},"It’s true that monolithic automation stacks play nicely together. That’s what they’re designed for. But the moment you add a third-party instrument, the coordination breaks. ",[],{"type":318,"text":548,"spans":549,"direction":315},"One of our more advanced customers was hitting a 6-month integration ordeal every time they added a new device. After onboarding with UniteLabs, new instruments could be integrated within a day.",[],{"type":318,"text":551,"spans":552,"direction":315},"This is the true value proposition: no rip-and-replace project. We unify the unique combination of devices you already have, and will support any that you add in future.",[],{"type":318,"text":554,"spans":555,"direction":315},"Another advanced customer of ours went from months to weeks (10x faster) deploying methods across a 250-unit liquid handler fleet, because orchestration meant version control and remote deployment, not 250 manual installs.",[],{"type":391,"url":557,"alt":558,"copyright":326,"dimensions":559,"id":561,"edit":562},"https://images.prismic.io/unitelabs/aiqBmKlQnVZVEM6T_Labautomator3.jpg?auto=format%2Ccompress&rect=0%2C0%2C2083%2C1458&w=1000&h=700","A lab automation engineer working with her laptop",{"width":395,"height":560},700,"aiqBmKlQnVZVEM6T",{"x":26,"y":26,"zoom":38,"background":330},{"type":378,"text":564,"spans":565,"direction":315},"What to Look For in a Lab Orchestration Platform",[],{"type":318,"text":567,"spans":568,"direction":315},"If you're looking for a lab orchestration solution, here are some features to look out for when buying:",[569],{"start":570,"end":571,"type":349,"data":572},42,50,{"id":573,"type":15,"tags":574,"lang":17,"slug":18,"first_publication_date":19,"last_publication_date":20,"uid":21,"url":227,"link_type":23,"isBroken":8},"aXCz0BAAACEA8zfd",[],{"type":576,"text":577,"spans":578,"direction":315},"list-item","Instrument-agnostic. Works across vendors you already own, no rip-and-replace.",[579,583],{"start":26,"end":580,"type":349,"data":581},19,{"link_type":133,"url":582,"target":136},"https://sila-standard.com/standards/",{"start":26,"end":580,"type":497},{"type":576,"text":585,"spans":586,"direction":315},"Data comes out science-ready, with lineage, not trapped in per-instrument files.",[587],{"start":26,"end":588,"type":497},28,{"type":576,"text":590,"spans":591,"direction":315},"Programmable / code-level access, so the lab can build, and not just configure.",[592],{"start":26,"end":593,"type":497},32,{"type":576,"text":595,"spans":596,"direction":315},"Closes the loop: results feed back into workflow logic and experiment design.",[597],{"start":26,"end":496,"type":497},{"type":576,"text":599,"spans":600,"direction":315},"Sits alongside your LIMS/ELN (e.g. Benchling), and doesn't try to replace them.",[601],{"start":26,"end":588,"type":497},{"type":576,"text":603,"spans":604,"direction":315},"Scales from one lab bench to a fleet without re-platforming.",[605],{"start":26,"end":606,"type":497},36,"rich_text$4a2dae91-a4a8-4f65-aa2f-892d4a7fbb06","rich_text",{"variation":335,"version":336,"items":610,"primary":611,"id":651,"slice_type":652,"slice_label":326},[],{"subheading":612,"image":616,"text":625},[613],{"type":378,"text":614,"spans":615,"direction":315},"Discover UniteLabs",[],{"dimensions":617,"alt":620,"copyright":326,"url":621,"id":622,"edit":623},{"width":618,"height":619},519,346,"Lab scientists discussing an experiment","https://images.prismic.io/unitelabs/aCybiydWJ-7kSWre_ClosetheLoop.jpg?auto=format%2Ccompress&rect=0%2C2%2C5192%2C3461&w=519&h=346","aCybiydWJ-7kSWre",{"x":26,"y":624,"zoom":38,"background":330},2,[626,634,643],{"type":318,"text":627,"spans":628,"direction":315},"Want to find out more about the UniteLabs platform? Head to our Solutions Overview.",[629],{"start":630,"end":631,"type":349,"data":632},63,82,{"link_type":133,"url":633,"target":136},"https://unitelabs.io/lab-automation-solutions/",{"type":318,"text":635,"spans":636,"direction":315},"Read our latest case study to discover how biotech startup Cradle boosted lab efficiency 4x by integrating UniteLabs with Benchling to automate data and workflows.",[637,640],{"start":410,"end":411,"type":349,"data":638},{"link_type":133,"url":639,"target":136},"https://unitelabs.io/resources/blog/cradle-benchling-case-study/",{"start":641,"end":642,"type":497},59,65,{"type":318,"text":644,"spans":645,"direction":315},"Or simply book a call with one of our experts to find out how we can transform your lab!",[646],{"start":647,"end":648,"type":349,"data":649},10,21,{"link_type":133,"url":650,"target":136},"https://unitelabs.io/company/book-demo/","uneven_text_image_pair$05600f9f-f356-4de0-a526-35080731536d","uneven_text_image_pair",1781711522158]