Scispot is a self-driving lab enabler. At the heart of the Scispot platform is GLUE, our data and automation layer. We also provide native apps—alt-ELN, alt-LIMS, and alt-SDMS—for teams that want an all-in-one start. GLUE standardizes your data model and runs automated data pipelines so instruments, apps, and analytics stay in sync. This is how you move from simple record-keeping to closed-loop science.
GLUE is open by design. It connects seamlessly with all major third-party ELNs and LIMS when that's the right fit for your stack, supported by Scispot's integrations. If your biologists already use Benchling or LabWare, GLUE harmonizes the data and keeps downstream analysis consistent, without forcing a rip-and-replace.
Hardware automation platforms like Automata LINQ manage the physical side: scheduling jobs, coordinating devices, handling errors, and keeping workcells moving. That orchestration is powerful at the bench. GLUE complements it by owning the data layer—standardizing schemas for samples and plates, tracking lineage, and running pipelines that move data across your systems. Together, GLUE and automata lab automation form the backbone of a self-driving lab.
Here's how it plays out. You design a screening in Scispot's alt-ELN or in your existing ELN. GLUE converts that plan into structured metadata and sends the right instructions to LINQ. LINQ schedules and executes the workflow. As results stream in, GLUE ingests raw files, standardizes formats, attaches data to the correct samples and plates, and even flags anomalies. It writes back to your ELN or LIMS and, if conditions are met, triggers the next run. That's the loop: plan, run, learn, repeat.
We also speak the lab's many "languages" to make sure the flow is reliable. On the data side, GLUE handles common scientific formats and supports integrations via REST, SFTP, ASTM, webhooks, and HL7. On the clinical edge, if results need to reach hospital systems, we support HL7/FHIR-based exchanges so LIS↔EHR connections happen automatically. Think of it as clean data pipes instead of manual copy-and-paste.
Your stack can mix in other automation peers as well. If you're running an Opentrons Flex for genomics prep or a Tecan liquid handler for screening, GLUE connects those devices, captures outputs, and makes the data usable for analysis or model training. You keep your hardware choices and gain a consistent data layer. Automata's LINQ brings a modern scheduler and Python SDK to the bench, integrating external APIs mid-workflow and pushing results to ELNs and LIMS. When paired with GLUE, you get closed-loop execution with data that's analysis-ready the moment a run completes. Labs see fewer brittle scripts, fewer one-off integrations, and more workflows that re-plan on the fly.
The goal is simple. Turn your lab into a system that plans the next step as soon as the last one ends. Hardware platforms like Automata LINQ handle motion, timing, and errors. GLUE manages meaning, context, and flow. Together, they shorten cycles, reduce manual patchwork, and make your data AI-ready. That is what we mean by a self-driving lab stack powered by Scispot GLUE and automata lab automation.
