Scispot GLUE

Connect Your Instruments & Systems. Keep Scientific Data Moving.

Move raw files, results, and metadata between instruments, lab software, databases, cloud platforms, and downstream applications through one scientific integration layer.

Scientific connectivity for the lab you already run

Biotech Diagnostics Pharma CRO / CDMO Genomics Bioproduction

Trusted by 200+ life science labs

The Connectivity Gap

The Instrument Is Automated.
‍The Data Movement Often Is Not.

A run finishes. Someone downloads the file, renames it, copies the values, updates the LIMS, and sends the data on. Or an engineer maintains another one-off script.

Data trapped at the source

Results stay on instrument PCs, in vendor applications, or in isolated folders.

Manual transfers

Scientists download, rename, copy, upload, and re-enter the same scientific data.

Integration debt

Each point-to-point script adds another mapping, credential, and dependency.

Missing visibility

Teams may not know whether a transfer completed, failed, or never started.

Scientists and IT should not be the integration layer.

Source To Destination

File Transfer Moves A File.
‍GLUE Manages The Data Flow.

Five steps to reliable scientific data movement. One integration layer within the Scispot lab operating system.

SCISPOT GLUE / CONNECTIllustrative UI
01 / Reach the source

Supported source

Instrument output
Application API
File location
Partner source

Connect supported instruments, applications, databases, files, and cloud environments.

What GLUE Does

One Integration Layer.
Built For Scientific Data.

Instrument connectivity

Capture data from supported instruments without disrupting runs.

Application & API integration

Connect lab applications and databases through supported interfaces.

File & edge ingestion

Capture files from PCs, folders, transfers, and cloud.

Bidirectional integration

Read and write across systems with supported interfaces.

Scientific transformations

Extract results, map fields, and prepare destination-ready data.

Lineage & monitoring

Track source history, transformations, and delivery status.
Under The Hood

Raw Data In. Usable Data Out. Source Intact.

Scientific teams need the data flow, including raw files, processed outputs, run metadata, and transformation history. GLUE keeps those pieces available for downstream work.

01

Keep raw and processed data

Capture original instrument output alongside results and metadata. Give scientific and computational teams access to the data behind the record.

Keep raw and processed data Illustrative UI Instrument data Run R-018 · source retained R-018_raw.csv RAW SOURCE R-018_results PROCESSED

02

Transform in flight

Parse, extract, map, convert, and process supported data for the destination. Retain the source and defined transformation history.

Transform in flight Illustrative UI Destination mapping DEFINED LOGIC SOURCE FIELD DESTINATION Sample_IDsample_id Run_IDrun_id Resultresult_value Source retained · transformation history available

03

Preserve source lineage

Follow downstream data back to its original file and transformation history. Give teams a traceable foundation for analysis and review.

Preserve source lineage Illustrative UI Original source R-018_raw.csv CAPTURED Defined transformation Fields parsed and mapped RECORDED Destination record Linked to source history TRACEABLE

04

See every handoff

Know what was received, processed, delivered, or failed. Replace integration black boxes with visible connection and processing status.

See every handoff Illustrative UI Pipeline visibility Instrument files Partner files Processed results ELN / LIMS Internal storage Data platform Delivered Needs attention Delivered Processing · failures · source lineage · delivery
Connect The Lab You Already Have

One Layer.
Many Scientific Data Flows.

Start with the handoff that slows your team down. Connect the source and destination through the supported interface.

One layer. Many scientific data flows.

Swipe to explore 6 flows
ONE CONNECTED DATA FLOWIllustrative architecture
SOURCEInstrument output

Raw files · results · run metadata

Scispot GLUE

Capture · transform · deliver · monitor

DESTINATIONELN / LIMS

Supported results and records

Data movement with source and transformation history.

Every Layer Has One Job.
Together They Connect Your Lab

GLUE is the connectivity foundation within Scispot LabOS. Add shared scientific context, coordinated workflows, and approved digital action as your lab needs them.
GLUE moves the data. Orchestrate coordinates what happens. Harmonize gives it meaning and memory.
What Changes

Stop Moving Scientific Data By Hand.

Less manual file movement

Reduce downloading, renaming, copying, uploading, and re-entry.

Faster data availability

Make scientific data available to downstream teams and systems sooner.

Fewer brittle integrations

Reduce dependence on scattered point-to-point scripts.

Stronger source lineage

Keep downstream data traceable to where it originated.

Lower integration burden. More freedom to choose your stack.

Software platforms manage tools. We manage outcomes.

Show us where scientists still move data by hand.

Bring one workflow where people repeatedly copy, calculate, check, update and report. We’ll map what can execute, where people approve and how to measure the outcome.

Where the data starts: Instrument, file, application, or partner

How it moves today: Files, scripts, and manual handoffs

Where the handoff breaks: Missing data, re-entry, or limited visibility

Where it should land: Your lab system, storage, or data platform

Start with one connection. Remove one manual handoff.

Expand when your lab is ready.

Chosen by labs that set the standard

Ally Hirsch, Scientist and Regulatory Technical Lead at Informuta.
Scispot stayed close to the technical details and extended label printing across our device environment. That makes the clinical workflow easier for the team to use and showed that the delivery team would stay with the practical issues that matter in day-to-day operations.
Ally Hirsch
Scientist & Regulatory Technical Lead
Brett Stevens, Director of Translational Laboratory Research.
Our team was spending too much time on sample tracking and spreadsheet gymnastics instead of the science. Scispot is becoming the single place we can answer what happened to a sample, from intake through capture, libraries, and sequencing.
Brett Stevens
Director of Translational Laboratory Research
Dr. Onome Braimah, Head of Medical Affairs.
Scispot gave our Medical Affairs team a practical way to collect PHI-aware patient submissions and test requests while keeping the lab workflow connected to Sample Manager
Dr. Onome Braimah
Head Medical Affairs
Emily Reister, Staff Laboratory Science Lead.
Our team needed a system that allowed for more flexibility while keeping data for our sample intake and processing current. Scispot worked closely with us through recurring sessions to shape a more manageable system using custom automations and also determine best next steps for workflow improvement.
Emily Reister, PhD
Staff Laboratory Science Lead