SCIENTIFIC INFORMATICS SERVICES
Make Your Lab Data Work Together.
We connect your instruments and lab systems, harmonize your scientific data, and automate the workflows around it so your lab is ready for AI. You keep the LIMS, ELN, and tools that already work.
Your Lab Has the Data. Getting It to Work Together Is the Challenge.
Each system in your lab holds part of the scientific record. When those parts do not connect, scientists spend their time moving, checking, and cleaning data instead of using it for the science.
Disconnected systems
Results stay on instrument PCs, in vendor applications, or in isolated folders. Each point to point script adds another mapping, credential, and dependency your team has to maintain.
Manual data handling
Scientists download, rename, copy, upload, and retype the same data. Each manual transfer takes time away from the science and adds one more chance for an error.
Inconsistent scientific data
The same sample shows up under different names, units differ between systems, and results lose the method or protocol behind them. That makes the data hard to reuse.
Validation & AI-readiness gaps
When raw, processed, and reviewed data sit in separate places, lineage breaks. Audit evidence gets harder to assemble, and AI tools see values without the context behind them.
Scientific Informatics Services, Built Around Your Lab.
We start with the systems, data, and workflows your lab already runs, then scope the work around the gaps that matter most to your scientists. You keep what works and replace only what helps.
Laboratory Systems Integration
Connect instruments, ELN, LIMS, and cloud platforms so raw files, results, and metadata reach the right system without anyone typing values in again.
Scientific Data Engineering
Align identifiers, units, and metadata across sources, and link each result to its sample, method, and lineage so people and analytics can reuse it.
Learn more about scientific data engineering and harmonization
LIMS & ELN Consulting
Get more from the LIMS and ELN you already use, with configuration, workflow, and integration work shaped around how your scientists run experiments.
Data Migration & Modernization
Move legacy scientific data onto a modern foundation in phases, and keep the sample, method, and audit history that gives each record its meaning.
Validation & Data Integrity Services
Build data integrity into daily lab work, with audit trails, approvals, and validation evidence kept beside the records. Your team still owns compliance decisions.
Laboratory AI & Workflow Automation
Automate routine analysis, QC, routing, and reporting steps, and give approved AI tools governed data with full context. Your scientists stay in control.
Expert-Led Services. Accelerated by Technology.
People who know lab science and informatics lead the work. They use Scispot technology such as GLUE, Harmonize, and Trust Vault where it speeds things up, and leave it out where it does not.
Scientific expertise
The work starts with your science: samples, methods, assays, and review steps. That context shapes the data model, so records make sense to the scientists who use them.
Reusable technology
We reuse Scispot components for connectivity, harmonization, and evidence. That lets our experts spend their time on your specific workflows instead of writing common integrations again.
Works with your existing stack
We design around the instruments, LIMS, ELN, and cloud tools you already run, replace only what helps, and keep your data portable through open APIs and exports.
One accountable partner
One team runs assessment, design, activation, and ongoing optimization. You work with one point of contact instead of handoffs between a consultant, a software vendor, and internal IT.
Each approach can work. The right choice depends on your team's capacity, the systems you run today, and who will own the result after launch. Here is how the three typically compare.
Consideration
Traditional consulting
Internal build
Scispot technology-assisted services
Approach
Advisors assess needs and recommend systems or processes, then often hand the build to a vendor or your own team.
Your own staff scope, build, and maintain integrations and data pipelines with tools they choose and know well.
People who know lab science and informatics lead the work, and use reusable Scispot technology where it fits your lab.
Fit with existing systems
Often vendor neutral and strong on assessment, though recommendations may still need separate technical work to connect your systems.
Built around your exact stack by people who know it, but each custom script adds mappings and dependencies to maintain.
Designed around the systems you already run. The work connects your ELN, LIMS, instruments, and cloud tools, and replaces only what helps.
Delivery model
A project team staffed for a defined scope, with documentation and a handoff to your team at the end.
Shares capacity with other priorities. Your team carries the maintenance as instruments, file formats, and systems change.
A phased path of assess, design, activate, and optimize, scoped to your lab's priorities, with your team involved at each step.
Accountability after go-live
Often ends with the engagement. Ongoing support may need a new contract or move to your internal team.
Your team owns it fully, including fixes, upgrades, and the knowledge that can leave when people change roles.
The same partner stays involved after activation, with pipeline monitoring and evidence records that support ongoing refinement. Scope is set per engagement.
From Disconnected Systems to Usable Scientific Data.
Every engagement follows four steps. We learn how your lab works today, design the target state with your team, put it into use, and keep refining it as your needs change.
01
Assess
We review your systems, data, and workflows. Outputs include a systems and data inventory, a review of APIs, file formats, and interfaces, and a priority map.
02
Design
We define how data should move and what it should mean. Outputs include a target architecture, a shared data model, and an integration and validation plan.
03
Activate
We build and turn on the agreed work. Outputs include working integrations, migrated datasets, and workflows tested with your scientists and ready for your validation.
04
Optimize
We watch how the new setup works in daily use. Outputs include pipeline monitoring, refinements as requirements change, and a plan for ongoing improvement.
Keep the Systems That Work. Connect What Doesn't.
We assess the available APIs, file formats, interfaces, and validation requirements before confirming the integration approach.
These are common systems we assess in services work. The list shows typical scope only and does not mean a certification, partnership, or vendor endorsement.
ELN
Benchling, Dotmatics, IDBS, Scispot
LIMS
LabWare, LabVantage, Thermo Fisher, Scispot
CDS
Empower, OpenLab, Chromeleon
Cloud and data platforms
AWS, Azure, Snowflake, Databricks
Instrument classes
HPLC and chromatography systems, mass spectrometers, plate readers, PCR and qPCR, sequencers, flow cytometers, NMR, liquid handlers, and lab robots
Where Our Services Fit in Your Lab.
Typical projects include connecting instruments to the LIMS or ELN a lab already uses, harmonizing assay and partner data with clear lineage, making an existing system easier to use, and building the evidence and review practice a regulated lab needs.
Frequently Asked Questions
Answers to common questions about how our services work with your current systems. If yours is not here, bring it to the consultation.
Can you work with the LIMS, ELN, and instruments we already have?
Yes. We design the work around your current systems and replace only what helps. Scispot GLUE can deliver data into existing ELN and LIMS platforms, storage, and analytics tools. We assess the available APIs, file formats, and interfaces first, then confirm the integration approach with you.
What does a typical engagement actually produce for our lab?
Each step has concrete outputs. Assess produces a systems and data inventory and a priority map, and Design produces a target architecture and data model. Activate delivers working integrations and migrated datasets, and Optimize adds monitoring, refinements, and a plan for ongoing improvement.
Do we have to replace our current platform with Scispot LabOS?
No. Our experts lead the work and use Scispot technology such as LabOS, GLUE, Harmonize, and Trust Vault only where it helps. You keep the systems that work, connect them, and keep your data portable through open APIs and exports.