Sample tracking
Define identifiers, receipt records, assignments and status transitions around the sample lifecycle.
Custom LIMS & laboratory workflow softwareA connected workflow.
Keep samples, results and reviews connected with custom laboratory software. Start with the gaps around your existing LIMS, instrument files and QA/QC processes.
Plan your projectFrom your workflow to a working system
- 1Sample receipt
- 2Results & checks
- 3Quality review
The right scope.
Built around your needs.
Start with the problem that matters. Combine the capabilities your project needs, with boundaries agreed before the build.
Instrument data imports
Assess instrument models, available protocols and export formats before promising connectivity.
Results and review queues
Keep units, provenance and review status attached to results, with visible exceptions for incomplete data.
Laboratory dashboards
Show sample progress and work awaiting review without presenting a dashboard as an authorized release decision.
Keep the sample’s story connected.
A reference laboratory workflow linking sample identity, imported results and review status.
Sample intake: its responsibility
Register agreed sample details and assign the required workflow stages.
What to review
Check duplicate identifiers, required fields, cancellations and authorized changes.
Illustrative planning model. Your architecture and deliverables are agreed during scoping.
See where
it could take you.
Illustrative applications to help shape your brief. These are possible project scopes, not customer case studies.
The starting point
Teams ask each other which samples are waiting for testing or review.
The approach
Model receipt, assignment and review stages with clear owners and timestamps.
What the work can produce
An illustrative sample lifecycle, then a scoped tracking application.
Start where
your project is.
The first step depends on what is already known. These starting points help define an engagement; scope, price and timing are agreed separately.
Explore an uncertain idea
The problem is clear, but the approach is not.
- 1Question
- 2Prototype
- 3Decision
What you take forward
A bounded experiment, findings and a recommendation on what to validate next.
A prototype is not a production-ready service.
Deliver a defined scope
You know the workflow and can agree acceptance checks.
- 1Scope
- 2Build & review
- 3Handover
What you take forward
Agreed deliverables, verification evidence and operating instructions for the scoped release.
Changes to scope need an explicit decision on cost and timing.
Improve an existing system
A live system needs focused changes or ongoing care.
- 1Review
- 2Prioritize
- 3Release & observe
What you take forward
A prioritized backlog, reviewed changes and an agreed maintenance or support boundary.
Coverage, response targets and access are agreed per engagement.
A clear path.
Through the work.
Scope and deliverables are agreed for each project. These stages guide the conversation.
- 1
Follow a sample
Map the current process and systems from receipt through review.
- 2
Prove an integration
Test representative exports, missing values and reconciliation before widening scope.
- 3
Plan deployment
Agree on validation, access, backup and support responsibilities with laboratory and IT owners.
The instrument and method determine the interface
Technology is a scoping decision. These are relevant tools and building blocks to discuss against your existing systems, operating constraints and maintenance needs.
Data capture
Instrument exportsStructured forms
Review actual instrument models, supported files and approved sample exports before selecting connectivity.
Workflow
Sample recordsReview queuesAPIs
Design identifiers, assignments and result stages around the laboratory’s operating process.
Visibility
DashboardsExportChange history
Choose output and reporting around reviewer tasks, source traceability and customer-defined retention requirements.
The ecosystem.
Behind the experience.
Interfaces, application logic, data and operations. The building blocks work together around your project.
Frontend Development
- React
- Angular
- JavaScript
- HTML5
- CSS3
Backend Development
- Node.js
- Express.js
- Laravel
- PHP
Database
- MySQL
- PostgreSQL
- MongoDB
- Firebase
Cloud & DevOps
- Azure
- AWS
- Google Cloud
- Docker
- Jenkins
What should be checked
before handover.
Turn quality expectations into reviewable evidence. The exact checks and responsibilities belong in the project scope.
Import fidelity
Compare imported values, sample identifiers, units and errors against representative instrument files.
Workflow permissions
Check who may enter, amend, review and release a result, including rejected and repeated work.
Validation planning
Define intended use, acceptance checks and the evidence the customer requires before adopting the workflow.
Before
we begin.
Practical answers to help turn your idea into a scope everyone understands.
Do we need to replace our LIMS?
Not necessarily. Discovery should assess whether a targeted extension or integration addresses the gap before considering replacement.
Can you connect any instrument?
Connectivity depends on the instrument, vendor access and available interfaces. It is confirmed through technical assessment.
Can a dashboard release a batch?
A dashboard shows information. Release authority and any connected action must be defined and controlled separately.
Often better together.
Still have questions?
Start with the brief.
Bring the problem you want solved. We’ll shape it into a project brief you can keep — or let AI draft a first approach.