Laboratory &Scientific SystemsStructured systems for samples, results and traceability.
Laboratory software engineered around how samples, tests, instruments and results actually move through a laboratory.
KAPAT designs and engineers systems for testing, research, quality and diagnostic laboratories — sample registration, test workflows, instrument data capture, results review, reporting and traceability — shaped around the specific methods, controls and reporting obligations of the laboratory rather than a generic product template.
Explore ServicesIllustrative Workflow
- Solution Type
- Laboratory workflow & data platform
- Problem Space
- Sample tracking, result handling and traceability by hand
- Typical Users
- Analysts · Lab managers · Quality · Client services
- Platforms
- Web · Desktop · Bench-side tablet
- Approach
- Sample-first, traceability-led
- Related Service
- Custom Software Engineering
The Business Problem
When the laboratory runs on registers and spreadsheets.
A laboratory generates a great deal of structured information: which sample came from where, what was requested, which method was used, which instrument produced which reading, who reviewed it, what the result was against its limits, and what was reported to whom. In many laboratories that chain is held together by a sample register, paper worksheets, instrument print-outs, spreadsheets of results and a final report typed from all of it.
Each hand-off is an opportunity for a transcription error, a lost sample, a missed limit or a result that cannot later be traced back to the instrument run that produced it. The science is sound. The information handling around it is not.
Where laboratory information typically lives
Traceability in a laboratory is not a report produced at audit time. It is the property of a system that recorded every step as it happened — and that is a software architecture question before it is a documentation question.
Typical Signals
Signs a laboratory system is needed.
Common patterns across testing, research and quality laboratories — not a description of any specific laboratory.
01
Samples without a trail
Where a sample is, what has been done to it and who has it can only be established by asking around the bench.
02
Results re-typed
Readings are copied from instrument screens or print-outs into spreadsheets and then into reports, and each copy can differ.
03
Limits checked by eye
Specification limits, control ranges and repeat rules are applied from memory or a laminated sheet rather than by the system.
04
Review without a record
Results are approved with initials on paper or not at all, and the review history cannot be reconstructed later.
05
Turnaround unknown
Nobody can say how long samples take from receipt to report, or which stage is the bottleneck, without a manual exercise.
06
Audit preparation as a project
Preparing for an external audit or client visit means assembling evidence from many sources over several days.
07
Instrument data stranded
Each instrument has its own software and file format, and the data stays there unless someone exports and re-formats it.
08
Reports as documents
Certificates and test reports are produced in a word processor, with formatting, version and content controlled by hand.
Definition
A structured record of every sample, test and result.
A laboratory or scientific system is a purpose-built platform that registers samples, tracks them through the tests requested, captures readings from instruments or analysts, applies the laboratory’s methods, calculations and limits, routes results through review and approval, and produces the reports and certificates the laboratory issues — with a complete history of who did what and when. KAPAT does not present a pre-built laboratory product; each system is engineered from the laboratory’s own methods, workflows, instruments and reporting obligations. Requirements in regulated laboratories may include stronger controls; formal compliance obligations must be defined and validated within the specific project and regulatory context.
It is
- A sample lifecycle from registration to disposal, with chain of custody
- Test workflows built from the laboratory’s own methods and worksheets
- Instrument data captured at source, not re-typed
- Limits, calculations and review rules applied by the system
- Reports and certificates generated from approved results
It is not
- A packaged product configured around its own assumptions
- A spreadsheet of results with better formatting
- A scientific method or a regulatory certification in itself
- A replacement for analyst judgement — it records and supports it
- Limited to one laboratory type — testing, research and quality contexts differ and are modelled accordingly
Service
What engineering capability KAPAT provides — see Services.
Solution
What business problem KAPAT helps solve — this page. Solutions draw on one or more services.
Typical Software Opportunities
What a laboratory system typically contains.
Capability areas — scoped per project, not a fixed feature list.
01 / 06
Sample Registration & Lifecycle
Every sample is registered with its source, requested tests, priority and conditions, given a unique identity and tracked through receipt, storage, testing, retention and disposal.
Typical Capabilities
- Sample and batch registration
- Unique identifiers, labels and barcodes
- Chain of custody and location tracking
- Storage conditions and retention
- Sub-sampling, aliquots and pooling
- Disposal and archival records
Typical System Types
POTENTIAL CAPABILITY — scoped per project.
How KAPAT Models the Problem
From the laboratory’s own methods to the software that runs them.
KAPAT begins by documenting how samples and results actually move through the laboratory — reception, allocation, testing, review, reporting — together with the methods, instruments, limits and controls involved, and the points where transcription or tracking currently fails.
The sample model, method definitions, workflow states, review rules and reporting outputs are then defined from that documentation, and the system is engineered around them. The laboratory’s scientific judgement stays with its analysts; the system records it, applies the agreed rules and makes the chain of evidence continuous.
LABORATORY LAYER
How samples move
- Receive
- Allocate
- Test
- Review
- Approve
- Report
SYSTEM LAYER
How it is modelled
- Samples
- Methods
- Runs & results
- Roles & rules
- Events
SOFTWARE LAYER
How it is engineered
- Sample registry
- Workflow engine
- Instrument intake
- Review & audit
- Reporting
- Integrations
Illustrative Architecture
A typical laboratory platform structure.
A layered view of how the pieces usually fit together. The specific services, data, controls and integrations are defined per project.
- L5USERS & CHANNELSAnalyst workstationBench-side tabletLab manager viewsClient portal
- L4APPLICATION SERVICESSample workflowMethod engineCalculations & limitsReview & approvalReportingNotifications
- L3CORE DATASample recordsMethods & specificationsResults & raw dataAudit history
- L2INTEGRATION LAYERInstrumentsQuality systemsInventoryERP & invoicingExternal submissionsAPIs
- L1PLATFORMCloud or on-premise infrastructureSecurityBackups & retentionMonitoring
Actual architecture depends on organisation and project requirements.
Integration
A laboratory system sits between instruments, quality and clients.
Instruments produce data, quality systems hold procedures and deviations, inventory holds reagents and standards, and clients and ERP systems sit on the outside. The laboratory system becomes the structured record of samples and results and connects to the systems that remain in place.
Typical integration categories. Feasibility depends on what each system exposes.
Engineering Approach
How a laboratory system is delivered.
01
Discover
Map sample flow, methods, instruments, controls and reporting.
02
Model
Define samples, methods, limits, roles, review and outputs.
03
Architect
Structure workflow, instrument intake, audit and hosting.
04
Design
Interfaces shaped around bench, review and client tasks.
05
Engineer
Build in verified increments with analysts and quality staff.
06
Release
Migrate methods and reference data; controlled go-live by section.
07
Evolve
Add methods, instruments and sites as the laboratory grows.
Typical Organisations
Built for laboratories whose methods are their own.
Laboratory systems deliver the most where methods, instruments and reporting obligations are specific to the laboratory, and where traceability matters to clients, auditors or the science itself. Representative laboratory types are shown here as capability areas, not as a client list.
Related Services
The engineering behind the solution.
A solution describes the business problem; services describe the engineering capabilities used to solve it. This solution typically draws on several KAPAT service domains.
FAQ
Common questions about laboratory & scientific systems.
Laboratory & Scientific Systems
Ready to make traceability a property of the system?
Start with the section where results are handled by hand most often. KAPAT can help define the right sample model, method structure, instrument integration and engineering approach.
A direct conversation with the engineers who would build the system — no sales layer in between.
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