vs. Lab Systems
Clarida vs. LIMS - Different Problems, Different Tools
Your LIMS tracks samples. Clarida covers the scientific workflow around them - from experimental design to publication-ready report.
First MIQE-compliant analysis in under 15 minutes
The core difference
LIMS tracks samples and workflows - where is my sample, what's its status. Some LIMS claim qPCR capabilities, but it's clinical diagnostics - positive/negative calls against fixed thresholds. Research qPCR needs more: experimental design, guided protocols, relative quantification, reference gene validation, efficiency correction, MIQE-compliant reporting. No LIMS provides that end-to-end workflow. Clarida's D-DEAR framework does.
Feature comparison
What LIMS does
Sample tracking
LIMS
Clarida
Workflow management
LIMS
Clarida
Inventory management
LIMS
Clarida
Regulatory compliance
LIMS
Clarida
Batch processing (standardized)
LIMS excels at repetitive diagnostics assays
LIMS
Clarida
Instrument data ingestion
LIMS stores raw files; Clarida ingests and analyzes
LIMS
Clarida
Clinical qPCR (positive/negative calls)
Clinical qPCR is threshold-based testing, not research analysis
LIMS
Clarida
What Clarida does
Adapt analysis per experiment
LIMS
Clarida
Relative quantification (delta-delta-Cq)
LIMS
Clarida
geNorm reference gene validation
LIMS
Clarida
MIQE-compliant normalization
LIMS
Clarida
Amplification efficiency correction
LIMS
Clarida
AI pattern recognition
LIMS
Clarida
Publication-ready figures
LIMS
Clarida
Auto-generated Methods section
LIMS
Clarida
Handle unique experiments
LIMS
Clarida
Where LIMS works well
- Sample tracking and chain of custody
- Workflow management and scheduling
- Inventory and reagent management
- Regulatory compliance (especially regulated environments)
- Batch processing of standardized assays
Where Clarida adds value
Optimized for variation
LIMS is built for repetition. Research means every experiment is different. Clarida handles that variation natively.
Scientific workflow, not tracking
LIMS tells you what happened. Clarida covers the full workflow - experimental design, guided protocols, peer-reviewed analysis, and publication-ready reporting.
No IT department required
Adapt analysis parameters per experiment without configuring workflows or involving IT.
Built on two layers of analysis
Every calculation traceable to a peer-reviewed method
- Per-experiment analysis parameters
- geNorm for varying reference panels
- MIQE-compliant normalization per design
- Handles the long tail of unique experiments
Augments your judgment, doesn't replace the validated math
- AI-driven pattern recognition across experiments
- Anomaly detection without pre-programmed rules
- Quality insights that improve over time
- Something LIMS architecture can't provide
Some LIMS handle clinical qPCR - pass/fail against fixed thresholds. Research qPCR needs both layers. No LIMS provides either.
The full qPCR workflow - who does what
Frequently asked questions
Common questions about Clarida vs. LIMS
Some LIMS (e.g., Sapio) include qPCR algorithms, but these are designed for clinical diagnostics - binary positive/negative calls against fixed thresholds. Research qPCR requires relative quantification, reference gene validation (geNorm), efficiency correction, and MIQE compliance. No LIMS provides this.
Clinical qPCR tests for known targets with standardized protocols - the result is detected or not detected. Research qPCR measures gene expression levels across experimental conditions, requiring normalization, reference gene validation, statistical analysis, and publication-ready reporting. These are fundamentally different analytical challenges.
Yes. Your LIMS tracks samples and manages workflows. Clarida handles the scientific workflow - from experimental design through MIQE-compliant analysis and reporting. There is no overlap. They cover different layers of the lab stack.
LIMS is architected for repetition - standardized workflows applied consistently across thousands of samples. Research qPCR means every experiment is different: different reference genes, different normalization strategies, different assay types. Clarida handles this variation natively without IT reconfiguration.
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Free to start. No credit card. Works alongside your LIMS. Export anytime.
Costs less per experiment than an empty qPCR plate.
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