Kit Intelligence
Your kits leave your lab every day.You never hear back.Unless something goes wrong.
Clarida gives qPCR reagent manufacturers real-world performance data for their products - detection kits, assay panels, master mixes - across instruments, geographies, and conditions. Improve your next lot before complaints arrive. Fix issues before customers switch.
What you don't see after your kit ships
Your validation catches a lot. But once your kit reaches hundreds of labs worldwide, the variables multiply: different instruments, climates, operators, workflows.
Different instruments
CFX96, QuantStudio, LightCycler - each with its own quirks and calibration.
Different conditions
Variables that compound across hundreds of labs and workflows worldwide.
Zero visibility
You rely on customer complaints to learn about performance issues. By then, they’ve already tried a competitor’s kit.
What catching it early looks like: A kit manufacturer identified instrument-specific Cq drift in a lot distributed to Southeast Asia before receiving a single customer complaint - and updated their protocol insert before the next shipment. Illustrative scenario.
Built by the team behind the standards your products are measured against
17,000+
MIQE citations
The global standard for qPCR reporting. Co-authored by Jan Hellemans. Clarida’s QC framework implements MIQE minimum reporting requirements - NTC validation, SYBR melt curve assessment, and amplification efficiency bounds checking.
23,000+
geNorm citations
The reference gene validation method used in thousands of labs. Created by our team. Clarida’s normalization follows the geNorm stability algorithm and flags experiments where no stable reference gene can be identified.
20+ years
building qPCR analysis tools
From qbase+ to Clarida, used across 50+ countries.
From detection kits to master mixes
Whether you sell complete detection kits, pre-designed assay panels, or universal master mixes - RUO, CE-IVD, or both - Clarida handles them all. If researchers use your products, we analyze the data. Your product, your recommended settings, loaded automatically.
SYBR Green, probe-based, miRNA
Gene expression & profiling kits
From reagents to results - no pipeline required
Your customers buy a kit, then spend hours normalizing against reference genes in Excel. Clarida loads your kit’s recommended reference genes and delivers normalized quantification, automatically. Researchers select your kit at setup. Everything else follows. Because your kit controls all reagent variables, your dashboard gives you clean, attributable performance data - no interaction effects to untangle.
Your competitors sell reagents. You sell reagents + validated analysis. That’s a sales conversation your competitor can’t match.
SNP assays, pathogen panels, environmental
Genotyping & pathogen detection kits
Your customers want answers, not Cq values
Researchers buy your assay for a definitive answer - positive or negative, wild-type or mutant - then spend time interpreting raw Cq values to get there. Clarida loads your kit’s recommended thresholds and delivers the answer directly. Researchers get the result. Your kit gets the credit. Your dashboard shows clean performance data across instruments and geographies - directly attributable to your product.
When the answer comes from your kit, not from a spreadsheet, your brand is what researchers trust.
TaqMan, PrimeTime, qSTAR, catalog assays
Pre-designed assay panels
See how your assays perform with every master mix on the market
Researchers pair your primers and probes with whichever master mix their lab uses. You have no idea which pairings work and which don’t. Clarida tracks performance broken down by master mix chemistry category, instrument, and conditions - so you can publish compatibility data your competitors can’t. Pairings are shown as categories like “probe-optimized mix” - never competitor brand names.
Turn your assay catalog into a validated, data-backed product line - not just a list of oligo sequences.
SYBR, probe-based, one-step RT-qPCR mixes
Master mixes & universal reagents
Your master mix is in every lab. Now see how it performs.
Researchers already run experiments on Clarida using your master mix. The data flows organically. Kit Intelligence: Insights gives you a window into that data - cross-instrument Cq reproducibility, inter-lot CV, and performance broken down by assay source category (commercial pre-designed vs. custom primers) - without changing anything for the researcher. Paired assays appear as categories, never competitor brand names.
The alternative is commissioning CRO validation studies at €5,000-15,000 per instrument per formulation. One-time. Controlled conditions only. Clarida gives you continuous field data for a fraction of the cost.
How the partnership works
Zero friction for the researcher. Full visibility for you.
You define your kit’s ideal settings
Reference genes, QC thresholds, analysis parameters - your product team knows these. We configure your kit profile in Clarida. For a pilot, start with one kit. Setup takes days, not months.
Researchers choose your kit
During experiment setup, researchers pick your kit from a dropdown. Your recommended settings load automatically. No codes, no redemption - just a natural step in experimental design.
Your performance dashboard goes live
Live from day one. Anonymized, aggregated data across instruments, geographies, and conditions: Cq distributions, QC pass rates, instrument-specific variability. First actionable patterns typically emerge within weeks.
Same dashboard depth. Different intelligence.
Every partner gets the full performance dashboard - Cq distributions, instrument breakdowns, lot trends, geographic patterns. The difference is what your product type reveals. Detection kits give you clean attribution. Assays and master mixes add interaction decomposition by pairing category.
Credits + Dashboard
Kit Intelligence: Activate
90-day pilot - no platform fee, no volume commitment
You pay only for the analyses your researchers run. No floor, no minimum.
Give researchers free analysis. Get real-world data back.
You fund free analysis for researchers who buy your kit. Every experiment feeds your performance dashboard. Researchers get kit-optimized analysis at no cost. You get field data across instruments, geographies, and conditions - data your validation lab can’t provide.
Ideal for: Detection kits, assay panels, pre-designed assays
- Partner-subsidized analysis for researchers - they pay nothing for kit reactions
- Live performance dashboard - CFX96, QuantStudio, LightCycler, StepOne, and more
- Cq distributions, QC pass rates, lot consistency
- Geographic and instrument-specific breakdowns
- Lot-to-lot trend detection and alerts
- R&D-ready export formats
Dashboard only
Kit Intelligence: Insights
Free 90-day pilot
Platform fee and volume commitment waived. Your dashboard fills with organic data at no cost.
Your reagents are in every lab. Now see how they perform.
Researchers already use Clarida with your master mix - the data flows organically. Kit Intelligence: Insights gives you a window into that data. No credits, no researcher impact. Just continuous field performance intelligence.
Ideal for: Master mixes, universal reagents, high-coverage products
- Dashboard access to organic Clarida usage data
- Cross-instrument Cq reproducibility
- Lot-to-lot inter-lot CV tracking
- Competitive positioning vs. category benchmarks
- Geographic performance patterns (shipping/storage stability)
- R&D-ready export formats
For context: A single CRO validation study costs €5,000-15,000 per instrument per formulation - one-time, controlled conditions only. Clarida gives you continuous field data across every instrument on the platform, updated with every experiment.
90-day pilot. One kit. Platform fee and volume commitment waived.
First patterns typically emerge within weeks. No actionable insight after 90 days? Walk away.
Kit analyses this month
QC pass rate
Instrument variance
Lot consistency
(CV% across last 3 lots)
Cq distribution - All instruments
Performance by instrument
QC pass rate - 6 month trend
Detection kit dashboard - your kit controls all reagent variables. Clean, attributable performance data.
One experiment, two dashboards. When a researcher pairs an assay with a master mix from different partners, each partner sees the same experiment from their own product's perspective. The “Performance by pairing category” chart above shows chemistry categories, never brand names. Same data, separate views, zero competitive leakage.
What field data catches that validation misses
A partner's qPCR kit showed 40% higher inter-run Cq SD on QuantStudio instruments compared to CFX96 - a pattern invisible in their internal validation data, where both platforms had passed spec. Clarida's instrument-level breakdown surfaced it within weeks of launch. Root cause: reduced annealing duration at the QuantStudio's faster default ramp rate.
The partner updated their protocol insert with instrument-specific guidance. Support escalations citing “inconsistent results” from QuantStudio users dropped by roughly a third over the following two quarters.
Composite scenario reflecting cross-platform variability patterns commonly observed in qPCR.
What interaction data reveals for reagent manufacturers
A master mix vendor found mean amplification efficiency of ~92% with custom researcher-designed primers versus ~98% with commercial pre-designed assays - a gap that didn't appear in internal testing, where only optimized primer sets were used. Clarida's assay source category breakdown revealed the pattern across 2,100+ experiments. Root cause: suboptimal primer design (elevated primer-dimer potential) interacting with the mix's hot-start polymerase activation.
The vendor added a “recommended primer design parameters” section to their technical manual and saw the efficiency gap narrow to under 2% within two quarters.
Composite scenario reflecting reagent interaction patterns observed in qPCR field data.
This isn't an open-ended cost
Think of it like Google Ads vs. SEO. Activate funds researcher adoption upfront - like paid ads building traffic. Once enough researchers use Clarida organically, you switch to Insights - like SEO after your domain authority is built.
Year 1
Activate
Fund free analysis. Seed researcher adoption. Build your dashboard.
Year 2+
Switch to Insights
Data flows organically. Your cost drops. Your researchers stay on Clarida.
Long term
Data advantage
Product decisions backed by continuous field data your competitors don’t have.
More than a vendor deal
Your customers get kit-optimized analysis. You get real-world field data. The platform grows with every experiment.
Your kit stays yours
Researchers see your kit name throughout their workflow. Your branding, your relationship, your customer. Clarida is the analysis engine - visible but not competing for attention.
Switching costs grow every week
Researchers build workflow history inside Clarida - reference genes, saved protocols, kit-specific performance benchmarks. When they switch to a competitor’s kit, they start over. This creates natural retention that compounds with every experiment they run in your workflow.
The data gets sharper over time
Every experiment adds to your real-world performance picture. Start seeing instrument trends in weeks. Geographic patterns in months. Over time, you’re making product decisions your competitors can’t - because they don’t have the data.
Insights you can use
Use aggregated performance data in your marketing, on your website, and at conferences. “Validated across CFX96, QuantStudio, LightCycler, StepOne, and more - in 40+ countries” - backed by real-world field data, not just internal testing.
Your insights. Their privacy. Separated by design.
Think of it like Google Maps. Thousands of phones report speed, no driver sees another driver's data. Partners see “our kit averages Cq 22.4 on CFX instruments.” They never see “Dr. Smith at Utrecht found 3-fold upregulation of BRCA1.”
All data stored and processed in the EU. GDPR-compliant. DPA ready to sign. Your dashboard data stays yours. Your legal team can reach us directly.
What about other partners?
When a researcher pairs your product with another partner's reagent, each partner sees only their own product's data. The paired product appears as a chemistry category - “probe-optimized master mix” or “commercial pre-designed assay” - never as a competitor's brand name. Architecture-level isolation, not just policy.
What partners see
- Aggregated Cq distributions across instruments and regions
- QC pass rates by product and lot
- Instrument-type performance breakdown
- Geographic usage and adoption patterns
What partners never see
- Individual experiment results or raw data files
- Target genes, sample identities, or biological findings
- Researcher names, institutions, or lab affiliations
- Which experiments belong to which researcher
- Another partner’s brand name, volume, or market share
- Cross-partner performance comparisons
Founding partners. Here's what you get.
The platform is live. The partner program is new. A small number of founding partnerships are available, with terms we can't offer once the program fills.
Locked-in founding rates for the life of the partnership
Direct input on your insights dashboard - your product team helps shape what you see
Priority roadmap access - your feature requests go to the front of the queue
Founding partnerships available across detection kits, assay panels, master mixes, and more.
Before you book the call
Gene expression and profiling (SYBR Green and probe-based), genotyping and SNP analysis, pathogen detection, miRNA quantification, and environmental qPCR. Clarida is built for standard singleplex and low-plex qPCR workflows across all major instrument platforms. Digital PCR (dPCR) support is on the roadmap - when it launches, Kit Intelligence partnerships extend to dPCR products automatically. No second negotiation. If your kits serve researchers doing any of these applications, we support them. Unsure whether your specific assay type fits? Bring it to the pilot call - that’s what it’s for.
Yes. Clarida’s analysis engine processes qPCR data the same way regardless of the regulatory label on the kit. If researchers use your products for gene expression, genotyping, pathogen surveillance, or similar research applications, Clarida handles the analysis and feeds your insights dashboard. To be precise: Clarida is a research analysis platform, not part of a validated IVD diagnostic workflow. But IVD-labeled kits used in research contexts are fully supported. If you’re unsure whether your product line fits, that’s a good question for the pilot call.
Yes - Kit Intelligence: Insights is built exactly for this. Researchers already use Clarida with your master mix. The data flows organically. You get a dashboard showing cross-instrument performance, lot consistency, and competitive positioning - without changing anything for the researcher. The alternative is commissioning CRO validation studies at €5,000-15,000 per instrument per formulation. Clarida gives you continuous field data for a fraction of the cost.
Your kit is the hero. Researchers select your kit by name during experiment setup. Your recommended settings load automatically. Both brands are visible - your kit name appears throughout the workflow, Clarida powers the analysis. Think Intel Inside: Clarida is the analysis engine inside your kit’s workflow. Your brand is what researchers see first.
That’s the idea. Start with one kit, one product line, one region. During the 90-day pilot, the platform fee and volume commitment are waived entirely. For Kit Intelligence: Insights, nothing else costs anything - your dashboard fills organically. For Kit Intelligence: Activate, you pay only for the analyses your researchers actually run - no floor, no minimum. If the dashboard doesn’t deliver at least one actionable insight for your product team, walk away. Nothing is locked in until you’ve seen the value.
This is the right question to ask. For Kit Intelligence: Activate, the answer is the mechanism itself: researchers pay nothing to analyze kit reactions, which removes the only barrier to first use. You don’t need Clarida to have existing users - you bring the users. Partners who announce the integration in a single email to their registered customer base typically see first experiments within two weeks. For Kit Intelligence: Insights, the model requires some existing organic usage of your product on the platform. That’s why we confirm data volume during the pilot before recommending Insights as your post-pilot product.
During the pilot, we measure actual adoption - how many of your kit buyers use Clarida for analysis. That data sets your volume commitment (no guessing). We’ll recommend which product fits: Kit Intelligence: Activate if you want to fund free analysis for researchers and accelerate data, or Kit Intelligence: Insights if your products already generate organic data on Clarida. Either way, cost is a platform fee plus a per kit reaction rate - it scales with your market presence, not a fixed tier. Partnerships run on 12-month agreements because building your kit intelligence takes investment from both sides. At renewal, 30 days notice either way. If you don’t renew, your dashboard is deactivated - no lock-in, no hostage data.
It depends on which product you choose. Kit Intelligence: Insights - the pilot is completely free. Platform fee and volume commitment waived for 90 days. Your dashboard fills with organic data from researchers already using your products on Clarida. Kit Intelligence: Activate - the platform fee and volume commitment are waived during the pilot. You pay only for the researcher analysis your researchers actually use, at the same per kit reaction rate as your post-pilot agreement. Adoption builds gradually during the pilot, so your pilot investment is modest. Your pilot data sets your post-pilot volume commitment - no guessing.
Anonymized, aggregated performance metrics only: Cq distributions, QC pass rates, instrument breakdowns, geographic patterns. Never individual results, gene names, sample identities, or researcher information. Full details in our privacy approach above.
Yes. Researchers explicitly opt in when selecting a partner kit during experiment setup, and can opt out at any time. They can optionally add a lot number to get lot-specific benchmarks in return. Privacy controls are built into the workflow, not buried in terms of service.
Each partner’s dashboard is scoped strictly to experiments involving their own products. When a researcher pairs your reagent with another partner’s product, you see the pairing as a chemistry category - “probe-optimized master mix” or “commercial pre-designed assay” - never a competitor’s brand name. Minimum aggregation thresholds prevent inference even in small categories. This is architecture-level isolation - the dashboard queries through a view layer that substitutes categories for brand names. Your competitor cannot see your experiment volume, performance data, or market share. You cannot see theirs.
Yes. Aggregated insights from your dashboard are yours to use: on your website, at conferences, in product documentation, or in investor presentations. For example: “Validated across CFX96, QuantStudio, LightCycler, StepOne, and more - in 40+ countries” - backed by real-world field data, not just internal testing. We’ll provide the data and help with framing.
Talk to Jan about your products
15-minute call with Jan Hellemans, MIQE co-author and Clarida co-founder. We'll cover whether your product type is supported, which Kit Intelligence product fits, what the pilot includes, and what it costs.
Know what happens to your products after they ship.
One call with Jan Hellemans. 15 minutes. You'll know whether this fits, and what a pilot looks like.
