Yes. Load multiple models onto the same device and app, and switch between them. You may use a tablet model and then a raw-material model, for instance, without new hardware.
COUNTERFEIT AND PHARMA
Screen for counterfeits in seconds, on the spot
Check active-ingredient identity, verify a formulation match and flag suspect medicines, tobacco and branded goods with one handheld scan. Suspect samples go to the lab for confirmation.
BUILT ON YOUR REFERENCES
A model trained on your genuine product
Every model is trained on your genuine product and the counterfeit variants you are actually seeing, not a generic library.
A clear match or no-match against your reference
Scan a tablet, raw material or package and compare it with your genuine reference. Scan through blister packs or directly on the tablet, powder or raw material.
Reference match
API presence
Formulation fingerprint
Excipient profile
EXAMPLE RESULT
Tablet_lot_A1462
Tablet
Genuine reference
98.6 %
Reference match
API presence: confirmed
Formulation fingerprint: match
Excipient profile: nominal
Example result. Values are illustrative; your parameters and thresholds are set during calibration.
CUSTOM MODELS
Built around your samples
Every model is trained on your genuine product and the variants you are seeing. One device covers pharma QA and brand protection; you swap models, not hardware.
Tablets and capsules
Authenticity match
API presence
Formulation fingerprint
Excipients
and other parameters
Pharma raw materials and excipients
Identity
Incoming goods QC
Supplier match
Contaminants
and other parameters
Tobacco and consumer goods
Blend authentication
Raw material check
Moisture
Origin
and other parameters
Packaging and materials
Packaging material
Adulterants
Substrate check
and other parameters
Customs and field screening
Rapid substance ID
Match or no-match
Flag for lab follow-up
and other parameters
Your own material
A new product, or a counterfeit variant you have just started to see.
WHY IT MATTERS
A field decision, not a two-week wait
A counterfeit shipment does not wait for a lab slot, and neither should your QA or brand-protection team. Screening on the spot tells you which samples to stop and send for confirmation.
Every scan is logged with a timestamp, device ID and result, building a defensible record as you go and showing where counterfeits are turning up.
IN PRACTICE
In a peer-reviewed study, portable NIR and machine learning told authentic Viagra from falsified tablets, even through the blister pack, with no false positives.
HOW A MEASUREMENT WORKS
Three steps to a result
Whether your model comes from our library or was built on your samples, scanning works the same way.
1
Connect
Pair the device with the NIRStudio app on your phone.
2
Scan
Choose your model, place the device on the sample and press the button.
✓
Result
Read the result in the app. It is stored and synced to the web platform.
YOUR MODEL
How your model gets built
It starts with your reference set: genuine product, known counterfeits and the variants your team is seeing.
1
Scan and send
Scan each sample with the device and send the same sample to a lab for certified reference analysis.
2
We build your model
We match your scans to the reference results and build a calibration validated against them.
3
Ready to use
Your model loads into the NIRStudio app, ready for your team to scan against.
Not sure NIR will work on your material? Start with a feasibility study: a short device rental and an initial model to confirm it works before you commit to a full build.
Frequently Asked Questions
Yes. Scanning and results work offline. Data syncs to your dashboard once you are back online.
NIRStudio gives a fast, non-destructive field read, a clear match or no-match against your reference. It is built to complement certified lab and pharmacopeial testing, not to replace it in every regulated workflow. We work with your QA team to define where field screening fits your process.
Yes, this is the core of what we do. Send reference samples of the genuine product and any counterfeit variants you are tracking, and we calibrate a model around them.
Email, phone and video-call support, plus model updates as new counterfeit variants or product formulations appear. Get in touch through our contact form.
FROM THE BLOG
Read more about counterfeit screening
Rapid Detection and Quantification of Falsified Viagra
Peer-reviewed study: portable NIR and machine learning told authentic Viagra from falsified tablets, even through the blister, with no false positives.
Counterfeit Medicines: Unmasking the Role of NIR Spectroscopy
In the realm of pharmaceutical integrity and patient safety, the battle against counterfeit medicines presents a formidable challenge.
How Portable NIR and Advanced Modeling Are Reshaping Quality and Trust in the Tobacco Industry
Traditional tobacco has always been complex. Leaf origin, curing, fermentation, blending – variability is intrinsic to the material itself.
Tell us what you need to measure
If we already have a model for your material, you can start this week. If we don’t, we will build one for you.