Check a medication’s inactive ingredients against allergen, dietary, and religious exclusions.
AI doesn’t make the calls here.
Our clinical team does.
For pharmacists & prescribers
For licensed pharmacies · $99/month per pharmacy, first 2 months free
The fillers a standard allergy check misses, screened against a patient’s allergies, diet, and religious needs. Alternatives when they conflict, in seconds.
A real check, start to finish: exclusions in, conflict flagged, alternative found.
A conflicting filler? See the versions of the same drug side by side and pick one that fits.
No phone calls. No digging through shelves. Look up the patient’s exact medication and move on.
The mappings behind each answer are clinically reviewed, with citations you can open on the drug page. It holds up at the counter.
You screen a medication, not a patient. Nothing identifiable is entered or stored.
Excipients aren’t on the patient’s radar, and no food-style allergen warning is required on the label. That leaves the counter holding the risk.
0
food-style allergen warnings required on prescription labels.
93%
of oral medications carry at least one potential allergen filler.
Hours
on hold with a manufacturer to confirm a single excipient question.
Clinically reviewed, built on official FDA and NLM data.
“Is this safe with my allergy?” Today that answer means label hunting and hold music.
Barcode, NDC, or name. The exact product, the exact manufacturer.
Every filler screened against the patient’s exclusions, with same-drug alternatives side by side.
A documented answer at the counter, before it reaches the patient.
One license for the store, with named seats for every pharmacist and technician. $99/month per pharmacy, first 2 months free.
Register Your PharmacyOne setup for the whole group, and every check attributed to the individual who ran it.
Contact UsNamed seats and central administration. Point-of-dispense screening where your system supports it.
Contact UsNo. You screen a medication and its ingredients, not a patient record. Nothing identifiable about a patient is entered or stored.
A pharmacist at your store registers the pharmacy with their NPI and gets a team link for everyone else, typically in a few minutes.
$99/month per pharmacy, first 2 months free, with no card needed to start. One subscription covers every pharmacist and technician at the pharmacy.
No. Access is set up per pharmacy, so every pharmacist and technician works from the same team. Existing individual subscribers retain access.
FDA and NLM drug-label sources, refreshed weekly and reviewed clinically. The full methodology is part of a sales conversation.
For licensed pharmacies · $99/month per pharmacy, first 2 months free
For academic & institutional research
Research access by application · for verified researchers
Define a medication cohort and see allergen and dietary prevalence across it, the analysis no tool could run before. Export it publication-ready, months of label review in minutes.
Filter to a cohort, read the allergen breakdown, and export it, start to finish.
Ask “how many statins contain gluten?” and get a real answer. The formulation-level analysis no tool could run before.
Every cohort exports as a FAIR package: citable, reproducible, and ready to drop into the paper.
The manual label reading that eats a semester, answered in a single query.
Small-cell suppression: small cohorts are refused and small filler rows are omitted, documented in every research package.
Excipient information sat locked in free-text drug labels. Answering one formulation question meant reading them by hand.
0
tools could query filler-level allergen prevalence before.
580K+
drug labels to read one at a time, by hand.
Months
of manual label review to answer a single formulation question.
Filter the corpus by drug class, dose, route, brand or generic, and excipient.
Allergen and dietary prevalence inside your cohort, and how it compares to the whole corpus.
Open any allergen to see the risk-tier split and the specific fillers driving it.
Data, codebook, citation, and a pandas loader. Versioned and dated for reproducibility.
Ongoing work across your team, continuous through monthly data refreshes.
Submit a ProjectSeveral labs or a department: describe each research group in one submission.
Submit a ProjectBy application. Submit your project on the research page: your research question, institution, and intended outputs. Our team reviews each submission and activates access for approved research groups. Research use is governed by the Research Use Terms.
One research group: the PI and their team. Faculty, research staff, postdocs, and graduate students working under the PI are covered. For several labs or a department, describe each group in your submission.
A FAIR research package: CSV, JSON, and Parquet data, plus a datapackage.json, a codebook, a CITATION.cff, and a pandas loader.
Yes. The Research Use Terms allow publishing aggregate findings and figures with the dataset citation. Every export ships with a citation file plus a data-as-of stamp and a dataset version, so your results are reproducible and datable.
Exports use small-cell suppression: a cohort below the minimum size is refused outright, and filler rows below it are omitted rather than shown as zero. The floor and the rule are documented in every research package. The data describes medications and contains no patient information.
Access by application · verified researchers