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 · free beta ends Nov 1, 2026
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. Free during the beta, which ends November 1, 2026.
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.
Nothing during the beta, which ends November 1, 2026. Every pharmacist and technician at your pharmacy is covered, and no payment details are required.
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 · free beta ends Nov 1, 2026
For academic & institutional research
Paid research licensing · invoiced through your institution
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.
Exports are k-anonymized: small cohorts are refused and sparse cells suppressed, documented in every codebook.
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.
Request a LicenseMultiple labs or library-wide access, scoped and quoted on a consult.
Request a ConsultAs a paid research license, invoiced through your institution with purchase orders accepted. You can see the license tiers on the research page. Department and library-wide licensing is scoped on a consult.
One research group: the PI and their team. Faculty, research staff, postdocs, and graduate students working under the PI are covered. Department or multi-lab coverage is an institutional license.
A FAIR research package: CSV, JSON, and Parquet data, plus a datapackage.json, a codebook, a CITATION.cff, and a pandas loader.
Yes. 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 are k-anonymized: cohorts below the k threshold are refused outright, and per-filler cells below it are suppressed. The k floor and the suppression rule are documented in every export codebook.
Invoiced through your institution · verified researchers