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Aiskyra

Aiskyra is an AI‑powered drug assistant used by Canadian clinicians to obtain dosing recommendations, interaction checks, and guideline‑backed answers in plain clinical language. Each response is automatically cited from Canadian sources such as Health Canada Monographs and Diabetes Canada, and delivered in under ten seconds with weight‑based calculations. The tool is available on web, iOS and Android, and is designed for pharmacists, physicians, nurses and students.

TorontoFounded 2024250+ followers
Updated 2 days ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Canadian clinicians often need rapid, accurate drug dosing, interaction checks, and guideline-based recommendations, but accessing up-to-date Canadian sources requires searching multiple documents and can delay patient care.

Solution

Aiskyra offers an AI‑driven drug assistant that generates dosing recommendations, interaction alerts, and guideline‑backed answers within ten seconds. The system extracts patient details such as age, weight, renal function, comorbidities, and current medications from the query, then retrieves and cites information from Canadian authorities like Health Canada Monographs, Diabetes Canada, CCS, and other specialty societies. Responses include primary recommendations, alternatives, monitoring plans, and a complete citation trail, enabling clinicians to copy, counsel, and act confidently. The tool integrates into existing web, iOS, and Android workflows for pharmacists, physicians, nurses, and students, providing real‑time, weight‑based calculations and plain‑language explanations while maintaining Canadian data residency and privacy standards.

Target Audience

Primary users are pharmacists, physicians, and nurses in Canadian healthcare settings, as well as pharmacy and medical students who require quick, evidence‑based drug information.

Features

  • Retrieval‑grounded AI that queries indexed Canadian guidelines and primary literature at the moment of each request
  • Automatic extraction of patient context (age, weight, renal function, comorbidities, active meds) to deliver personalized, weight‑based dosing
  • Full citation trail for every recommendation, pulling from sources such as Health Canada, Diabetes Canada, CCS, KDIGO, and others
  • Cross‑platform availability (web, iOS, Android) with no additional workflow changes required
  • Pharmacist‑reviewed answer validation each quarter to ensure accuracy and mitigate model drift
  • Canadian data residency and privacy compliance, with no patient identifiers stored
This profile is AI-generated and may contain inaccuracies.