Clinical Answers in Seconds. Built for Bangladeshi Physicians.
An AI-powered clinical knowledge app that combines Bangladesh drug data, evidence-based references, and local disease protocols — designed for the pace of a real OPD.
The Problem
Physicians in Bangladesh are underserved by the reference tools built for other healthcare systems.
No Time to Search References in a Busy OPD
Between a packed patient queue and limited consultation time, flipping through PDFs or general search engines mid-consult simply isn't realistic.
Foreign Tools Lack Bangladesh Drug Data
Most international clinical apps are built around US or UK drug formularies, leaving out brands, availability, and dosing conventions actually used in Bangladesh.
Scattered Local Protocols
National and hospital-level treatment protocols exist, but they're spread across circulars, guidelines, and institutional memory — not one searchable place.
The Solution
Three pillars purpose-built for Bangladeshi clinical practice.
Bangladesh Drug Database (DGDA-listed)
A structured, searchable database of DGDA-listed drugs — brand names, generics, dosing, and availability relevant to Bangladeshi pharmacies and hospitals.
Evidence-Based Answers (PubMed-linked citations)
Every clinical answer is grounded in referenced literature with PubMed-linked citations, so physicians can verify the source in one tap.
Local Disease Protocols
National and hospital-level treatment protocols relevant to Bangladesh, organized and searchable in seconds — not buried in a circular from three years ago.
How It Works
From question to cited answer in three steps.
Ask in Plain Language
Type or speak a clinical question the way you'd ask a trusted colleague.
Dual-AI Validation
Two independent AI passes cross-check the answer against source material before it's shown.
Cited, Actionable Answer
Receive a concise answer with linked sources, BD-specific drug data, and protocol references.
Trust & Safety
Built with the seriousness clinical tools require.
Dual-AI Validation
Every answer passes through two independent AI validation layers before reaching the physician, reducing the risk of a single-model error going unchecked.
Transparent Source Citations
No answer is presented without a traceable source. Physicians can inspect the underlying reference — PubMed literature, DGDA data, or protocol document — behind every response.
Physician-First Design
Every interaction is designed around real consultation constraints: fast to query, easy to scan, and built to support clinical judgment rather than replace it.
Request Early Access
Join the physicians shaping Pulse AI before public launch.
Frequently Asked Questions
Early access participants will receive complimentary access during the pilot phase. Pricing details for the full launch will be shared with early access members first.
The drug database is built around DGDA-listed medications, structured specifically for availability and dosing conventions used in Bangladesh.
Every answer passes through a dual-AI validation process and is linked to a transparent source — whether that's peer-reviewed literature, DGDA data, or a local treatment protocol.
No. Pulse AI for Physician is a reference and decision-support tool designed to speed up access to information — it supports, not replaces, physician judgment.
The app is being built mobile-first for use during ward rounds and OPD hours, with broader platform support planned post-launch.