STOCK TITAN

QScreen AI Deepens US Institutional Pipeline as Screening Platform Adds Escalation-Based Review Capability

(Moderate)
(Positive)
Tags
AI

QScreen AI (CSE: QAI, OTC: PMEDF, FSE: 3QP) announced completion of its tiered screening architecture, now fully implemented in its browser-based readiness and impairment screening platform. The system uses a ~90-second first-stage gate on standard laptop or tablet webcams, escalating only ambiguous results to an extended assessment measuring smooth-pursuit eye tracking, response inhibition, and sustained attention.

According to the company, all steps, escalation outcomes, and final human decisions are logged and displayed in a supervisor console, with safety-critical signals routed directly to a person. The architecture is being demonstrated to a growing institutional pipeline in the southeastern United States and supports a commercial model based on workforce coverage site licensing.

Loading...
Loading translation...

Positive

  • None.

Negative

  • None.

AI-generated analysis. How Rhea-AI works. Not financial advice.

See more from StockTitan in Google Search and AI answers. Adds StockTitan as a preferred source · opens Google
Add on Google

Toronto, Ontario--(Newsfile Corp. - July 20, 2026) - QScreen AI Inc. (CSE: QAI) (OTC: PMEDF) (FSE: 3QP) ("QScreen" or the "Company") today announced completion of the tiered screening architecture at the core of its commercialization strategy. The architecture is fully implemented in the Company's browser-based platform and is now being demonstrated to prospective institutional partners through the Company's US channel process, where a first signed evaluation agreement remains the stated near-term milestone.

The milestone marks the fourth build milestone the Company has delivered in as many months: full platform integration across its three signal modalities in April, passive voice analysis in May, the grant of US Patent No. 12,640,164 announced last week, and now the tiered architecture that turns the patented method into a deployable institutional product.

Under the tiered model, every worker passes through a rapid readiness gate of approximately 90 seconds, running on the Company's patented single-camera method on hardware the site already owns, a standard laptop or tablet with a webcam, in a browser, with no installation project. Clear results clear and only ambiguous results escalate to an extended assessment.

The escalation tier is what makes the architecture different. Rather than re-running the same test, the extended assessment measures different abilities: smooth-pursuit eye tracking, response inhibition, and sustained attention. It is offered once per session, under site-configured policy, and it is not an appeal. A second-stage result can corroborate or contextualize a first-stage concern, but it can never overturn it. Certain safety-critical signals bypass escalation entirely and route directly to a person. Every step, both stages, and the final human decision are logged to a session record and presented side by side in the platform's supervisor console.

The design encodes a principle the Company believes will define this category: the software flags, gathers evidence, and documents; a trained supervisor or licensed professional decides. No worker is ever stood down by an algorithm.

The architecture is built for the arithmetic of a real shift change. A comprehensive assessment run on every worker at every shift is operationally impossible at scale; a 90-second gate for everyone, with extended assessment reserved for ambiguous results, screens an entire workforce within normal shift-start windows while spending measurement time exactly where the signal needs it. For the worker, the escalation tier functions as structured due process: an ambiguous result earns a fuller, fairer look before any supervisor conversation begins, uniformly applied and fully documented.

Dr. Rahul Kushwah, Chief Operating Officer of QScreen AI Inc., stated: "Everyone in this category talks about detection. We built for deployment. A site with three hundred workers cannot run five-minute assessments at shift start, and no workforce will accept a camera that sends people home. The tiered architecture solves both: ninety seconds for everyone, a deeper and fairer look only where the result is ambiguous, and a human making every decision on a documented record. This is what we are putting in front of institutional buyers right now, on the hardware they already own, protected by the patent estate we announced last week."

The Company's engagement with Global Frontier Advisors has produced a concentrated pipeline of prospective institutional and industrial evaluators in the southeastern United States. Dr. Kushwah will travel to the region in the coming weeks to conduct in-person platform demonstrations as part of the Company's US channel process, alongside direct outreach to provincial correctional health authorities in Canada. The tiered architecture also underpins the Company's commercial model, with site licensing structured around workforce coverage rather than per-test counts, as shared with its US channel partners.

About QScreen AI Inc.

QScreen AI Inc. (CSE: QAI) (OTC: PMEDF) (FSE: 3QP) is a health-technology company developing AI-based physiological screening for readiness and impairment across institutional and workplace settings, built on a foundation of two granted US patents. The platform is designed to run on standard hardware and to support fitness-for-duty and intake decisions, with every decision made by a qualified person. For more information visit www.q-screen.ai

Contact

Dr. Rahul Kushwah, COO
Rahul.kushwahphd@gmail.com
(647) 889 6916

Caution Regarding Forward-Looking Information:

This news release may contain forward-looking statements and information based on current expectations. The validation used simulated scenarios and synthetic patient data; live performance may differ materially. The platform is a clinical decision support tool requiring confirmation by a licensed healthcare professional before any action is taken. Although such statements are based on management's reasonable assumptions, there can be no assurance that such assumptions will prove to be correct. We assume no responsibility to update or revise them to reflect new events or circumstances. The Company's securities have not been registered under the U.S. Securities Act of 1933, as amended (the "U.S. Securities Act"), or applicable state securities laws, and may not be offered or sold to, or for the account or benefit of, persons in the United States or "U.S. Persons", as such term is defined in Regulations under the U.S. Securities Act, absent registration or an applicable exemption from such registration requirements. This press release shall not constitute an offer to sell or the solicitation of an offer to buy nor shall there be any sale of the securities in the United States or any jurisdiction in which such offer, solicitation or sale would be unlawful.

QScreen AI screening tools provide risk assessment and decision support only. They are not diagnostic medical devices and are not intended to replace professional medical judgment.

THE CANADIAN SECURITIES EXCHANGE HAS NOT REVIEWED NOR DOES IT ACCEPT RESPONSIBILITY FOR THE ADEQUACY OR ACCURACY OF THIS RELEASE.

To view the source version of this press release, please visit https://www.newsfilecorp.com/release/305712

FAQ

What did QScreen AI (OTC: PMEDF) announce on July 20, 2026?

QScreen AI announced completion of its tiered screening architecture for its browser-based readiness and impairment platform. According to QScreen AI, this architecture combines a rapid 90-second gate with escalation-based extended assessments, now being demonstrated to prospective institutional partners through the company’s US channel process.

How does QScreen AI’s new tiered screening architecture work for workplace readiness?

The architecture runs a ~90-second initial readiness gate for every worker using a single-camera method. According to QScreen AI, only ambiguous results escalate to a longer assessment measuring eye tracking, response inhibition, and sustained attention, with all steps logged and final decisions made by trained personnel.

What makes QScreen AI’s escalation-based review different from traditional screening approaches?

QScreen AI’s model escalates only ambiguous first-stage results to a second assessment that measures different abilities. According to QScreen AI, the second-stage outcome can contextualize but never overturn the initial concern, and certain safety-critical signals bypass escalation to reach a human decision-maker directly.

What hardware is required to run QScreen AI (PMEDF) screening sessions?

The platform is designed to run in a browser on standard laptops or tablets with webcams already on site. According to QScreen AI, it requires no installation project, using the patented single-camera method to deliver the approximately 90-second readiness gate at scale.

How is QScreen AI expanding its US institutional pipeline for the PMEDF platform?

QScreen AI reports a concentrated pipeline of prospective institutional and industrial evaluators in the southeastern United States. According to QScreen AI, its COO will travel to the region for in-person platform demonstrations as part of the US channel process with Global Frontier Advisors.

What commercial model supports QScreen AI’s tiered screening platform for PMEDF?

QScreen AI structures site licensing around workforce coverage rather than per-test counts for its tiered architecture. According to QScreen AI, this model aligns the platform with real shift-change arithmetic, screening entire workforces while focusing extended measurement time on ambiguous results only.