Stop Waiting for
LINACs to Fail.

The world's first Physics-Constrained Predictive Analytics engine for Linear Accelerators. Transition your radiotherapy clinic from Fail-then-Fix to Predict-and-Prevent.

Predictive Engine Live
ANALYZING DRIFT
2.0% 1.0% 0.0% PROACTIVE WINDOW TOLERANCE LIMIT PREDICTED FAIL

The End of the Fail-then-Fix Era.

A single unexpected machine failure disrupts critical patient care and creates severe scheduling backlogs. Pocket QA shifts your clinic from reactive firefighting to proactive, individualized QA driven by global intelligence.

Today: Reactive & Rigid

  • One-Size-Fits-All: Applying static, generic QA schedules that ignore the unique age, wear, and individual characteristics of your LINAC.
  • Ambiguous Alerts: Struggling to definitively separate daily human setup errors from true, underlying mechanical drift.
  • Isolated Data: Operating in a silo without visibility into how your machine's performance compares to global clinical standards.

Tomorrow: Proactive & Individualized

  • Tailored Schedules: AI dynamically optimizes your QA frequency based on your LINAC's specific mechanical characteristics and wear patterns.
  • Root Cause Isolation: Mathematically distinguish phantom setup noise from actual machine degradation, eliminating false alarms.
  • Global Benchmarking: Compare your LINAC's health and QA level against thousands of machines worldwide to continuously elevate patient care.

Within Tolerance Today. Out of Compliance Tomorrow.

A typical annual or monthly test only verifies your LINAC at a single point in time. If a critical beam symmetry or dose constancy parameter registers a deviation under the baseline margin today, it technically registers as a pass.

The 11-Month Blind Spot: If that parameter actively drifts past the tolerance ceiling just 30 days after your annual test, your team will continue treating patients using an out-of-tolerance machine for the next 11 months without ever realizing it.

Pocket QA monitors trend velocity on every mechanical and dosimetric axis. It continuously processes incoming measurements to predict exactly when a parameter will exit clinical tolerances, closing the dangerous blind spot between scheduled audits.

Pocket QA predictive telemetry tracking an active LINAC parameter drift toward threshold limits

Not a Black Box.
A Physics-Constrained Engine.

Pocket QA is powered by a robust mathematical engine built specifically for medical physics, blending advanced statistical analysis with the real-world mechanical limits of your LINAC.

Separating Drift from Noise

Standard QA flags deviations without context. We use advanced statistical mathematics to identify the true source of an error. By combining hard-coded physical limits with unstable deviation detection, Pocket QA confidently separates daily human setup variations from actual mechanical drift.

The Individualized Fingerprint

Every LINAC ages differently. Instead of relying on rigid, one-size-fits-all thresholds, our engine learns your machine's unique behavior over time. It establishes a personalized stability baseline to create a custom QA schedule tailored to its exact health profile.

Empirical Fleet Benchmarking

Never evaluate your machine in a vacuum. Using Bayesian Updating, Pocket QA blends your local machine data with the global fleet telemetry of thousands of LINACs, allowing you to benchmark your QA level and objectively increase treatment quality.

The Vendor-Neutral Intelligence Platform.

Pocket QA bridges the gap between existing QA measurement devices, LINAC manufacturers, and clinical teams. By centralizing data from your current QA tools, our system continuously evaluates individual machine drift and predicts precise failure timelines for the hospital.

1. Mobile Data Entry

Designed for speed at the console. Physicists quickly input daily and monthly measurements from any QA hardware directly into the Pocket QA smartphone app, completely eliminating paper logs.

2. Cloud Command Center

Data instantly syncs to the cloud. The web platform processes these inputs to provide real-time predictive ETAs, individual LINAC drift analysis, and root-cause isolation directly to the hospital's screen.

Transforming Raw Data into Clinical Foresight

We don't just store your compliance measurements. Pocket QA acts as the central intelligence layer—taking data from your existing TG-142 measurement tools and translating it into predictive failure timelines for hospital administration.

1. Data Capture

Input your standard TG-142 measurements from any vendor's QA device using our frictionless mobile app.

The Engine

2. Physics-Constrained AI

The cloud platform evaluates the raw data, continuously tracking individual LINAC drift and eliminating setup noise.

3. Hospital Intelligence

Chief Physicists and administrators receive clear ETAs on potential machine failures to schedule preventative maintenance.

Continuous QA Tracking

300+ Measurement Points.
Zero Surprises.

A modern LINAC requires continuous oversight across more than 300 distinct QA measurement points—spanning safety, dosimetry, mechanical, MLC, and imaging tests. Tracking this volume of data manually leads to alert fatigue and missed warning signs. Pocket QA silently monitors the trend velocity of every single measurement in the background. Instead of digging through spreadsheets, your team only sees the Predictive Watchlist—highlighting active drift with precise ETAs and recommending specific proactive tests before a failure occurs.

Pocket QA Command Center Dashboard showing 300+ tracked parameters and ETAs

Explore the Clinical Details

Ready to take a deeper dive? Download our comprehensive clinical brochure to explore the mathematical framework, integration requirements, and the complete list of tracked TG-142 measurement points.

Download Brochure (PDF)

* Full brochure coming soon.