*Intervention: Whether you are tracking a physical product, a nutritional supplement, a clinical protocol, or a digital therapeutic.
Most companies sit on massive amounts of longitudinal user data, but struggle to actually show what it means. We bridge the gap between rigorous statistics and real-world utility. We take your data, run the right models, and build interactive dashboards that visualize the impact of your intervention.
Apply for a Data Feasibility Review
Note: Not all datasets are ready for predictive modeling. We offer a complimentary, secure assessment of your data architecture to determine if your tracking infrastructure qualifies for a custom Interactive Efficacy Engine.
Test the mathematical architecture below. This is not a static mockup; it is a clinical-grade statistical engine running locally in your browser. Adjust the variables to compute precise standard errors, demographic shifts, and point estimates in real-time. Note that every dashboard is custom-tailored; we can build these interactive filters for whichever specific data points matter most to your product’s efficacy.
Every Interactive Efficacy Engine is built from the ground up to match your brand’s identity and specific analytical needs.
The interactive application above is divided into three distinct modules, designed to provide layered analytical depth for both executives and clinical teams.
Determine precise point estimations. Calculate dynamic outcomes, 95% Confidence Intervals, and clinical significance (POMP / effect sizes) tailored to specific demographic profiles.
Map non-linear trajectories over time or dosage. Instantly visualize exactly when the outcomes accelerate, plateau, or diminish.
Review the demographics and the distributions of the available predictors and the outcome.
We can handle the entire process from raw data to the final dashboard. However, if your internal team has already cleaned and structured your datasets, we can bypass the first stage and move straight into the statistical modeling to deliver your dashboard much faster.
Real-world data is often chaotic. Users drop off, people miss check-ins, and app usage is inconsistent. If you are handing us raw exports, we will clean the data, appropriately handle the missing data points, and structure it properly so it can be analyzed over time correctly. If your data is already prepped, we skip this entirely.
We don’t force a one-size-fits-all approach. We look at exactly how your data was collected—whether it is from a controlled trial, an A/B test, or just organic real-world users—and apply the correct statistical methods (like mixed-effects models) to find the actual signal in the noise.
We don’t just hand you back a dense PDF report (although you can easily export a clean, condensed summary directly from the app). Instead, we code the final statistical models into a HIPAA-compliant, secure interactive web dashboard. You and your buyers can adjust the variables and see the outcomes visually, in real-time.
If you already have a front-end application or a native mobile app, you don’t need us to build you a new dashboard. Because our statistical engine is entirely decoupled from the UI, we can deliver the pure mathematical brain as an agnostic, standalone matrix. Your internal developers can plug our predictive engine directly into your existing software, instantly upgrading your app with zero-latency longitudinal modeling.
Most health-tech dashboards rely on heavy, expensive servers or unpredictable AI. We engineered a specialized statistical architecture that performs zero-latency mathematical predictions directly in the user’s browser.
Because the predictive matrix computes locally on the user’s device (“Edge Computing”), sensitive health data is never transmitted to our servers. No database queries, no active tracking, strict regulatory compliance.
Moving the math to the edge eliminates server lag. When an executive or a consumer drags a slider on the dashboard, the 95% Confidence Intervals recalculate in less than 20 milliseconds. No loading bars. No spinning wheels.
You cannot build legal marketing claims on a dashboard where a Generative AI or LLM is “guessing” the outcome. AI hallucinations in healthcare are a massive legal liability. Our engine uses strict Matrix Multiplication extracted directly from peer-reviewed Mixed-Effects Models. It is mathematically absolute and completely safe for regulatory scrutiny.
We don’t use basic correlations. We use longitudinal mixed-effects models to isolate the longitudinal signal of your product.
Stop guessing what to put on your packaging. Relying on average user reviews or flawed A/B tests exposes your brand to scrutiny.
Our engine translates your complex, messy user data into deterministic, interactive dashboards. Your marketing and legal teams can use these engines to extract precise, mathematically defensible efficacy claims. You get clinical-grade statistical rigor, delivered at the speed of a web app.
Real-world consumer data is chaotic. Users skip days, take different doses, and have different baseline health metrics.
When standard data teams try to analyze this using basic correlations, the true impact of your product gets drowned out by the noise. Our proprietary Longitudinal Mixed-Effects Architecture strips away the chaos. By comparing users against their own baseline trajectories over time, we isolate the impact of your product.
This engine is not standard web development. It is a clinical-grade statistical tool architected under the strict oversight of internationally recognized biostatisticians. Every line of the underlying statistical code and model estimations are meticulously reviewed to ensure your claims can survive institutional scrutiny and regulatory audits.

Scientific Collaborator & Advisor
An internationally recognized researcher and authority in psychology and clinical outcomes. Bruce provides ongoing methodological input and scientific consultation for the team’s predictive models. His involvement ensures that the foundational algorithms are informed by an elite, peer-reviewed perspective.

Lead Statistician & Predictive Architect
A biostatistician and data scientist specializing in complex longitudinal models. Having collaborated and published extensively alongside Dr. Wampold over the last two decades, Aaron translates their shared scientific rigor into secure, interactive web applications. He engineers the sophisticated underlying mathematics and architecture that drive the interactive dashboards.