Prediction

    Recursive Feature Machines — predictive performance you can verify.

    Averisys — an AI‑based decision intelligence data analytics platform — uses machine learning to learn from your data, forecast outcomes, and show you which factors matter most.

    Trusted by leading organizations

    AppleU.S. Environmental Protection AgencyNational Institutes of HealthNational Institute of Standards and TechnologyHarvard UniversityNational Science Foundation

    Stop guessing. Start knowing.

    Every day, your team makes decisions based on experience, intuition, and spreadsheets. Averisys takes that a step further — it applies machine learning to your data to show you what's likely to happen next and which factors matter most.

    No coding. No data science degree. Just clear answers you can act on right away.

    What you can do

    • Forecast demand, costs, risk, or performance — before it happens
    • See which factors have the biggest impact on your outcomes
    • Spot at-risk customers, patients, assets, or projects early
    • Test "what-if" scenarios before committing budget or resources
    • Get clear, shareable reports your whole team can understand

    All the sophistication. None of the complication.

    Behind the scenes, Averisys automatically selects the right approach for your data and your question. You focus on the decision — we handle the complexity.

    When you need a number

    • How much revenue will we generate next quarter?
    • What's the expected cost of this project?
    • How long until this equipment needs maintenance?

    When you need a yes or no

    • Will this customer churn?
    • Is this claim likely to be fraudulent?
    • Will this patient be readmitted within 30 days?

    Averisys picks the best model for your situation and explains the results in plain language — so you always know what's driving the answer.

    See results you can actually use

    AGOP feature importance diagnostics

    01 / Functionality - AGOR diagnostics

    Averisys inspects the learned feature structure inside Recursive Feature Machines so you can see whether the model has captured meaningful relationships in your data.

    • Review aggregate gradient diagnostics to confirm which inputs the model is using
    • Spot redundant or noisy features before they affect decisions
    • Compare learned feature importance against business intuition
    • Validate that the model's focus aligns with your domain knowledge
    Recursive feature-metric updates

    02 / Functionality - Recursive Feature Metrics

    RFM learns feature relationships recursively, so the platform can surface which inputs matter most and how they interact — without requiring manual feature engineering or model tuning.

    Built on Recursive Feature Machines and evaluated end-to-end

    Averisys uses Recursive Feature Machines (RFM) and other advanced machine-learning methods to learn from your data, rank the drivers that matter, and deliver predictions you can trust. Every model is assessed across four dimensions so you know exactly what you're getting.

    Predictive performance metrics

    03 / Performance

    Averisys measures every model against held-out data using task-specific metrics, so you can see exactly how reliable a prediction is before acting on it.

    • Classification tasks: accuracy, balanced accuracy, precision, recall, macro-F1, AUROC, AUPRC, error rates, and Brier score
    • Regression tasks: normalized RMSE, RMSE, MAE, and R-squared
    • R-squared shows improvement over a simple mean-only benchmark on the held-out outcome
    • Higher discrimination scores and R-squared favor performance; lower error and Brier values favor performance
    Resource and scalability metrics

    04 / Scalability

    Averisys records training time, P95 inference latency, and peak memory under the tested configuration. Lower values mean greater resource efficiency, so you can plan for the data volumes your organization actually uses.

    Feature importance ranking

    05 / Interpretability

    The platform follows the published feature order and measures ranking stability — a zero-to-one score that shows how repeatable the feature rankings are across recorded runs. Higher values mean more consistent, trustworthy driver rankings.

    06 / Interoperability

    Averisys transfers RFM outputs into LLM-generated reports without losing analytical value. Results, rankings, and risk signals flow directly into plain-English summaries, executive reports, and recommended actions — so insights move seamlessly from model to decision-maker.

    Averisys Analytics guarantees its security.

    ISO Certified
    HITRUST CSF Certified
    FedRAMP
    AICPA SOC

    Ready to see what your data can tell you?

    Watch a demo and discover how Averisys — an AI‑based decision intelligence data analytics platform — turns your data into clear predictions, actionable insights, and confident decisions.