Machine Learning:
Build Models That Learn and Deliver Results​​

What We Help You With​

Doctor reviewing health data on a tablet with a patient
  • 01

    Customized High-Quality Data

    Build highly accurate datasets for training and testing machine learning models by combining your domain expertise with cloud tools that streamline and automate data labeling.

    • Data labeling
    • Training sets
    • Domain expertise
  • 02

    Data Mining

    Mine your data to uncover patterns and features tied to your business problem: identify clusters, detect anomalies, and reveal relationships between variables using advanced statistics.

    • Clustering
    • Anomaly detection
    • Statistics
  • 03

    ML Pipelines

    Automate your machine learning workflows from training to deployment and interpret model outputs with confidence. Deliver solutions that end users can trust and understand through clear, interpretable results.

    • MLOps
    • Explainable AI
    • Automation
  • 04

    Integration and Deployment

    Integrate and deploy your machine learning models in the cloud or on embedded processors using your preferred language (C, C++, Python).

    • Cloud
    • Embedded
    • C / C++ / Python

Our Expertise

Our Expertise

MLProcess

01 Deep Learning

  • Convolutional Neural​
  • AutoEncoders​
  • LSTM​

02 Classification​

  • Logistic Regression​
  • SVM​
  • Ensemble Methods
  • Decision Trees​

03 Regression​

  • Linear Models​
  • SVR​
  • AdaBoost​
  • XGBoost​

04 Libraries​

  • Numpy​
  • Pandas​
  • Scipy​
  • Tensorflow​
  • PyTorch​

Innovative ML/DL Models In HealthCare

Regression

Algorithms to estimate cardiovascular parameters

  • Cardiac output
  • Respiration Rate
  • Vascular tone
Techniques ↻
Techniques

Regression

Linear Regression Transformers AutoEncoders

Classification

Algorithms to determine and label the kind of disease

  • Atrial fibrillation
  • Aortic Stenosis
  • Hypotension
Techniques ↻
Techniques

Classification

CNN LSTM XGBoost Random Forest

Clustering

Group similar patients and identify clusters of patients with similar phenotype

Techniques ↻
Techniques

Clustering

PCA K-Means ICA

Prediction

Using current data and common trends to make predictions

Techniques ↻
Techniques

Prediction

ARIMA Temporal Transformers (TFT)

Get in touch with us

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