Looking for COVID-19 emergency remote work security solutions?

LEARN MORE
machine-learning

IoT Machine Learning

Work with data scientists who are passionate about applying their knowledge to real-world IoT problems. Our data science team consists of experts in machine learning, advanced computational science, and statistics committed to turning your data into a competitive advantage.

logo-accenture
logo-hp
logo-iheart
logo-vizio
logo-mozilla
logo-texas

Our Machine Learning Capabilities

Every business needs the power to make data-driven decisions. From data cleaning and consolidation to constructing data pipelines, to building and validating predictive models, to deploying a machine learning-enabled application, Very's machine learning experts are ready to architect and develop a machine learning solution that turns your data into actionable predictions and recommendations.

machine-learning

Our machine learning services

• Model design, training, and validation
• Anomaly detection
• Multivariate time series forecasting
• Failure prediction
• State classification (for machines/systems)
• Digital twin
• Data quality audit
• Data warehousing
• Data / machine learning strategy

machine-learning-tools

Leveraging advanced machine learning tools

AWS Sagemaker

Very's machine learning team uses AWS SageMaker to build, train, and deploy machine learning models quickly.

Python

We use the data science stack of Python packages (NumPy, Pandas, Scikit-Learn) for scientific computing in Python.

PyTorch

We use PyTorch for our deep learning-based solutions. For example, employing Long Short-Term Memory (LSTM) or Variational Auto-Encoders (VAE) for predictive maintenance and anomaly detection.

Apache Airflow

Our team leverages Airflow for workflow authoring, scheduling, and monitoring.


We have done this before, and we'll do it for you.

With a focus on mitigating risk and maximizing opportunity, we turn pivotal moments into competitive advantage.

MACHINE LEARNING

Anomaly Detection for Manufacturers

By teaming up with Very, SUN was able to develop a hardware and software solution facilitating understanding of machine health.
VIEW CASE STUDY
VIEW CASE STUDY

MACHINE LEARNING

Predictive Analytics to Measure Company Health

We used predictive analytics to create a platform to reliably predict burnout and turnover.
VIEW CASE STUDY
VIEW CASE STUDY

Very's data scientists came up with suggestions that were in the back of my head but I thought, 'that's probably not possible.' And they made it happen."

Anthony Connelly

FOUNDER, HOP

We are ready to get your IoT project started

Focused on speed, efficiency, and scalability, our product teams de-risk projects though trusted partnership, easy communication, and an agile workflow.

Focused on speed, efficiency, and scalability, our product teams de-risk projects though trusted partnership, easy communication, and an agile workflow.

HOW CAN WE HELP? HOW CAN WE HELP?