Build Models That Understand the Real World

Context-Augmented Machine Learning

Users of Dynam.AI’s proprietary platform Vizlab™ or professional services can access the patent-pending Context-Augmented Machine Learning to enrich existing data and train smarter models faster. Context-Augmented Machine Learning adds physical and scientific rules to provide model context, allowing you to solve complex “cold cases” and build accurate models that flexibly adapt to new situations in the real world.

End-To-End AI Development Platform

Built To Advance Data Science

Vizlab™ is a fully customizable end-to-end AI development platform with automated workflow, intuitive deployment framework, easy-to-navigate drag & drop functionality, pro-code environment, and pre-developed algorithmic libraries. Enterprise customers have used Vizlab for deep learning of their data to accelerate their deployment and significantly reduce their resource requirements.

We Use AI to Solve Your Data Problems

  • US-based team of experts in physics, science, and ML engineering
  • Patent-pending Context-Augmented Machine Learning to build physics, science, and behavior models
  • End-to-End Development for AI, ML, and Computer Vision applications
  • Access our services and tools today!

Schedule A Demo And Access Vizlab For Free!

Let us show you how our proprietary AI software for data scientists can turn your data into real-world business solutions.
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The AI Development Tools You Need

Features

User Friendly

Visualized Interface

An enhanced visualized interface allows data scientists to create models by dragging and dropping different components onto a canvas. This intuitive, easy to use, step-by-step approach improves efficiencies and reduces costs when creating models.

Get Started Fast

Ever-Growing Model Library

A centralized and easily accessible repository is critical for AI/Machine Learning. Vizlab’s model library contains pre-configured model architectures for easy training. It also holds all models and model versions for immediate access.

More Accurate Results

Data Augmentation

A crucial component of Machine Learning—data augmentation helps improve the performance of algorithms. Vizlab makes augmenting and training data easy, increasing accuracy, and generating better insights and predictions.

Deeper Understanding

Explainable AI

Explainable AI is a key requirement for troubleshooting and improving model performance. The Vizlab visual interface provides a clear view from input to output. The simple workflow boosts accuracy and reliability, building trust, and confidence in outcomes.

Custom Modifications

Component Flexibility

Vizlab allows data scientists to use prebuilt components and to author their own components, allowing for even greater flexibility and power in processing data and model training.

Use 2D or 3D Data

Computer Vision

Build, test, and train computer vision models with a variety of prebuilt tools and combine with Context-Augmented Machine Learning to solve problems such as object detection, integrity, guidance, imaging, diagnostics, and more.

Become a Developer Partner

Are you a data scientist working on an AI software solution? Gain access to this revolutionary development platform to improve your machine learning design.

AI Support Where You Need It

We work with enterprises of every size and level of technical expertise across many industries to build the best AI business solutions possible, providing toolsets or hands-on help as needed.

Advancing Machine Learning Integration

Deriving greater value from a wide ecosystem of technology innovation and integration.

Work With Dynam.AI

If you’re ready to partner with an AI company that fully understands what it takes to solve your most pressing business problems, contact us to start the conversation. 

Free Consultation
Dynam.AI Announces the Limited Commercial Release of Vizlab™ 1.0A, a NextGen AI & Machine Learning Development Platform for Data Scientists 

Recent News

Dynam.AI Announces the Limited Commercial Release of Vizlab™ 1.0A, a NextGen AI & Machine Learning Development Platform for Data Scientists 

May 16, 2022

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