Scarlet Platform

Cut the learning curve and integration effort
Run smart and fast at reduced costs

AI Training, Inference and Analytics in the Cloud
TensorFlow and PyTorch integration
Scarlet AI
Inference & Analytics

Scarlet AI Training,
Inference & Analytics

Easy deployment in your AWS Virtual Private Cloud
No data sharing. Hourly and usage-based pricing

Craft your AI and data strategy

Train and visualize TensorFlow and PyTorch AI models with ease and flexibility. Simply upload your training scripts to the platform and create training jobs that are automatically managed. With one click, you can export your trained models for inference.
It supports scheduling, multiple run history, instance type choice, per run visualization and cost/saving estimates.


DataMacaw’s Scarlet platform has been a joy to work with, and has transformed how we train models at Patronus AI. The best part is probably being able to train models on cost-efficient AWS spot instances, while retaining saved model weights and results in a centralized GUI. It’s easy to manage training jobs, and is more cost-effective than AWS’s SageMaker machine learning platform.

We also love its native TensorBoard integration, handy job completion notifications, and helpful support. I would recommend DataMacaw to any team with a complex machine learning workflow.

Andrew Hochstadt CTO, Patronus AI

It is a very impressive product, Scarlet did analyze my S3 buckets and present very coherently. The UI is very polished and easy to get around.

Jason Bloomstein Founder, Thunder Technologies LLC

Unlock the value of your unstructured data

We combine powerful integration and intelligent resource management to give you high performance at low running cost

Use cases

Scarlet Features

AI training

Scarlet offers training of TensorFlow and PyTorch models with ease and flexibility on dynamically managed CPUs and GPUs. It supports scheduling, multiple run history, instance type choice, per run hyper parameter tuning, per run visualization and cost/savings estimates.

AI inference and analytics

Scarlet allows running AI models trained on the platform, importing TensorFlow and PyTorch models, or using pre-integrated cloud models. It also prepares your data e.g. extracts text from different types of documents. With its intelligent metadata collection and efficient indexing, you get deep insights into your data.

Instant search and notifications

You can perform instant search across your entire data or just a subset and get full reports of your search results. You can also add your custom notifications to detect if and when your data meet a certain criteria. This can be particularly useful when combined with AI analysis and automated labeling, for example to spot the presence of sensitive content in your data.

Flexible policies

You can customize your data management strategy to your specific needs by adding policies that enable you to apply tactical actions to targeted data. You can run policies on-demand or schedule them to start automatically, for example to organize your data by category based on the AI analysis or to remove your duplicate data.

Scalable and cost effective

The platform leverages cloud storage and cloud processing capabilities, and the full potential of its deployment environment. Its patent pending architecture combines powerful distributed processing with highly responsive resource management to offer maximum performance at a fraction of the costs incurred otherwise.

Unified analytics and operation

The platform offers seamless integration of AI training/inference and analytics, seamless operation across sources from different cloud domains, and seamless policies across different regions. You can analyze and manage your Amazon S3 and GC Storage from a single console. The unified visibility and control enable smart efficient management of your data.