Peltarion

Peltarion is a cloud-based, low‑code deep learning platform that lets teams build, train, and deploy neural‑network models end‑to‑end through a graphical interface. It targets organizations that want production AI without assembling their own MLOps stack or writing heavy ML code. Peltarion is an operational AI platform that covers data preprocessing, model design, training, evaluation, and deployment in one UI, so non‑expert teams can ship commercial AI solutions faster.
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Core features
Drag‑and‑drop interface for building deep learning architectures and workflows, including preprocessing, training, and evaluation steps.
​Support for multiple data types (tabular, text, images, time series) and ready‑made building blocks and pretrained models.
​Integrated experiment tracking, visualization of metrics, and comparison of model runs.
​One‑click deployment to scalable cloud endpoints/APIs with monitoring and management.
​Collaboration features so multiple users can work on the same projects with shared assets.

Key tools it offers
Graphical model builder: Canvas to design neural networks and processing pipelines without writing code.
Data manager: Tools to upload, explore, clean, and transform datasets inside the platform.
​Experiment & visualization suite: Metric dashboards, learning curves, and result visualizations for faster iteration.
​Deployment manager: Built-in API/endpoint deployment, scaling, and integration options for production use.
​Integrations & no‑code connectors: Connectors and guides for using Peltarion models from no‑code tools like Bubble or other apps.
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Benefits for users
For business & product teams: Ship AI features (recommendations, predictions, classification) without hiring a large ML engineering team.
​For data scientists: Prototype and operationalize deep learning models faster than with raw TensorFlow/PyTorch pipelines.
​For education & smaller orgs: Use AI in real projects with an accessible UI and learning resources.