We solve the toughest human problems through the transformative power of Artificial Intelligence

There are 40,000+ Open Source AI models and architectures with unique settings and parameters that can be applied to your business problem.

Floating Point platform enables fast iteration and testing of models to discover the best configuration for solving your specific use case.

The platform allows for repeatable and measurable experiments to determine the optimal solution for your business problem.

During preparation, the Floating Point platform takes in your raw data sets and external data, transforming them into suitable formats for analysis and modeling.

• Data Ingestion: We import the relevant data into the platform in the appropriate format
• Data Processing: We understand the data to be able to put it into the correct format for training the models
• Annotation: If necessary, we annotate the data to create a training data set for supervised learning

The Floating Point platform is both Model-agnostic and Cloud-agnostic, allowing us to choose the optimal infrastructure for your project.

We can monitor the current training process and review past experiments.

This approach enables us to replicate each step of the process, understand model improvement, and foster continuous innovation and iteration in training.

The Floating Point platform offers both Cloud and On-premise integration.

Cloud integrations are suitable for companies lacking experienced data engineers, while On-premise integrations cater to clients with specific data privacy and legal requirements.

Once we select the best model from the experiments, based on your agreed success metrics, then we promote it to production and integrate it. The platform is highly scalable, automatically adjusting to meet your business needs in high demand scenarios. This ensures fast and cost-effective model execution in production.