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Boltzbit Platform

The First Neural Generative Learning Platform

Innovate with simplicity

Innovation is all about exploring unknowns. Even the most sophisticated neural networks fail on simple cases without the right training data. The complex case-by-case data engineering makes AI innovations extremely costly.

Our generative AI understands all aspects of data by learning to solve diverse tasks, like missing value imputation, probabilistic prediction and anomaly detection. The more tasks our AI is trained on, the more innovative it becomes.

Automate with creativity

Dealing with uncertain environments is essential for intelligent automation. Building AI reacting smartly to unpredictable cases is the ultimate challenge for enterprise AI providers.

Using Boltzbit AI platform, businesses can realise innovative ideas using AI without heavy research and engineering. The more tasks Boltzbit AI are trained on, the more reliable and flexible our AI solution can be in unpredictable scenarios.

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One model. Unlimited Tasks.

One model for one predictive task is expensive and not scalable. Neural Generative Learning builds a versatile model for unlimited tasks.

  • Conventional AutoML platforms are task oriented. One model is trained to serve a single predictive task, which is specified by inputs and outputs.
  • On Boltzbit platform, users can leverage Neural Generative Learning to build a single model for unlimited predictive or generative tasks.

Built-in Training Data Synthesis

Boltzbit platform integrates DataOps and MLOps. No need to generate synthetic data deliberately.

  • Data processing and augmentation are usually not supported at MLOps platforms. Users need to switch between data platforms and MLOps platforms in the development lifecycle.
  • Boltzbit Platform is an all-in-one platform to cover both DataOps and MLOps. By virtue of Neural Generative Learning, training data can be easily augmented and synthesised without extra cost and effort.

Developer Inclusive

ML should not be exclusive to Data Scientists. We democratise AI to whoever is passionate about innovation.

  • Elementary AutoML platforms are designed for data scientists, which arguably limits the innovative collaboration across teams.
  • Besides the coverage of standard data science use cases, Boltzbit platform also provides developer-friendly gears to support software engineers to integrate ML work through their workflow. Of course, we do open source.

Support Cutting-edge AI Research

AI research without the right tool is dull with tedious coding and experimenting. Boltzbit platform simplifies AI research with code generation and experiment management.

  • Significant time of ML research is spent on building experiment infrastructure. Researchers are often distracted from working on innovative ideas.
  • Boltzibt platform enables researchers to focus on the most critical part by eliminating all coding and experimenting burden. Level up teams' R&D capacity with simple clicks and drags.

Full Deployment Support

Shipping ML outcomes in production is often undervalued on unseasoned AutoML platforms. Boltzbit platform offers wide options for online and offline ML deployment.

  • ML model deployment is usually restricted to limited options, e.g. tensorflow, scikit-learn (python). This deficiency hinders ML productionisation when more flexibility is needed.
  • Boltzbit platform provides full deployment support in all major programming languages. One can flexibly customize online serving configs or download tailored artifacts for offline usages.