Fill the gap between business and AI without any skills development.
is everyone talking about AI, but nobody is really implementing it in business cases?
Why
Mainly because the ones who build, who are the developers, have limited skills when it comes to AI, and because AI experts, meaning data scientists, are not comfortable with app development.
2
Customize with your own data
Manually upload the data you need in a few clicks to provide some context to your use case.
3
Validate the final output
In a few seconds, test the final result with a dedicated module. You can always go back to the customization step to make your model more accurate.
4
Train with different data sources
Easily train your model by providing some context and any other relevant elements for its scaled version.
5
Build your tailor-made AI flow
Design your specific flow using Superstorm components and customize your flow with your own data.
6
Get your own API
Deploy and publish your flow in one click and integrate your dedicated API into your apps.
Text-to-image
Text-to-speech
Transcribe content into engaging audio
Customize the voice parameters and get a realistic output
Use cases
TLDR voice note for a CEO
Marketing voice-over for product presentation
Speech-to-text
Extract text from any meeting
Understand more than 100 languages
Use cases
Meeting notes from a ground workforce
Voice feature in a chatbot
Try and play with multiple AI layers
Depending on your use case, you may need one or many models. Feel free to chain them and build your own flow.
Customize by connecting data from any source
Use our adapters to easily feed your model, no matter where or how your data is stored.
Build a tailor-made flow for your use case
Get started with a library of templates for common workflows (chatbots, document Q&A, etc.).
Integrate your AI flow with just one line of code
Once your flow is validated, you can copy-paste your code sample into your project and start using it.
Don't worry about deployment and scaling
With just one click, Superstorm takes care of the entire pipeline by installing your model flow on a high-performance server and publishing it within minutes.
Cloud vs. On-premise
Data privacy is our top priority. You can trust us to store your data, or you can choose to keep it in your own infrastructure.
