spark – grow AI with 100x less data and effort
Conventional AI requires you to curate thousands of datapoints to train and maintain AI – but biomedical datasets are often small and hard to curate. We developed SPARK, which requires up to 100 times less data curation to grow AI from scratch and give you the insights you need. Use it to hit the ground running as you deploy biomedical AI in your organisation.
With spark, you can now submit and annotate image data (e.g. microscopy or radiology data) to train cutting edge AI architectures. Only a few images are needed – then, after validating AI predictions and correcting edge cases, you can deploy your custom biomedical AI. spark comes with powerful and customisable analytics to generate the insights that you require.
Scroll to our case studies below to see for yourself how our clients used spark to create AI solutions that are less prone to human biases, offer valuable insights, and speed up data analysis.
spark VS conventional AI
How to create an AI with DeepMirror spark
Grow custom AI from scratch within hours
Keep up with changing world by adding more data and adjust your models
AI solutions come with powerful & customisable analytics for biomedical data so that you can extract the insights you need
What clients say about us
Our Team
Dr Maximilian Jakobs
Co-Founder, CEO
Dr Andrea Dimitracopoulos
Co-Founder, President
Ryan Greenhalgh
Founding Engineer
Ashna Ahmad
Business Development
Amir Shirian
Machine Learning