Ingenii is a data engineering platform that integrates quantum machine learning algorithms into existing machine learning pipelines, enabling the processing of larger datasets with improved speed and accuracy. The platform provides tailored consulting services to optimize data infrastructure and identify relevant use cases for quantum applications, enhancing efficiency and reducing training costs.
Funding
$3.2M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Classical machine learning models struggle with the computational demands of processing exponentially large datasets, limiting their ability to extract insights from complex data. Traditional machine learning pipelines also face challenges in data representation and feature extraction, which can impact model accuracy and training efficiency.
Solution
Ingenii offers a platform that integrates quantum machine learning (QML) algorithms into existing machine learning workflows, enabling the processing of larger datasets with improved speed and accuracy. By leveraging quantum computing principles, Ingenii's platform encodes exponentially larger data samples, achieves computational speedups, and facilitates novel data representations. The platform also provides consulting services to optimize data infrastructure and identify relevant use cases for quantum applications, enhancing efficiency and reducing training costs.
Target Audience
Ingenii targets data scientists, machine learning engineers, and researchers in fields such as oncology and drug discovery who are looking to leverage quantum computing to enhance their existing machine learning pipelines.
Features
- Integration of quantum algorithms into classical machine learning pipelines
- Encoding of exponentially larger data samples for enhanced processing capabilities
- Quantum filters to enhance image quality in medical imaging applications
- Hybrid 3DCNN to accelerate the training process for binding affinity predictions
- Quantum fusion models to improve the accuracy of binding affinity predictions
- Databricks consulting services and accelerators tailored to leverage Databricks, Delta Lake, and Azure Data Factory (ADF)
- AI-powered QML learning & development platform