Interpretable Machine Learning is a field of study that focuses on understanding and interpreting the decisions made by complex machine learning models. It uses techniques such as visualizations, algorithms, and explainable AI to gain insight into how a model works and why it produces certain results. With Interpretable Machine Learning, it is possible to identify potential biases and errors in the model and make changes to improve its accuracy.

Avalo uses a novel AI approach for genome scans and identification. Once genes are identified, we generate low-cost assays to survey trait across species. Finally, we work with partners to develop and produce new varieties for targeted markets. Avalo's process uses advanced synthetic biology, predictive breeding, and in silico optimization .

Clutch.AI was born at Khosla Labs to solve problems at incubated startups, such as Novopay. Our first project was to build an AI enabled Credit Rating Engine for Kiraana Owners working with Novopay. Since many of them were not High School graduates, and most of them didn't have CIBIL scores, we leveraged hundreds of data sources, including Kiraana transactions, online indicators, public records, POS meta-data, etc. Since we got to work with several banks, we realized that machine learning isn't used by a lot of banks since it's not interpretable. We developed a Zero Code interpretable machine learning workbench that can be used across industries to quickly see relationships in and predict future data with an API that can simply be plugged in to web or other software applications. Leveraging this tool, we built an AI enabled real-time fleet management solution that tracks Novopay's network of ~800 sales people and distributors, managing their retail network of over 50K locations. We help that allocate leads more intelligently, manage churn in real-time, and optimise beat maps based on traffic.


Computomics is a team of world-leading experts in machine learning, plant research and bioinformatics. The company's interpretable machine learning technology enables rapid understanding of genomic data for plant breeding, agricultural biotech, and microbiome researchers. To learn more, please visit computomics.com or follow komputomics on twitter .

Our unique patent-pending technology offers real-time predictions that can improve the performance of a user’s investment strategy or a business’s decision-making. Our partners testimonials include: Hung-Wah Cheung Managing Partner, demeter capital partners holdings, LLC and emergentquant.com .

Ambiata delivers world-class ML and AI solutions which leverage your data to identify the next-best-actions for your customers. Our experts will help you determine and embed a fit-for-purpose ML operating model that improves your cycle time and enables model governance.

MySciencework serves the international scientific community. Database includes more than 90 million scientific publications and 12 million patents. Our vision is to empower research institutions and industries with more intelligence related to research results. If you are a scientist, use mysciencework's open network to discover scientific publications of all disciplines .

Orion health is a global, award-winning provider of health information technology. Our technology is used by hundreds of thousands of clinicians across the globe to manage the health care of more than 100 million patients. We believe that software needs to do more than serve up data; it needs to provide insights in real time to the people who need it .

Octant is a therapeutics company building drugs that match the complexity of human diseases. Our platform uses synthetic biology, high throughput multiplexed assays, synthetic chemistry, and computation to engineer and interrogate drugs, proteins, and signaling pathways at unprecedented scales. We're building a world-class team of antedisciplinary scientists to design better drugs .

Octant is a therapeutics company building drugs that match the complexity of human diseases. We're building drugs with novel mechanisms of actions guided by massive datasets in engineered human cells. Our platform uses synthetic biology, high throughput multiplexed assays, synthetic chemistry, and computation to engineer and interrogate drugs, proteins, and signaling pathways .

Interpretable Machine Learning

What is Interpretable Machine Learning?

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