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Aegasis Labs Highlighted Among The UK’s Most Reviewed Smart Contract Development Companies

At Aegasis Labs, we share a passion for data and artificial intelligence, operate at the cutting edge, and believe in a pragmatic approach to solving complex problems using the latest technologies. Our mission is to help businesses accelerate business impact with new technologies and increase automation by designing and developing proven AI & Machine Learning solutions with clear ROI.

 

Today, we proudly announce that we’ve been recognised for being one of the most reviewed companies by The Manifest in the UK’s smart contract industry. For context, The Manifest is a business blog site that compiles and analyses practical business wisdom for innovators, entrepreneurs, and small and mid-market businesses.

 

Are you wondering how we got here? Let’s take a trip back to where it all started.

 

In 2019, Shehroze Bhatti established Aegasis Labs to provide innovative cloud engineering, analytics, and AI services that help businesses achieve their goals.

 

In 2021, we worked on a BI and analytics project with Clippd, a performance data platform. The client hired us to help builds their machine learning pipelines and algorithms for measuring performance analytics for golfers. We used modern data platforms, namely ClickHouse, AWS Step Functions, and advanced AI libraries from Python to implement the algorithms.

 

“The team successfully built 2 of the five deeper analysis and algorithms modules in our pipeline and delivered to production.” – CTO, Clippd

 

In 2022, The Manifest highlights the UK’s 15 most reviewed smart contract companies, highlighting Aegasis Labs among the leaders. We’re proud to receive this recognition, confirming our hard work and commitment. Thank you to our clients for their continued support and the opportunity to prove that we can handle any challenges they have.

 

Let’s talk about AI​. We are a Data Science and Machine Learning consulting and development firm solving business problems with AI and ML.

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