Edicat Learning

Edicat Learning is an AI-driven platform that personalises learning to each student based on their individual needs.
Edicat Learning

Meet the team

Edicat-Learning-Summer-Accelerator

Mohammad Sultan
As an Imperial College Business School graduate and a teacher with 3,000+ hours’ experience, Mohammad has taught extensively in both large classrooms and on a one-to-one basis. He was astonished by the significant difference in improvement that personalising education can have on performance. His experience inspired him to create a scalable, accessible and affordable means to personalised learning.

Vamsi Yerramsetty
Vamsi has a PhD and 7+ years’ tri-sector experience in education, including strategy consulting for Deloitte where he successfully led the implementation of adaptive assessments in high-stakes recruitment exams for the State Government. He has also liaised with the Department of Education in India and supported the development of the first education-based Unified Digital System impacting 170K schools, 1M teachers and 11M students. When Vamsi saw the stark differences in quality of education between the US and India, he was driven to democratise access to high-quality, personalised learning.

Atmajitsinh Gohil
Atmajit has spent over 10 years building robust machine learning models for Citibank, Barclays and Deloitte. He is passionate about applying the same rigour that goes into developing sophisticated models for financial institutions to designing state-of-the-art personalised learning solutions.

 Jimmy Ye Hi Zhang
 Jimmy has over 10 years of experience developing end-to-end machine learning products at RS Energy Group, Imperial Oil Group and Suncor. With deep technical expertise, Jimmy is keen to leverage the advanced technologies available to revolutionise education.

Get in touch

Website: edicat.co.uk

The problem

For centuries classroom teaching has followed the same ‘one-size-fits-all’ formula. Large rooms and a linear curriculum that’s taught at one pace – regardless of how quickly individual pupils learn.

The solution

Edicat Learning is an AI-driven platform that personalises learning to each student based on their individual needs. It works by first identifying individual knowledge gaps with an adaptive assessment. Pupils’ teachers (and other stakeholders) are provided with performance reports that identify knowledge gaps and provides a personalised curriculum that will help accelerate a pupil’s rate of learning. By saving teachers time and empowering them with data-driven tools, we can better equip them to identify students that are struggling and are at risk of falling behind. By helping them assess students more quickly we can also ensure they have more time to do what they do best — teach.

Why did you apply to the Summer Accelerator Programme?

We applied to Summer Accelerator because we had tested our proof-of-concept and had demonstrated demand for our product. Our next step was to develop a robust go-to-market strategy and felt that the expertise that the Enterprise Lab could provide would be immensely helpful for this. We’re strong believers in the power of community and have benefitted greatly from exchanging ideas with other cohort teams and supporting one another on our entrepreneurial journeys.

What are you looking to achieve through the Summer Accelerator?

We have 3 key goals

  1. To launch our product to 150 early adopters and measure key KPIs such as grade improvement, hours of usage and student satisfaction.
  2. To identify the underlying demographic and psychographic features of our early adopters that have the greatest need for our product and;
  3. To develop a detailed go-to-market strategy with campaigns that will attract our target segments.

Quote

We're strong believers in the power of community and have benefitted greatly from exchanging ideas with other Summer Accelerator cohort teams.
Mohammad Sultan

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