An eventual next step …

A tumultuous beginning isn’t always necessary for a good climax. However, it adds the necessary spices. Therefore, here we go …


A love of learning, wicked persistence and embracing uncertainty combined with serendipitous encounters helped to shape the journey of my life.

A journey that began at a remote welfare school in India and finished in London, UK — one of the knowledge capitals of the world. A journey that gave me the English language, a fully funded Masters degree in Computer Science (CS), and a PhD in CS (Search and Machine Learning) — Thanks to British Foreign Office (FCO) and Microsoft Research Cambridge. Moreover, a chance to work with many renowned scientists, respected individuals and an eventual paid job … well, a paycheque until the beginning of entrepreneurial life!

(Yes, the story does deserves a multipart book series, autobiography or inspirational non-fiction ;-)).

Eventually, I found myself building a self-sustaining Software-as-a-Service company named Jaggu. Our software automates knowledge tasks, often repetitive, done by humans (e.g., analysts) in organisations. Since the beginning, Jaggu has been built on its revenues. It started with a single person and zero customers, as they often do! As of today, we are a strong team of ten researchers, engineers, and experienced executives (in media, marketing and retail) with some of the world’s largest businesses as our happy customers.

Andhra Pradesh Gurukula School (Peddapur), not a highly regarded social welfare school! Many, often unforgettable, bittersweet memories.

Exciting next step …

A few months ago, a set of wonderful investors invested £1.5 million ($2.2 million — $ amount is subjected to hard or soft Brexit!) into the business to help and join us in the next phase of our odyssey.


What are we trying to solve, anyway?

In today’s digital world, we produce, comprehend and disseminate information around-the-clock — at work, at home and on the move. For example, responding to an email, taking a picture and commenting on social media. The substantial part of the knowledge economy (jobs in the developed economies) is about comprehending this information for creative problem solving and decision making.

Creative decision making and problem solving often require repeatable complex analysis of the data, extracting the information and making subtle judgements. Traditionally, humans do the fundamental analysis required for creative problem solving. However, over the last decade, the research in machine learning and computation equipped us with powerful tools to automate tasks performed by humans.

Imminent automation through Machine Learning

Over the last two decades, machines entered into our lives as assistants without any resistance. A simple example is search engines.

The search engines assist us by providing an ordered list of most likely contents that would satisfy our needs (based on their comprehension of the query and the content). They neither give us the exact answers nor do we expect them to do so.

Today, we cannot imagine our lives without a search engine. Simply put, a search engine is a glorified assistant designed to organise the world’s information for our needs and we embrace its service!

At present, there are an estimated 300+ million knowledge workers in the world and the number is growing. Their repetitive work to perform day-to-day tasks has the potential to be automated with machines. If you are using Outlook or Gmail at work, you may not realise it, but you are already being assisted by machines to comprehend and organise your communication, therefore increasing your work efficiency… so why stop there?

Many of the workers in Knowledge Industries (e.g., marketing insight) are underserved by intelligent software. This is due to the unique tasks performed by the knowledge workers in order to solve their customers problems.

Our objective : Software (machines) as a non-complaining colleague

Every business has its own set of procedures and solutions to solve their customers problems. Automation of these procedures and solutions through machines would help to accelerate growth and create new opportunities. It would also enable operational efficiency, speed of innovation and a shift in focus to creative problem solving. An intelligent automation software would therefore act as a never tiring assistant!

Machines don’t need a human level of intelligence and/or emotion to help grow the business.

By 2025, it is estimated that the Automation of Knowledge Work will have $5–$7 trillion impact on world economy.

I have been fortunate enough to be part of the recent revolution in machine learning, and have first-hand experience in building intelligent systems being used by 200+ million customers across three different industries (Gaming, Media and Retail).

Using our collective experience at Jaggu and our customers feedback, we are determined to build intelligent software to automate repetitive knowledge work. May the journey continue…

Final remarks …

We are always on a lookout for ambitious researchers and engineers to experience our exciting journey. A taste of what it would be like working with us can be described by slight modification of old British saying (learning the ropes) … You don’t learn the ropes, you build them!