Our Purpose 

Robonomics AI aims to democratise Artificial Intelligence (AI) to enhance human lives. 

The World Economic Forum predicts Artificial Intelligence will add US$ 16 Trillion to the global economy by 2030. We enable you get there. Before your competitors.

Robonomics AI enables enterprises enhance customer centricity, revenues, process efficiencies and cyber security by Artificial Intelligence solutions that are purpose-built on our platform. The platform enables gig-workers (AI researchers, IT consultants & University students) build innovative AI-based MVPs (Minimum Viable Products) to solve these problems, at scale. 

This eclectic ecosystem of skills delivers a level of innovation and scale that is almost impossible to achieve with dedicated employees!

Once your stakeholders are comfortable with the Minimum Viable Products, our experienced consultants industrialise them into SaaS products that work with your legacy systems.

AI First System Integration

Implementation of Artificial Intelligence and RPA requires coming together of complementary technologies collectively called Digital 2.0.


Each of the emerging Digital 2.0 technologies like Machine Learning (ML), Internet of Things (IoT), Robotic Process Automation (RPA), Process Mining and Chatbots are individually very potent in solving your problems. A combination of these best-fit technologies can be more formidable than the sum of individual parts.

We partner with leading OEMs in each technology category to offer the most fit-for-purpose solutions

Robonomics AI is a System Integrator of Digital 2.0 Technologies

Your Automation Journey

We have built an innovative business model to create the skill base aimed at serving that need. This is how we influence the supply chain of AI and RPA skills:

Generating AI Demand with Organisations

We encapsulated our lessons learnt from the initial 90 use cases into structured methodologies for implementation of Artificial Intelligence based technologies. We have structured tools and solutions for each step of an organisation’s Automation journey – Educating, Envisioning (identifying use cases), Experimenting (building Minimum Viable Products), Executing and Excelling.

Creating AI and RPA Skills

Lack of adequate skills and experience is the biggest impediment to AI and RPA adoption. Our engagements with corporates provide us the insights into the skills highest in demand. We use our implementation experience to create a large pool of AI and RPA implementers by designing and running University courses, Upskilling experienced professionals, partner with Research labs, running an MVP factory and Automation CoEs.

We serve as a catalyst to generate the need for new technologies’ Proof of Concepts with corporates.

What our Clients Have to Say

“The power of AI and Robotics to enable legacy transformation is only just being realised. In a few weeks, we were able to work with Robonomics AI to create 35 separate new use cases where this architecture could provide new insights, real automation and better business outcomes immediately.”

“The team at Robonomics AI have been fantastic to deal with. I cannot recommend them highly enough. They have been very accommodating with our guys to develop a solution and bring really innovative ways that relates to our business.”

“My experience with Robonomics AI has been very smooth. Very friendly guys. They are very eager to learn. They listen very well and take on board what we say. And offer ideas on how we can also improve our processes to work better with the Robotic Technology.”

“The session opened up our minds to customer experience journeys while talking about automation. Really found the details presented through case studies eye-opening, which brought the complex ideas to life in a simple way.”

“Very engaging. Thanks for tapping into “my specific problem” solving mode. It made your session come to life.”

Our Business in Numbers


Years in Operation


Enterprise Clients


Executives Coached in AI / RPA


University & Research Associations


Moonlighting Consultants


Students Trained & Certified


Introduced to Digital 2.0 Technologies


External Pool of Machine Learning Data Scientists

In the Media