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Working with us

Festival Celebration

Do what you enjoy

Create the future you want, here at Tardid

Students and Freshers

We offer a variety of startup programs, internships and full-time opportunities designed as per your skill and qualification.

Experienced Professionals

Want top make a difference in AI? So do we. If you have the fire to take challenges in physics driven AI the why waiting...


Hear from our interns

"at Tardid, from the day one I am empowered to work on things that I am passionate about. My ideas were discussed and accepted, furthermore, I was encouraged to work on my idea. First time I am feeling more confident"

Ananya, AI Intern

Integrating the Geometric Twin

A digital twin is a digital representation of a physical twin that is a real-world entity, system, or event. It executes itself as an encapsulated software model or an object that mirrors a distinctive object, process, building, or human, regardless of whether that thing is tangible or non-tangible in the real world.

Preeti Dwitika.png

Accurate capturing of physical things, collaborations, automatic updation in real-time, conflict detection and resolving and finally connecting the physical dynamic and elements of the state. I am happy to overcome this


Preeti, Sr.ML Developer


Physics Driven Artificial Intelligence


Connecting the best of two worlds of Physics and Machine Learning to solve the critical issue of operating, maintaining and repairing, even when you aren't near them physically, thus improving productivity and reducing downtime

"we are at the heart of machine learning system which is reliable and trustworthy, moreover teaching physics to machine is a great task"

Vijeta, Senior Researcher - Computational Dynamics

AI driven dynamic stability and health assessment of ship


At sea a crew may often be a new or temporary team. Officers may have never met before, and there is no time for any team development before starting a voyage.  Despite internationally agreed standards, crew members who are often from different cultural backgrounds, probably has different levels of experience, different levels of education, and have undergone different training. All this affects social conduct and communication. It is therefore important that now we adopt to technology which can provide autonomous decision by combining internal and external parameters.


"We are developing and onboard intelligent decision support system to support the dire needs of various marine operators in meeting the challenges posed while ensuring safety at sea"

Dwithika, Senior ML Developer


Managing the most complex environment


Here’s to the crazy ones. The misfits. The rebels. The troublemakers. The round pegs in the square holes. The ones who see things differently. They’re not fond of rules. And they have no respect for the status quo. You can quote them, disagree with them, glorify or vilify them. About the only thing you can’t do is ignore them. Because they change things. They push the technology forward.


And while some may see them as the crazy ones, we see genius.

"I am really tempted to say that the most challenging part of managing Tardid technology team is..... managing the Tardid technology team. Period"

Ambith, DevOps

AI for pipe structural integrity assessment

One of the most serious issue is pipeline structural integrity for oil and gas, steel industries, defense and energy industries.  Fatigue is a major concern that contributes to unexpected failures in many of today’s plants. A study indicated that the highest incidence of leaks in the refining and chemical industries is due to CUI which causes between 40% to 60% of piping maintenance costs. The failures can be disastrous or at least have an economic impact in terms of downtime and repairs.


"we have developed BANFIS, BANFIS aggregates both neural network and fuzzy logic, it is skilled of handling compound and nonlinear problems. Even if the objectives (environmental and physics phenomena) are not known, BANFIS could reach the finest results quickly"

Vamsi, Senior Researcher - Computational Mechanics

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