The Aveti mission

About Aveti

Dr. Swarbhanu Chatterjee, Founder & CEO

After doing a PhD in Physics and an MS in Computer Science (followed later by an MS in Marketing Analytics), Swarb entered the corporate world, hoping to build things that would simplify processes.

He has always been fascinated by AI and data science as it appeals to his "science instincts".

Swarb feels that whether we like it or not, AI is going to start playing a major role in every business going forward, even the ones that are more traditional, just like computers began to do in the late 90’s. In the next 4-5 years, AI will become as ubiquitous in business the way computers are today.

After having worked in large global enterprises and startups, Swarb has realized that there are many untapped possibilities in AI and data science.

AI can simplify business processes and give people more freedom to be creative.

Just as you are passionate about your core business area, we are passionate about AI and data science.

We live and breathe AI and data science and have experience in a wide variety of AI problems.

We will help you re-invent AI for your business.

Swarb's story

Swarb feels that for a business to not use data science is like a ship's captain trying to navigate without GPS. Yes, he could try to find his way using just the stars, but he could land up in a different continent - like the Vikings did in America!

It was with this vision, that he founded Aveti. Aveti means "to know; to learn" in Sanskrit.

Now, Aveti is building AI solutions for esteemed brands and also helping them make sense of their data.

Who we are
What we do

Data Scientists

Data scientists need to have a strong intuition and understanding for which model may work for a particular industry. They must have deep theoretical knowledge and also robust hands-on experience in machine learning (ML) algorithms using both the R and python programming languages. They need to combine theoretical and practical knowledge with a talent for explaining difficult concepts in simple terms.

Data Engineers

Data engineers must orchestrate the bringing together of data so that the data scientists and data analysts can extract insights from the data. It generally involves working with high-throughput data platforms.

Project Manager

Analyzes the requirements, draws up plans taking the help of his team, coordinates tasks and gives progress updates to the client.

Data Analysts

Data Analysts query the data in python, R, sql or other programming languages of choice, and communicate the results with client precisely and clearly using dashboarding tools like Tableau, PowerBI and Klaviyo. They do not go too deep into the creation of algorithms but focus on gathering actionable insights quickly from the data and presenting them to clients weekly or biweekly.

Machine Learning Engineers

Machine learning engineers understand ML algorithms but are more oriented towards engineering. They help create APIs and deploy the algorithms that the data scientists create.

Why not work with us?

Global experience

We have worked with teams all over the globe - USA, Europe and India .

We deliver solutions that can exactly solve your problem in 3-10 months.

Passion for quality

We will only provide you with the highest quality work.

Favorable terms

Each project is tailored to the particular client's exact needs. Working with us feels like an in-house development but with zero stress.

Transparency

Right from the outset we will be completely transparent with you.

Why not let us solve your problem for you with none of the stress involved?

AI projects are very different from other IT projects.

After years of working in various AI and data science projects, we appreciate the special needs of different businesses.

Privacy & Security

We take data privacy very seriously. Every project begins with an NDA. All information you share with us will always be treated as confidential and private.

As a young company rather than an enterprise, we are doubly determined to assist you in succeeding with AI.

If you hire us, the fee you pay will be for work stages delivered, and not hours spent.

AI projects have a very different development lifecycle.

They require deep expertise with both the science and the technology.

This incentivizes speed and quality of delivery and you can be assured that your business objectives will be met.

Success of our clients

What we care most is whether our clients are able to achieve their goals.

Talk to us

Whether you have a request, a query, or want to work with us, use the form below to get in touch with our team.