Chennai has emerged as a key hub for Artificial Intelligence (AI) innovation in India. The city is home to numerous startups and established companies that leverage advanced AI technologies to offer innovative solutions across diverse industries. 

These companies are making strides in automation, predictive analytics, deep learning, and natural language processing (NLP). With an emphasis on real-world applications, these AI firms in Chennai are redefining how businesses operate in the healthcare, finance, industrial IoT, and retail sectors. 

In this article, I will list the top 10 AI companies in Chennai, highlighting their technological capabilities, industry focus, salaries, and key solutions.

The 10 Best AI Companies in Chennai

Now, we will be learning a lot about the 10 companies specifically chosen for this article after thorough research. These companies have been chosen for their exceptional contributions to the AI landscape in Chennai, showcasing innovative solutions that significantly impact industries such as retail, healthcare, and finance. 

Their expertise in advanced analytics, machine learning, and AI-driven technologies has positioned them as leaders in the AI industry.

1. MadStreetDen

Specializing in AI-driven visual recognition, MadStreetDen leverages its proprietary technology to enhance retail experiences through personalized recommendations and improved inventory management. The company is recognized for its innovative solutions in the fashion and retail sectors.

• Established: 2013
• Headquarters: Chennai, India
• Company’s AI Projects: Vue.ai for retail automation; AI-powered visual recognition tools.
• Industry Specialization: Retail, eCommerce, Fashion
• AI Tools and Technologies Used: Python, Computer Vision, Deep Learning, Neural Networks
• Customer Base: Retailers, eCommerce platforms, and fashion brands globally.
• Global Presence: USA, UK, Japan +5 other countries.
• Employee Strength: 200+ AI specialists.
• Working Modes: Hybrid and remote options.
• AI Engineer Salary: ₹8-17.5 LPA (Approx)
• Company Rating: 3.9/5
• Career Page: MadStreetDen Careers

2. Flutura Decision Sciences

Flutura excels in providing AI solutions for industrial IoT, focusing on data-driven insights to optimize operations and improve decision-making processes. Its platforms cater primarily to sectors like energy, manufacturing, and healthcare, aiming to transform traditional business models.

• Established: 2012
• Headquarters: Bengaluru, India
• Company’s AI Projects: Cerebra for industrial IoT; Predictive maintenance solutions for manufacturing.
• Industry Specialization: Energy, Manufacturing, Industrial IoT
• AI Tools and Technologies Used: Machine Learning, AI-powered IoT Analytics
• Customer Base: Large industrial companies in energy and manufacturing.
• Global Presence: USA, Singapore, Netherlands +3 other countries.
• Employee Strength: 110+
• Working Modes: On-site and remote work.
• AI Engineer Salary: ₹6.5-18 LPA (Approx)
• Company Rating: 4.4/5
• Career Page: Flutura Careers

3. Zasti AI

A cutting-edge AI startup, Zasti focuses on creating intelligent solutions for customer engagement and operational efficiency. The company utilizes machine learning and natural language processing to deliver smart solutions tailored to client needs in various industries.

• Established: 2016
• Headquarters: Chennai, India
• Company’s AI Projects: AI solutions for climate risk assessment; Predictive analytics for environmental compliance.
• Industry Specialization: Sustainability, Environment, Risk Management
• AI Tools and Technologies Used: Natural Language Processing, Predictive Analytics
• Customer Base: Environmental agencies, regulatory bodies, industrial clients.
• Global Presence: USA, Australia, Germany +4 other countries.
• Employee Strength: 80+
• Working Modes: Remote and hybrid models.
• AI Engineer Salary: ₹5-9 LPA (Approx)
• Company Rating: 5/5
• Career Page: Zasti Careers

4. Indium Software

With a strong emphasis on AI and machine learning, Indium Software delivers high-quality services in software testing and development. The company is committed to helping clients integrate AI technologies to enhance their products and streamline processes.

• Established: 1999
• Headquarters: Chennai, India
• Company’s AI Projects: AI-driven software testing; Custom AI models for client analytics.
• Industry Specialization: IT Services, Software Testing, Digital Transformation
• AI Tools and Technologies Used: Machine Learning, AI-based automation frameworks.
• Customer Base: Banking, retail, and healthcare sectors.
• Global Presence: USA, UK, Singapore +7 other countries.
• Employee Strength: 2000+
• Working Modes: On-site, remote, and hybrid models.
• AI Engineer Salary: ₹6-10 LPA (Approx)
• Company Rating: 4.1/5
• Career Page: Indium Software Careers

5. Zoho Corporation

A well-known SaaS giant, Zoho Corporation uses AI to drive innovation across its suite of applications, enhancing customer experiences and operational efficiency. Its commitment to privacy and security sets it apart in the competitive SaaS market.

• Established: 1996
• Headquarters: Chennai, India
• Company’s AI Projects: AI-driven CRM, analytics, and automation across their SaaS suite.
• Industry Specialization: SaaS, Business Software, Customer Relationship Management
• AI Tools and Technologies Used: NLP, Deep Learning, AI-powered chatbots, Machine Learning (ML) with TensorFlow.
• Customer Base: Small to medium businesses, large enterprises.
• Global Presence: USA, Japan, Germany +20 other countries.
• Employee Strength: 12,000+
• Working Modes: Hybrid and on-site.
• AI Engineer Salary: ₹7-12 LPA (Approx)
• Company Rating: 4.4/5 
• Career Page: Zoho Careers

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6. Tiger Analytics

Renowned for its advanced analytics capabilities, Tiger Analytics combines AI and data science to provide actionable insights to clients in various industries, including retail and finance. The company is recognized for its ability to transform data into strategic advantages.

• Established: 2011
• Headquarters: Chennai, India
• Company’s AI Projects: AI-driven predictive analytics; Customer insights for retail and CPG.
• Industry Specialization: Retail, CPG, Financial Services
• AI Tools and Technologies Used: Machine Learning, Predictive Analytics, Data Science Platforms
• Customer Base: Fortune 500 companies in retail, finance, and healthcare.
• Global Presence: USA, UK, Canada +5 other countries.
• Employee Strength: 3000+
• Working Modes: Remote, hybrid, and on-site options.
• AI Engineer Salary: ₹8-14 LPA (Approx)
• Company Rating: 3.8/5
• Career Page: Tiger Analytics Careers

7. Tata Consultancy Services (TCS)

As one of the world’s largest IT services companies, TCS integrates AI into its comprehensive service offerings to drive digital transformation across sectors. Their AI initiatives focus on cognitive automation and enhancing client outcomes through innovative technologies.

• Established: 1968
• Headquarters: Mumbai, India
• Company’s AI Projects: AI-powered supply chain optimization; AI-based customer service automation.
• Industry Specialization: IT Services, Banking, Manufacturing
• AI Tools and Technologies Used: AI frameworks, NLP, Computer Vision
• Customer Base: Global enterprises across multiple industries.
• Global Presence: USA, UK, Australia +46 other countries.
• Employee Strength: 600,000+
• Working Modes: Hybrid and on-site.
• AI Engineer Salary: ₹7-13 LPA (Approx)
• Company Rating: 3.7/5
• Career Page: TCS Careers

8. Cognizant AI Labs

A key player in the AI landscape, Cognizant AI Labs focuses on developing AI-driven solutions that empower businesses to enhance productivity and operational efficiency. Their expertise spans various industries, including healthcare and financial services.

• Established: 1994
• Headquarters: Teaneck, New Jersey, USA
• Company’s AI Projects: AI-driven healthcare solutions; Financial fraud detection using machine learning.
• Industry Specialization: Healthcare, BFSI, Retail
• AI Tools and Technologies Used: Machine Learning, Computer Vision, Deep Learning Platforms
• Customer Base: Major healthcare providers, banks, and retailers.
• Global Presence: USA, UK, Germany +15 other countries.
• Employee Strength: 300,000+
• Working Modes: Hybrid and on-site.
• AI Engineer Salary: ₹8-15 LPA (Approx)
• Company Rating: 5/5
• Career Page: Cognizant Careers

9. LatentView Analytics

Specializing in data analytics and AI, LatentView Analytics delivers insights that help organizations make informed decisions. The company is known for its strong focus on customer analytics, helping businesses to understand and predict customer behavior.

• Established: 2006
• Headquarters: Chennai, India
• Company’s AI Projects: AI-based customer analytics; Predictive models for e-commerce and financial services.
• Industry Specialization: E-commerce, Financial Services, Consumer Goods
• AI Tools and Technologies Used: Machine Learning, Predictive Analytics, NLP
• Customer Base: Global Fortune 500 companies, including e-commerce giants and financial firms.
• Global Presence: USA, UK, Singapore +3 other countries.
• Employee Strength: 1000+
• Working Modes: Remote, hybrid, and on-site.
• AI Engineer Salary: ₹7-12 LPA (Approx)
• Company Rating: 4.0/5
• Career Page: LatentView Careers

10. Saama Technologies

Saama is a leader in AI solutions for the life sciences sector, dedicated to accelerating drug development through innovative analytics. Their AI-driven platforms enable companies to streamline clinical trials and enhance decision-making processes in healthcare.

• Established: 1997
• Headquarters: Campbell, California, USA
• Company’s AI Projects: AI-driven drug discovery; Clinical analytics for pharmaceutical companies.
• Industry Specialization: Healthcare, Life Sciences, Pharmaceuticals
• AI Tools and Technologies Used: NLP, Deep Learning, AI-based clinical data analytics
• Customer Base: Pharmaceutical companies and healthcare providers.
• Global Presence: USA, UK, Switzerland +4 other countries.
• Employee Strength: 1500+
• Working Modes: Hybrid and remote models.
• AI Engineer Salary: ₹9-14 LPA (Approx)
• Company Rating: 3.7/5
• Career Page: Saama Careers

Final Words

Chennai’s vibrant AI ecosystem is a testament to its growth as a hub for digital transformation and innovation. Companies like Zoho, Tiger Analytics, and TCS are at the forefront of using AI to deliver solutions across industries, from retail to healthcare. 

For AI professionals, these companies provide a wealth of opportunities with competitive starting salaries and the chance to work on groundbreaking projects. I have tried to be inclusive of startups as well as great corporations in this article.

I hope this article has provided you with a clearer understanding of the AI landscape in Chennai, do let us know in the comments section if you have any doubts.

FAQs

1. What are the top AI companies in Chennai?

Some of the top AI companies in Chennai include Zoho Corporation, MadStreetDen, Zasta AI, Qure.ai, and TigerAnalytics. These companies specialize in various AI applications, including healthcare, automation, and data analytics.

2. How can I apply for jobs at these companies?

You can apply for jobs at AI companies in Chennai by visiting their official websites and career pages. Additionally, platforms like LinkedIn, Naukri, and Indeed frequently list job openings. Tailor your resume and cover letter to align with the company’s focus areas.

3. What is the average salary for an AI Engineer in Chennai?

The average salary for an AI Engineer in Chennai ranges from ₹6 to ₹15 LPA depending on experience, skills, and the company’s profile. Senior positions may offer higher compensation.

4. How do I choose the right AI company in Chennai?

To choose the right AI company in Chennai, consider factors such as the company’s industry focus, project portfolio, work culture, growth opportunities, and employee reviews. Assessing these factors will help you find a company that aligns with your career goals.

5. Are remote work opportunities available in AI companies in Chennai?

Yes, many AI companies in Chennai offer remote work opportunities, especially since the COVID-19 pandemic. Check individual company policies on remote work while applying for jobs.