Chennai is the second-largest software exporter in India, straight after Bengaluru, and also, is the home to many global tech giants, such as Verizon, eBay, PayPal. Why did such big companies decide to open offices in Chennai?! Simply because is the biggest startup incubator in India, and probably the place where most of the local professionals are attracted to. 

Of course, Chennai is far behind Mumbai; New Delhi, and Bengaluru when it comes to profit, but this is because most of the tech and IT businesses start in Chennai, but continue to grow and develop in Bengaluru, Mumbai, and other metropolitan cities.

Chennai is also a place where you can find plenty of SaaS companies - around 600, which engage in the system around 15,000 workers and has a yearly revenue of $1 billion USD, out of which $500 million were from funding only. 

The transformation of Chennai is more surprising since it was for a very long time a manufacturing center, also called by many the Detroit of India. And the effort for the digital transformation of Chennai only was huge, but it was worth it. 

According to data from Venture Intelligence, Chennai has become India’s fourth most active startup ecosystem, ahead of Hyderabad and Pune, and above all the city area is cheaper than other startup and tech hubs from India. But the wages are also lower - according to Glassdoor, the average yearly wage of a developer in Chennai is $7000+ USD, several times lower than Bengaluru for example. 

In case you are interested in working with IT companies based in Chennai, it’s good to know that you can choose out of 4000+ professional teams the one that suits you more, and here on TechBehemoths you can find the best of them

Artificial Intelligence (AI) has emerged as a transformative technology, revolutionizing industries and unlocking new possibilities. It includes a range of services that leverage advanced algorithms and machine-learning techniques to enable machines to simulate human intelligence. These services include natural language processing, AR/VR development, data analysis, and virtual assistants, to name a few. AI is often intertwined with other similar services, such as data science, big data analytics, and sales automation, collectively forming a powerful ecosystem of intelligent solutions.

According to Forbes, 64% of business owners believe AI has the potential to improve customer relationships, indicating a positive outlook on the role of AI in enhancing client interactions

By implementing AI services in their working processes, companies can get a series of benefits, among which are:

• Enhanced efficiency in repetitive tasks
• Improved analytics.
• Enhanced Customer Experiences
• Process optimization

When selecting an AI service provider for a project, it is recommended to consider a series of criteria that would bring you closer to the best-suitable companies you want to work with. Some of the most important are: 

• Expertise and Experience: Look for companies with a proven track record in developing AI solutions relevant to your industry.

• Location: If this is important to your business or project requirements, choose a company that suits your geographical needs, and avoid cultural, and linguistic barriers

• Team size: depending on how urgent you need the project to be delivered, by selecting a company with more resources - you ensure a faster execution

• Hourly rates: even the best matching companies may have an hourly rate that could surpass your budget. To make sure you are on the same financial wave with your potential AI development partners, choose the hourly rate that gets closer to your project.

TechBehemoths, a trusted platform in the tech industry, can assist in selecting the best AI companies for your projects. With a comprehensive directory of AI service providers that includes more than 1200 specialized companies across 50+ countries, TechBehemoths offers unbiased reviews, ratings, and detailed profiles, helping you make informed decisions. The platform features a robust search functionality, allowing you to filter companies based on industry expertise, location, and other project requirements.