Mindsprint, a technology firm offering purpose-built AI-led solutions to modernise enterprise operations, generates about 20% of its earnings from AI-driven solutions, according to co-founder and CEO Suresh Sundararajan.

In a conversation with AIM, Sundararajan officially introduced Mindsprint’s portfolio of agentic AI-powered solutions and announced the expansion of its R&D hub in India. He revealed that the company’s AI offerings encompass a range of data analytics services and specialised accelerators.

Mindsprint’s Future Forward Lab oversees a suite of IP-driven AI solutions and accelerators designed to reduce time to market and enable rapid pilots, the company stated. 

The lab offers solutions like Sprint AP, a fully automated, agentic AI-powered accounts payable platform; ProcureSPRINT, a plug-and-play procurement solution with real-time spend visibility; SalesSPRINT, intelligent sales optimisation; TradeSPRINT, a live data-driven trade decisioning system for commodity markets; and Guardian Eye, an agentic AI-powered platform for continuously monitoring external threats and managing security vulnerabilities.

“Within this segment (20%), emerging technologies like generative AI and agentic AI constitute less than 10%,” Sundararajan said, adding that while emerging technologies like generative AI and agentic AI are promising, their adoption is still in the early stages.

CTO Sagar Porayil Vadakkinakathu said that Future Forward Lab is the place where the company’s AI-first ambition comes to life.

“We are not adding AI to legacy systems. Instead, we are engineering AI into the DNA of how businesses run. From autonomous trading to procurement intelligence and finance automation, every solution we build starts with measurable impact in mind,” he said.

In a press release, the company claimed it has embedded AI into everyday workflows “from HR and finance to project delivery”.

Data Strategy and Partnerships

Addressing the foundational role of data in AI success, Vadakkinakathu noted that many enterprises struggle with fragmented and poor-quality data. Mindsprint’s strong data engineering and platform teams focus on building unified data pipelines, ensuring data quality, and maintaining governance frameworks. He stressed that a solid data strategy is a prerequisite for effective AI and agentic AI deployments, enabling enterprises to realise the full potential of their AI investments.

Moreover, the CTO highlighted Mindsprint’s robust ecosystem of technology partnerships, which play a critical role in co-innovation and market expansion. He noted that key collaborators include ServiceNow, where Mindsprint recently launched a capability centre in Chennai, as well as SAP, Planview, and major cloud providers like AWS, Google Cloud Platform, and Microsoft Azure. These partnerships enable joint development of AI-driven solutions, he added.

The Importance of Diverse Talent

Vadakkinakathu highlighted the importance of hiring fresh graduates and nurturing a culture of continuous learning. Mindsprint actively recruits from diverse regions across India, recognising that fresh perspectives and diverse thoughts are essential in the AI era. The company encourages engineers to become “10x developers” by mastering not only programming fundamentals but also AI tools, DevOps, cloud technologies, and agile delivery practices.

“This approach aims to amplify productivity and accelerate software delivery lifecycles,” he said.

The CEO said the company has more than 3,200 employees and has onboarded around 300 to 400 people since the beginning of the year.

The company informed that 95% of its workforce, including non-tech teams, has completed a foundational certificate program in GenAI.

Besides, its proprietary Mindverse platform with more than 10 GenAI tools is powering delivery and development.

Mindsprint, which is headquartered in Singapore, launched its generative AI platform called MindVerse last year.

It also informed that a cross-functional AI Council has been tasked with identifying, prioritising, and scaling high-impact internal use cases for AI adoption.

Business Strategy

Mindsprint recently opened a new 87,000 sq ft facility in Chennai, featuring a next-gen customer experience centre and technology hub designed for innovation at scale.

The next phase of workspace expansion is planned in Bengaluru, purpose-built to accelerate collaboration, experimentation, and co-creation, the company said, adding that it recently opened offices in Sydney, Australia, and New Jersey.

“Anchored in India as our innovation nucleus, we’re expanding our client-facing presence worldwide and nurturing an AI-first culture that empowers teams to co-create the future,” Sundararajan said.

The CEO revealed that 5-6% of its earnings go into research and development, adding that its prime markets are North America and APAC. In contrast, its opportunity markets include the Middle East, Africa, and India.

“The company’s revenue is presently in the three-digit millions of dollars. It aims to double and triple its revenue to $400 to $500 million by 2030, if growth capital arrives,” he shared.

The company, which spun out of Olam Group and was previously called Olam Information Services Private Limited (OISL), presently sees 90% of its revenue from Olam Group companies.

“With Olam, we are operating under a multi-year, long-term service agreement at arm’s length, where they hold us as a supplier or vendor, and we work with them as they are our customers. Our plan is to significantly reduce Olam’s portion, mitigate risks, and gradually grow non-Olam customer revenue to 30 to 35% in the next five years,” Sundararajan shared.

He also informed that the company plans to divest to interested investors, including strategic players and private equity firms, as Olam Group has classified Mindsprint,  along with other assets, as non-strategic.

“We are hungry for growth, lofty and stretchy in our aspirations, demanding in terms of having high talent, and have targets to double or triple our revenues,” he concluded.

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