Lokesh
Anand

Lokesh Anand runs a company that most people outside the enterprise data world have never heard of, and that is more or less the point. Sigmoid, the firm he co-founded in 2013 and still leads as CEO, does the work that sits underneath the AI headlines: the pipelines, the data engineering, the plumbing that decides whether a Fortune 500 company's analytics ambitions turn into anything real. Today that work is carried out by roughly 1,300 people spread across India, the United States, the United Kingdom and Europe, and it is backed by Sequoia Capital India.

Anand's framing of the business is consistent to the point of stubbornness. He does not talk first about models or dashboards. He talks about engineering. "Our focus is very heavily on the engineering data products," he has said. "So, bringing that engineering component in analytics has helped us differentiate - and not only differentiate but deliver true value to our customers." It is a deceptively modest claim, and it is the whole thesis of the company.

What that means in practice is that Sigmoid competes less like a boutique consultancy and more like an engineering shop that happens to work in analytics. Its clients span consumer packaged goods, retail, healthcare, banking and financial services, and advertising technology. The company describes the results it delivers in blunt terms: solutions that have had hundreds of millions of dollars in business impact. For one large FMCG client, that reportedly meant an 11 percent improvement in return on marketing investment. The pitch is not sophistication for its own sake. It is measurable outcomes.

What he is building now

The current chapter of Sigmoid is about operationalizing AI - moving enterprises past pilots and experiments toward systems that actually run in production and return value. Anand's standard here is unforgiving in a useful way: if there is no measurable ROI, there is not much point. That discipline is a direct extension of the engineering mindset. Generative and agentic AI have expanded what the company's clients want to attempt, but Anand's contribution has been to keep the conversation anchored to whether the data foundation can support the ambition.

It is a striking thing for the CEO of a company with more than a thousand employees to describe his firm as being at "Day Zero," but Anand seems to mean it. He measures Sigmoid not by where it has landed but by how much ground he thinks remains. The stated aspiration is large and plainly worded: he wants Sigmoid to be "the primary dynamic solutions player" in data, a name that enterprises reach for by default.

Where the story starts

Sigmoid is, underneath the enterprise vocabulary, a friendship story. Anand met co-founder Mayur Rustagi as a schoolboy at Delhi Public School, R. K. Puram. The third co-founder, Rahul Kumar Singh, joined the pair when all three arrived at the Indian Institute of Technology, Kharagpur. Anand earned a dual degree in electrical engineering there between 2004 and 2009. The three of them turned a set of school-and-college relationships into a founding team, and Anand still talks about the people around him as the real return on the venture.

His route to founding was not a straight line from campus to startup. After graduating he spent a year as a research engineer at Siemens, then moved to Procter & Gamble as an associate manager from 2010 to 2013. Those stops - one deeply technical and industrial, the other in brand and operations at a global consumer giant - map neatly onto the company he would build: rigorous engineering aimed squarely at the messy commercial problems that big consumer and enterprise businesses actually have.

The competitive edge

Sigmoid operates in a market crowded with giants - Accenture, Infosys, Cognizant - firms with tens of thousands of employees and decades of enterprise relationships. Anand's answer to that scale mismatch has been to compete on engineering rather than headcount. Roughly 80 percent of Sigmoid's workforce is based in India, with the remainder distributed across the US, UK and Europe, giving the company a globally distributed delivery model built around technical depth.

The numbers suggest the approach has held up. Sigmoid grew its revenue more than thirtyfold from 2018, achieving 2x growth in a single year around the time of its 2022 Series B, when it raised $12 million led by Sequoia Capital India and brought Sequoia's total backing to roughly $19.3 million. The company has been named among the fastest-growing in North America for three consecutive years. For a founder who insists he is at Day Zero, the track record so far is not a modest one.

The temperament

What comes through across Anand's public comments is a preference for the long game and an unshowy leadership style. He credits the growth of Sigmoid's long-tenured employees as one of the achievements he cares most about, and he consistently returns to the theme of people growing alongside the company. It is the language of an operator who thinks in years rather than quarters, and who seems more comfortable talking about durable engineering and durable teams than about hype cycles.

That is, in the end, the throughline of Lokesh Anand's work. He took an unfashionable conviction - that the boring, foundational layer of data is where the value actually lives - and spent more than a decade proving it out at scale. The company he built is a wager that engineering discipline, applied patiently, can out-deliver flash. So far, the Fortune 500 keeps signing up to find out.