Making technology accessible.

SonBarsa began in 2008 as a small web and digital marketing outfit with a simple conviction: most businesses were being sold technology they didn't need, in packages that didn't fit, by vendors who disappeared after the invoice was paid. We wanted to build the opposite kind of company — one that stuck around, learned the client's business as well as our own, and shipped software that actually got used.

The first few years were spent in the trenches of small-business web design, WordPress builds, SEO, and early social media marketing — unglamorous work, but it taught us discipline: ship on time, measure the result, and never hand over a project you wouldn't want to maintain yourself. That discipline is still the backbone of how we operate today.

As clients grew, so did their requests — custom e-commerce platforms instead of templated stores, mobile apps instead of just responsive websites, and dashboards that answered real business questions instead of vanity metrics. Every new request pushed us to hire specialists rather than generalists, and by our fifth year SonBarsa had grown from a two-person shop into dedicated web, mobile, and marketing teams working out of India with clients in the UK and the Middle East.

Our move into artificial intelligence wasn't a rebrand chasing a trend — it grew directly out of client work. A retail client needed to predict demand instead of guessing at inventory. A recruiter needed to screen thousands of resumes without burning out their HR team. A media client needed to recommend the right story to the right reader instead of showing everyone the same homepage. Each of these problems needed statistics, pattern recognition, and eventually deep learning — not another WordPress plugin.

So we invested: hiring machine learning engineers and data scientists, building internal MLOps pipelines, and training the team on everything from classical predictive models to convolutional networks for computer vision. When large language models and generative AI broke into the mainstream, we were already positioned to move fast — fine-tuning models on client data, building retrieval-augmented pipelines grounded in real company knowledge, and shipping production chatbots and AI agents instead of one-off demos.

Today, AI and machine learning sit at the core of almost everything we build — an AI-powered interview platform, an AI SEO intelligence suite, computer vision for manufacturing and retail, and predictive analytics engines for enterprises that need to see around corners, not just look in the rear-view mirror.

We act as partners and stakeholders in your success, not an outside vendor billing by the hour. That means we ask uncomfortable questions before writing a line of code — what does success actually look like in three months, who is going to maintain this after launch, and is AI even the right tool for this problem, or would a simpler system do the job better and cheaper. Being AI specialists doesn't mean every problem needs a model; sometimes the right answer is a well-indexed database and a clean UI.

Every engagement runs through the same discipline we learned in our earliest years: scope clearly, ship in small increments, measure against real metrics, and hand over documentation and training, not just a production URL. We put your needs ahead of the limitations that come with off-the-shelf products and "nearly there" solutions, because a demo that impresses in a meeting and a system that survives a Black Friday traffic spike are two very different things — and we're only interested in building the second one.

Abstract claims about "AI transformation" are easy to make and hard to trust, so we'd rather point at the work itself. Interview.SonBarsa.com automates candidate screening and video-interview scoring so recruiters spend their time on people, not paperwork. SEO.SonBarsa.com gives marketing teams AI-driven rank tracking and content optimization instead of a spreadsheet full of guesses. A newspaper group we partnered with needed reader subscriptions, a paywall, and a recommendation engine that could personalise a front page for millions of different readers — we built all three as one connected platform rather than three disconnected tools bolted together after the fact.

On the commerce side, luxury fashion retailers have trusted us to build and run storefronts that need to hold up under flash-sale traffic while still feeling boutique rather than generic — because a slow checkout page during a big drop costs real revenue, not just a bad review. Whether the deliverable is a from-scratch AI product or a Shopify storefront, the standard we hold ourselves to is the same: would we be comfortable being the ones woken up at 2am if it broke.

None of this is possible without a team that actually believes in it. Four principles show up in how we hire, review work, and make decisions day to day: being results-driven enough to care about the business outcome and not just the ticket being closed; staying client-centric by treating every engagement like a partnership rather than a transaction; pushing innovation by giving engineers time to explore new approaches instead of only maintaining what already exists; and holding the line on excellence, because in AI specifically, a "good enough" model quietly erodes a client's trust in ways that are hard to win back.

That culture is also why so many people who join SonBarsa's engineering, data science, and design teams stay for years rather than treating it as a stepping stone — cross-industry variety keeps the work interesting, and a genuinely distributed team across India, the UK, and the Middle East means career growth doesn't require relocating to a single head-office city.

Shipping fast means nothing if what you ship falls over under real traffic or leaks data it shouldn't. Every engagement — whether it's a Shopify storefront or a production LLM pipeline — goes through code review, staging environments, and load and security testing before it reaches production. For AI systems specifically, that also means guarding against the failure modes unique to machine learning: model drift, hallucinated outputs, and biased predictions, caught through monitoring dashboards and human-in-the-loop review rather than hoping the model behaves.

We're equally serious about data protection and enterprise-grade security and compliance, especially now that so much of our work involves feeding client data into AI systems that need to be trustworthy, auditable, and compliant with regional regulations across India, the UK, and the Middle East. Encryption at rest and in transit, least-privilege access to production systems, and clear data retention policies aren't an afterthought bolted on before a client audit — they're part of how we architect a system from day one.

Our relationship with a client doesn't end at launch. Cloud infrastructure needs to be right-sized as usage grows, models need to be retrained as data and user behavior shift, and dependencies need patching long after the initial invoice is paid. That's why so many of our 274+ clients have stayed with us for years rather than projects — ongoing support, monitoring, and incremental improvement are built into how we scope engagements, not sold separately as an afterthought.

The next chapter for SonBarsa looks a lot like the last fifteen years: following where the technology is genuinely useful, not where the headlines are loudest. That currently means deeper investment in agentic AI systems that can carry out multi-step business processes autonomously, retrieval-augmented pipelines that keep large language models grounded in a client's real, current knowledge instead of stale training data, and low-code and no-code AI automation that lets non-technical teams move fast without waiting on an engineering backlog.

We're also doubling down on industries where AI is still under-deployed relative to its potential — newspaper and digital publishing, entertainment and social media management, and mobile gaming — building the subscription systems, recommendation engines, and engagement tooling those industries will need as reader and viewer attention keeps fragmenting across more platforms.

None of that changes the founding conviction that got SonBarsa started in a small office in 2008: technology is only worth building if it makes someone else's business measurably better. Fifteen years, 421+ projects, and one very large shift from web agency to AI company later, that's still the only metric that actually matters to us.

Economics helps us understand markets, businesses, human behaviour, incentives, and decision-making. During his academic journey and PhD research, Lali developed strong analytical and research skills. He learned how to interpret data, study complex problems, and approach challenges in a structured and systematic way.

But his interests were not limited to the academic world.

As the internet and technology ecosystem evolved rapidly, Lali became deeply interested in digital transformation, online platforms, technology-driven businesses, and changing consumer behaviour.

This allowed him to move beyond the traditional role of an economist. Along with understanding economics and data, he developed a strong understanding of technology products, digital platforms, and large-scale internet ecosystems.

An important part of Lali's professional journey has been his experience with global technology companies and platforms, including Alibaba Group and ByteDance.

Working in environments like these provides much more than just technical exposure. It requires an understanding of users, businesses, digital communities, data, consumer behaviour, and rapidly changing markets.

Alibaba's ecosystem gave him valuable exposure to areas such as e-commerce, digital business, online marketplaces, and large-scale technology infrastructure.

Similarly, his experience with ByteDance helped deepen his understanding of modern internet platforms and technology-driven content ecosystems. Companies like ByteDance have transformed the way people consume content through recommendation systems, algorithms, and large-scale digital engagement.

Being part of such ecosystems provides a unique understanding of the relationship between technology, users, content, and digital behaviour.

Lali's experience also includes platforms such as Helo and Orkut, which adds another important dimension to his journey.

Social networking platforms have transformed the internet from simply being a place to access information into a powerful space where people build communities, have conversations, share ideas, and create digital identities.

From the early era of social networking with platforms like Orkut to modern social platforms like Helo, Lali has experienced the evolution of digital communities and user engagement.

For him, technology is not just about software, applications, or infrastructure.

Technology is ultimately a tool for solving real problems for people and businesses.

This philosophy connects his understanding of economics, technology, and human behaviour.

Perhaps the strongest aspect of Lali's journey is his ability to work at the intersection of economics, technology, data, and human behaviour.

Economics gives him a framework for understanding markets and incentives.

Technology helps him understand scalable solutions and digital products.

And his experience with social platforms helps him understand how users and communities behave.

This combination is extremely valuable in today's digital world.

Successful technology businesses cannot focus only on building great technology. They also need to understand their users, market dynamics, data, business models, and changing human behaviour.

Lali brings this multidisciplinary approach into his work.

As the co-founder of SonBarsa, Lali's vision is to connect technology with practical business solutions and meaningful innovation.

His academic foundation in economics, combined with his experience in global technology companies and digital platforms, gives him a broad perspective on how technology can create real-world impact.

He believes that technology creates its greatest value when innovation is connected with real problems.

Today, technologies such as artificial intelligence, machine learning, cloud computing, data-driven platforms, and digital products are creating enormous opportunities. The real challenge is understanding how these technologies can be transformed into useful and practical solutions for businesses and people.

This is an important part of the larger vision behind SonBarsa.

Lali's PhD background brings a strong research-oriented mindset to his work.

Research is not just about reading existing information. It is about understanding problems deeply, analysing evidence and data, asking the right questions, and exploring new possibilities.

The same mindset is extremely valuable in entrepreneurship.

Entrepreneurs have to make decisions in uncertain situations, understand changing markets, identify new opportunities, and continuously adapt to new challenges.

Lali's combination of academic research and global technology experience has strengthened this entrepreneurial approach.

He does not look at problems from just one perspective. Instead, he tries to understand them through multiple lenses — including economics, technology, data, business, and user behaviour.

The world of technology is changing incredibly fast.

From artificial intelligence and machine learning to cloud computing, social platforms, and data-driven business models, the technology ecosystem continues to evolve.

In such an environment, Lali's diverse experience gives him a future-oriented perspective.

His focus is not only on today's technology but also on understanding how technology can transform businesses and society in the future.

His experience across global technology environments such as Alibaba Group and ByteDance, his understanding of social platforms like Helo and Orkut, and his academic foundation in economics together create a unique perspective.

It allows him to see technology not simply as a technical subject, but as a powerful force that can influence businesses, markets, people, and society.

It is difficult to define Lali's journey in just one line.

He is an economist, a researcher, a technology professional, and an entrepreneur.

His real strength lies in connecting these different worlds.

Economics gave him an analytical foundation.

Research gave him the ability to study complex problems deeply.

Technology gave him an understanding of innovation and scalability.

And global digital platforms gave him valuable insights into users, communities, and human behaviour.

As the co-founder of SonBarsa, Lali is bringing all of these experiences together to build a larger vision — creating a technology ecosystem where innovation, business understanding, and real-world impact work together.

His journey is a great example of what leadership looks like in the modern digital era.

Today's technology leaders do not necessarily need to be experts in only one field. The ability to connect economics, technology, data, business, and human behaviour can be one of the most important foundations for solving complex challenges.

Lali's journey — from earning a PhD in Economics to gaining experience in global technology companies, social platforms, and entrepreneurship — is a story of multidisciplinary thinking.

And through SonBarsa, he is working towards turning technology into meaningful innovation and practical solutions that can create real-world impact.