How Shubham Garg Built CodeVyasa Into a 600 Person, $10-15 M ARR Engineering Partner
Inside the rise of CodeVyasa, the bootstrapped engineering and AI partner founded by Shubham Garg, now serving 80 plus global clients across fintech, edtech and enterprise tech.
Shubham Garg did not set out to build a services company. He set out to fix a problem he had seen up close at Crownit, Haptik and Moglix – product teams drowning in infra debt, weak observability and scattered data. That instinct turned into CodeVyasa, a bootstrapped, 10 to 15 million dollar ARR engineering and AI services company with 450 to 650 employees and 80 plus clients across the US, Australia and India.
Check out the video of the conversation here or read on for insights.
CodeVyasa started with this product-first lens. Instead of selling hours, Shubham sold outcomes: stabilise infra, improve observability, unify data, reduce cloud waste and accelerate engineering velocity. The approach landed early enterprise clients like PolicyBazaar, UpGrad, Sunstone and later Pine Labs, Yatra and Uber.
One story captures the impact. UpGrad’s AWS bill was 5 million dollars annually. Shubham’s team rebuilt pipelines, cleaned infra, and reorganised the cloud architecture.
We brought it down by more than 40 percent. And we only charged a one-time fee.
That project put CodeVyasa on the map. It also showed Shubham the path forward: the market did not need another dev shop. It needed a partner that owned outcomes across engineering, data, QA and DevOps.
The next shift came with AI. Instead of treating AI as an add-on, Shubham rebuilt delivery around human plus AI pods. Co-pilots, code generation and automated testing increased throughput per engineer, improving margins without cutting headcount.
A team that delivered ten story points earlier can now deliver twelve. AI improves revenue per headcount without reducing customer pricing.
A second line of business emerged naturally. Large enterprises wanted AI, but their data was fragmented and unusable. CodeVyasa stepped in to build data pipelines, identity stitching, vector stores and LLMOps layers.
Everyone wants magical AI outcomes, but none of it works without plumbing. That is where the real value is.
Today, AI linked projects contribute 20 to 25 percent of CodeVyasa’s revenue and are growing fast.
The most provocative idea in the episode is Shubham’s view on SaaS. With AI reducing build costs and improving internal tooling, many enterprises are reconsidering large SaaS contracts.
The SaaS advantage is shrinking. The real power moves to implementation and owning your own systems.
In one case, his team built a custom procure to pay system for a major oil and gas company that now wants to replace its SAP modules with CodeVyasa’s implementation.
At the enterprise level, CodeVyasa competes with PwC, Infosys and large integrators. Shubham’s strategy is simple.
If PwC sends a deck, we show up with an MVP. That is how we win.
Scaling the company brought its own lessons. Shubham describes the jump from 1 to 5 million ARR as hustle, and the jump from 5 to 15 million as management, systems and repeatability.
At 1 to 5 million you are mastering yourself. After 5 million, you are mastering your team.
The episode closes with advice that is simple but deeply earned.
You cannot overstate the value of hard work. With all the resources available today, it is how deeply you commit.
A sharp, honest story of a founder who built a services company like a product company and created one of India’s most interesting engineering partners in the process.
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