US-based Aurigo Software program, recognized for growing capital planning and development administration software program for giant infrastructure tasks, has not too long ago expanded its presence in India, not simply as a backend hub however as a core engine of innovation. The GCC in India now serves as the corporate’s major hub for product growth.
Of its 600 world workers, almost 500 at the moment are based mostly in Bengaluru, making India the undisputed R&D powerhouse for the corporate.
“We’ve all the time had a small R&D centre right here,” Balaji Sreenivasan, founder and CEO of Aurigo, mentioned in an unique interplay with AIM. “Nevertheless, the final 5 to 6 years have seen an intentional shift. All of our engineering is now centred in Bengaluru.”
Sreenivasan, nonetheless, identified that this isn’t a standard GCC. “We’re not a service arm. This can be a product-first staff the place the engineering truly occurs—the code is written right here, the innovation occurs right here.”
Nevertheless, Sreenivasan is fast so as to add that headcount is not the main indicator of development in tech, particularly in an AI-first period. “The way forward for software program firms doesn’t essentially imply larger groups,” he mentioned. “We count on 50% of our code to be AI-generated inside the subsequent 18 months.”
This development is gaining momentum. For instance, Y Combinator-backed startups declare to have generated 90% of their code by AI, whereas tech giants Google & Microsoft attribute roughly 30% of their code output to AI instruments.
That’s the place AI has really formed Aurigo’s product growth lifecycle as properly. Sreenivasan defined that whereas it took 4 to 5 years to realize the appropriate product-market match for a authorities venture, the corporate was capable of construct a prototype for the non-public sector in below 90 days. It’s set to enter manufacturing by September, all with the assistance of instruments like Lovable and Figma AI.
What AI Means for Aurigo’s Workforce
Regardless of being bullish on AI, Sreenivasan has no illusions in regards to the human facet of the equation. “It’s not about changing everybody with AI brokers,” he clarified. “It’s about asking: what do the subsequent 600 workers appear like?” Whereas some handbook duties, like testing, will undoubtedly be automated, the main target is on reskilling.
As the corporate continues to develop at 30-40% year-over-year, its hiring technique is evolving. It’s not about endlessly increasing the staff, however about hiring smarter and sooner. Aurigo is already constructing AI brokers for each inner use and customer-facing options, with plans to deploy roughly 15 AI brokers within the subsequent quarter.
One main AI providing for Aurigo is Lumina GPT—a set of AI instruments constructed with the assistance of OpenAI’s API, Meta’s Llama, and different open-source fashions. It sits on high of Aurigo’s flagship platform, Masterworks, hosted on AWS. Ultimately, Aurigo desires Masterworks to have Lumina GPT natively built-in.
To help this, Aurigo is counting on a mixture of open-source instruments and in-house code. Whereas platforms like Lovable are used for fast prototyping, the manufacturing code for enterprise-grade deployments remains to be largely proprietary.
From Authorities to Information Centres
Aurigo’s merchandise have historically catered to authorities businesses, serving to handle large public infrastructure like highways and bridges. Nevertheless, the market is evolving.
A very good instance of that is Aurigo Interact, which is actually a digital city corridor that helps governments make extra equitable infrastructure choices. It permits residents to interact by way of their telephones or net browsers simply. By fast polls and feedback, folks can specific help or opposition to tasks like flyovers or metro stations.
The platform’s pure language processing (NLP) engine then analyses this suggestions at scale, surfacing insights that information cities and states on the place public funds must be spent to mirror the collective will.
One other of Aurigo’s long-standing purchasers is the state of Utah. Again in 2016, Utah chosen Aurigo after an intensive procurement course of that included evaluating options from Oracle, American Affiliation of State Freeway and Transportation Officers (AASHTO), KPMG, and others. The state was shedding roughly $100 million yearly because of inefficiencies like poor knowledge entry, a scarcity of transparency, and delays in venture oversight.
From planning and prioritisation to development administration and post-completion upkeep, Utah has transitioned from utilizing a single module to embracing all the suite since adopting Aurigo’s platform.
Over the previous six years, the state has reported effectivity beneficial properties of 4–5% yearly, translating to $50–60 million in financial savings, which has contributed to a billion-dollar infrastructure price range. That’s taxpayer cash being preserved and reinvested, with the software program costing lower than 0.5% of the full spend.
“We promote to authorities and enterprise purchasers, so the bar for safety, latency, and reliability is excessive,” Sreenivasan defined. “That’s why we’ve conservatively focused 50% AI-generated code. If we have been constructing shopper apps, it could be 90%. However our clients demand extra.”
The corporate envisions a future the place consumer interfaces themselves are remodeled. As an alternative of constructing dashboards and experiences, customers will simply ask the system questions, and the AI agent will fetch the info and supply a story.
Most of its purchasers are within the US, as India stays considerably sceptical of AI in enterprises, regardless that customers are able to undertake AI.
“We realised that the subsequent 10 years of development may even be about knowledge centres, EV corridors, energy grids, and manufacturing amenities,” Sreenivasan defined. “That meant we needed to construct a complete new set of merchandise for the non-public sector.”
For Sreenivasan, adopting AI is not a strategic alternative—it’s a necessity. “You don’t wish to be utilizing a matchstick when everybody else has a lighter. You don’t wish to carry a knife to a gunfight,” he mentioned.
The publish 50% of Our Code Might be AI-Generated in 18 Months: Aurigo CEO on Increasing India GCC appeared first on Analytics India Journal.
