By The TEP Desk
Why Now
India's AI services market is full of companies promising transformation. Most sell consulting, implementation, and long project timelines. The real gap is much simpler. Businesses want AI systems that actually work inside their operations without spending months in planning meetings.
That is the opportunity 360 Labs is chasing.
Founded in late 2025 and incorporated as Lightyear 360 Labs Private Limited in December that year, the company describes itself as an AI-native tech consultancy, software studio, and AI engineering lab. According to the company, it has built or is actively developing 41 products across government, defence, healthcare, logistics, manufacturing, and enterprise software.
The timing is hard to ignore.
India is investing heavily in AI infrastructure. Enterprises are actively exploring automation. Government departments are experimenting with AI adoption. Demand is growing faster than the supply of teams that can actually build and deploy these systems.
360 Labs believes a small team moving fast can compete with much larger firms.
The Market Gap
For years, the Indian IT industry ran on the same formula. Hire large teams, run long projects, and bill by the hour.
That model worked when software was difficult to build.
AI changes the equation.
Large language models can generate working prototypes in days. Agentic systems can automate workflows that previously required entire teams. Businesses no longer want six months of discovery before seeing a product.
360 Labs leans into that shift.
On its website, the company says it can deliver prototypes within 24 to 48 hours and production-ready systems within two to eight weeks.
The target customer is not necessarily a Fortune 500 company. It is the founder, operator, or enterprise team that knows AI matters but lacks the technical leadership to build it internally.
Instead of acting like a traditional vendor, 360 Labs positions itself as a technical partner. That distinction sits at the center of its pitch.
How It Started
360 Labs was founded by Prithvi Raj Agrawal and Saurabh Kumar.
Agrawal, a New Delhi-based entrepreneur and University of Toronto alumnus, has publicly stated that he built more than 50 AI products before formally launching the company.
The startup's first major public appearance came at the India AI Impact Summit in February 2026 at Bharat Mandapam, where it showcased SLM360, an on-device natural language understanding engine.
The launch attracted attention because it focused on localized AI systems that can operate efficiently without depending entirely on cloud infrastructure.
By that point, the company had already publicly referenced projects involving CDAC, the Indian Meteorological Department, DSV, healthcare institutions, manufacturing businesses, and real estate companies.
For a startup less than a year old, it was an unusually broad portfolio.
The Business Model
360 Labs makes money through project-based work.
According to pricing published on its website, AI automation projects start at around ₹1 lakh. Larger software and enterprise AI deployments can reach significantly higher budgets. The company also offers ongoing retainers for support and product development.
But services are only one part of the story.
The more interesting piece is the AI Lab.
Here, 360 Labs is building products such as Med360, a healthcare-focused AI model designed for Indian medical use cases, SLM360, an on-device language engine, and Mem360, a memory layer for AI applications.
Most AI agencies stop at client work.
360 Labs appears to be taking a different route. The company is using client revenue to fund research, infrastructure, and proprietary products.
That matters because services businesses scale differently from product businesses. Client work generates cash flow. Proprietary products create long-term leverage.
The company seems to be trying to build both.
A third area of focus is defence and government technology.
Products such as VAJRA, KAVACH, and SAGAR have been publicly showcased as systems designed for intelligence, surveillance, operational awareness, and defence-related use cases.
Whether these products become large deployments remains to be seen, but they signal where the company wants to play.
Customer Acquisition
Unlike many enterprise software companies, 360 Labs appears to rely heavily on founder-led content and inbound demand.
The company's social media channels regularly showcase product launches, experiments, deployments, and research projects.
Its website follows the same philosophy.
There are no complicated sales funnels or endless forms. Prospective customers are encouraged to speak directly with the people building the product.
The portfolio itself acts as a sales engine.
Government projects create credibility with public institutions. Enterprise projects create credibility with commercial customers. Every successful deployment becomes proof for the next conversation.
As of mid-2026, the company was also actively hiring, suggesting it is moving beyond its early founder-led stage.
Risks And Challenges
Speed is one of 360 Labs' biggest strengths.
It is also one of the biggest risks.
Building dozens of products across healthcare, logistics, defence, manufacturing, and enterprise software requires strong execution. Maintaining those products is often harder than shipping them.
The defence sector introduces another challenge.
Government procurement cycles move slowly. Security reviews, certifications, and approvals can take years. Young startups often struggle to navigate those systems even when the technology works.
There is also a broader question.
According to the company, it has built or is developing 41 products in under seven months. That level of output is impressive.
But eventually the market asks a different question. which of those products become enduring businesses?
The answer will determine whether 360 Labs evolves into a product company or remains a highly capable AI studio.
Competition is increasing as well. Large IT firms, global consultancies, and venture-backed startups are all building AI practices. The market is moving quickly.
The TEP Take
Most AI companies talk about what they are building.360 Labs has already shipped a lot of software.
What makes the company interesting is not the number itself. It is the strategy behind it.
The bet is simple. use client work to fund research. use research to build proprietary products. use those products to win more clients.
Repeat.
If that cycle works, 360 Labs could become something more valuable than a traditional services company.
The defence and government vertical is particularly worth watching. If products like VAJRA and KAVACH move from prototypes into large-scale deployments, the company enters an entirely different category.
For now, 360 Labs represents one of the more interesting experiments emerging from India's AI ecosystem.
Not because it talks about AI. because it is actively building with it.
About this article: This Business Decode was researched and written by The TEP Desk using publicly available information from 360 Labs' official website, company registration databases, public social media posts, and research publications. Product capabilities, deployment figures, customer references, and performance claims have been attributed to the company where applicable.
Disclaimer: This article is for informational purposes only and does not constitute investment, financial, or business advice. The Entrepreneur Post does not endorse any company covered in its Business Decode series.