Lightspeed India aims to be the first institutional capital into ambitious founders building for India, Southeast Asia and, increasingly, the world. It is deliberately selective — 'we never want to be on the lists of funds that do the most number of deals' — and conviction-led: if excited about a company, it invests; if not, it passes. Its sharpest current thesis is 'AI will eat services' — backing AI-led services companies (strong tech product with humans in the loop) attacking the $2Tn+ outsourced-work and $10Tn+ total services TAM that classic SaaS never touched.
A clear, current and growing problem with a large surface area, and a founder with a special, hard-won angle on it. Lightspeed prizes 'why behind the behavior' user research over surface app data.
“a clear, current and growing problem and large surface area, namely SaaS sprawl of 300 to 1000 apps per enterprise” — Why we invested in Zluri
“I certainly look to founders to understand their special angle on their market and users.” — Dev Khare
“Good user research answers the 'why' behind user behavior as opposed to all the app data you collect which is more about the 'what' and maybe 'how.'” — Dev Khare
“As the usage of AI spreads from technology companies to the broader economy, we think this is a problem that every organization will need to solve.” — Dev Khare
A product that is deceptively simple on the surface but technically deep underneath, fast to onboard, and built on a strong, compounding technology platform.
“The beauty of Supabase is that, on the surface it is an intuitive, easy to use, feature-rich BaaS, but under the hood, it is good old dependable Postgres.” — Our investment in Supabase
“Thena's product is built as a simple slack integration that customers can get on-boarded to in minutes.” — Hemant Mohapatra
“an architecture that was purpose-built as a platform to integrate and collect data while supporting multiple use-cases” — Dev Khare
“Building a tech platform that compounds your advantage is essential.” — Dev Khare
Large, evergreen TAMs — and, for AI companies, the expanded 'do the work' TAM that dwarfs classic software spend. Build for massive TAMs but start with a specific use-case.
“a large addressable market covering all SaaS applications deployed at any large enterprise globally, annual spend of $300B in cloud/SaaS” — Why we invested in Zluri
“AI is rapidly expanding the TAM for software from productivity enhancement to the work itself, opening up a TAM that's over $10Tn.” — Dev Khare
“Nearly $300Bn is spent on SaaS while $2Tn+ is spent on outsourced digital work” — Dev Khare
“Customer support and engagement is one of the oldest and largest TAM in SaaS that is ripe for automation-led disruption.” — Hemant Mohapatra
Evidence of real pull — high-quality marquee customers, strong NPS / qualitative love from users, and on-plan execution. For AI-services, fast scaling to large enterprise spends in months.
“the results kept coming in, on plan, which to say the least, is unusual in the venture world” — Why we invested in Zluri
“Thena began commercializing earlier in 2023 and saw some tremendous traction and very positive feedback from high quality customers such as Incident.io, Mixpanel, Branch, Sprig, Guru, BoostUp and 50+ more!” — Hemant Mohapatra
“Supabase's NPS was touching north of 9+!” — Hemant Mohapatra
“Scaled to multiple marquee customers with large enterprise spends in barely a few months.” — Dev Khare
Often the thesis is 'rooted in the team' — founders who live and breathe the problem, have complementary build/market/sell skills, prior history working together, and proven execution velocity. Fearlessness and speed of iteration count.
“Our investment thesis in Portkey is rooted in the team.” — Our investment in Portkey.ai
“This is a team that knows how to build, market and sell.” — Dev Khare
“We were blown away by both his execution velocity and scale of ambition.” — Dev Khare
“We've seen Rohit in action over the past decade and really admire his product thinking and fast execution capabilities, combined with commercial instincts.” — Dev Khare
Models where AI does the work (services-as-software), priced on outcomes; making something 10x cheaper to unlock new demand beyond existing spend, with strong feedback loops that compound.
“Today, software is a tool to enhance productivity, but with AI models, software will do the work.” — AI Will Eat Services
“When you make something 10x cheaper, you go beyond existing spend and open up a much larger market.” — Dev Khare
“Quality and speed are often the real USPs that AI enables.” — Dev Khare
“investors actually want to do more diligences once they see what's possible” — Dev Khare
A clear-eyed read of a broad competitive set (incumbents, outsourcers, agencies, AI startups) and a defensibility plan — a data moat or workflows deeply embedded in customers' internal processes.
“Try to create a data moat, or build workflows that are deeply ingrained in internal processes.” — AI Will Eat Services
“The competitive set is even larger – internal employees, outsourcing giants, agencies, and AI startups.” — Dev Khare
“While there are tens of research agents...they are focussed on search and synthesis. The sector expertise, hypothesis creation and information collection, make Bridgetown's work much more relevant.” — Dev Khare
“If you are getting a stream of reliable data points you can iterate and improve your model rapidly creating a sustainable edge.” — Dev Khare
A genuine tailwind — a new building block in computing, a behavioral shift, or AI moving from productivity tool to doing the work. India-specific timing (UPI/Aadhaar stack, founders going global) also counts.
“The tailwind is strong here — in the vast landscape of computing, new building blocks are a rare occurrence.” — Our investment in Portkey.ai
“AI led services – a strong technology product with humans in the loop – will dramatically change how services are delivered.” — Ishaan Preet Singh
“There is a 'slackification of work' going on where older systems of records such as Salesforce and Jira are serving as the backends while systems of engagement such as Slack and Teams are becoming primary platforms where work happens.” — Hemant Mohapatra
“The next ten years are India's to lose. Come home and build!” — Hemant Mohapatra
Lightspeed wants to be the first institutional capital and the lead, and to back companies that use its capital and platform (talent, customer intros, branding, growth financing) to go global. A credible plan to deploy capital toward international expansion resonates.
“We here at Lightspeed India have deliberately chosen to solve international expansion for our founders.” — Lightspeed's bet on India going global
“we have done nearly twenty investments of which ~50% have been seed deals and ~85% have been as first institutional capital” — Dev Khare
“We support founders with...executive talent sourcing, customer introductions, branding/narrative building/marketing, strategic partner introductions, angel investor introductions, growth financings, or strategic input.” — Dev Khare
“If we are excited about 10 companies, we will invest in all 10 of those. If we are not excited about any of them, we will not make any investment.” — Rahul Taneja
“I certainly look to founders to understand their special angle on their market and users.”
“Both Ant and Paul are mission-driven, hustling, repeat entrepreneurs with the right ingredients: a keen nose for a developer's needs, outlier product instincts, and strategic long-term orientation.”
“AI led services – a strong technology product with humans in the loop – will dramatically change how services are delivered.”
“If you dial back 15 years when India internet 1.0 started, we saw the emergence of business-to-commerce marketplaces...Now the Indian internet economy is much broader with so many new sectors.”