10 Indian Tech Startups to Watch in 2026

Indian AI startups raised $1.48 billion in Q1 2026 alone. These ten companies are where that capital is going and why it matters.

India’s startup market has entered a structurally different era from the one that defined the 2015 to 2022 consumer internet cycle. The 2026 cohort is building base layers: compute infrastructure, foundational models, the sovereign AI stack, enterprise intelligence tools, and climate sensing networks for a country that will be the world’s most populous for decades.

The India AI Impact Summit in 2026, attended by Sam Altman, Sundar Pichai, and Dario Amodei, delivered over $200 billion in investment commitments. Two new AI unicorns, Neysa and Sarvam AI, emerged within four months of each other. A vibe-coding platform founded by twin brothers in 2024 became a unicorn in 2026.

The ten companies below reflect the full range of that momentum: well-capitalised unicorns with documented commercial traction, mid-stage companies with institutional investors and verified product growth, and one company that started from a tier-2 Indian city and is now counting Google, Honeywell, and Jindal Steel among its customers.

1. Emergent Labs

Founded in 2024 by twin brothers Mukund Jha (CEO, former co-founder and CTO of Dunzo) and Madhav Jha (CTO), Emergent Labs is headquartered in Bengaluru and San Francisco. In July 2026, the company raised a $130 million Series C, becoming India’s newest unicorn at a valuation surpassing $1 billion. Total funding across five rounds now stands at $230 million. Earlier rounds included a $70 million Series B led by Khosla Ventures and SoftBank Vision Fund 2 in January 2026, which tripled the valuation to $300 million, and a $23 million Series A in September 2025 led by Lightspeed.

Emergent is a vibe-coding platform: it allows anyone to build full-stack, production-ready web and mobile applications using natural language, without writing code. A founder describes what they want, and Emergent’s autonomous AI agents handle design, frontend, backend, database, scaling, payments, and deployment simultaneously. The company targets non-technical entrepreneurs and small businesses rather than professional developers, which separates it from Replit and GitHub Copilot.

By February 2026, Emergent had crossed $100 million in annual recurring revenue, doubling revenue in 30 days. Over 6 million users across 190-plus countries had created more than 7 million applications on the platform. At $50 million ARR within seven months of launch, it is one of the fastest-growing AI startups globally by that measure.

Mukund Jha has described the dual headquarters, San Francisco and Bengaluru, as a deliberate cost and talent strategy: building research and engineering in India created a cost structure that could fund a longer runway and faster iteration than consolidating entirely in the Bay Area would have allowed. The vibe-coding category is attracting well-funded US competitors. Whether Emergent’s position is defensible at scale against better-resourced platforms is the open question.

Founded: 2024 | HQ: Bengaluru and San Francisco | Founders: Mukund Jha, Madhav Jha | Total funding: $230M | Latest round: $130M Series C (July 2026) | Status: Unicorn (2026)

2. Neysa

Founded in Mumbai by Sharad Sanghi, the former CEO of Netmagic, which was sold to NTT for $800 million, Neysa raised $600 million in equity from Blackstone in February 2026, alongside approximately $600 million in debt financing, for a total of $1.2 billion. This is the largest funding round in the India AI startup ecosystem at the time and possibly in Indian startup history. The company was named AI Startup of the Year at the ET AI Awards and Conclave 2025 and was recognized as a primary private-sector partner of the IndiaAI Mission.

Neysa builds sovereign AI cloud infrastructure: GPU clusters, orchestration software, and a platform called Velocis Cloud that allows enterprises and researchers to run AI training and inference workloads without relying on foreign hyperscalers. With India’s Digital Personal Data Protection Act now in full effect, requiring data localization for sensitive categories, Neysa’s in-country infrastructure carries regulatory positioning that AWS, Azure, and Google Cloud cannot fully match for the most sensitive Indian workloads.

The company operates more than 20,000 NVIDIA GPUs across its infrastructure and provisioned GPU clusters for customers in 30 seconds, which it described as the fastest in the Indian market.

The honest tension in Neysa’s story is the relationship between the equity and debt raised and the revenue visibility to service that capital structure. Infrastructure businesses at this scale carry enormous fixed costs. Whether the commercial pipeline fills at the speed the capital structure requires is the question the next 18 months will answer.

Founded: not publicly disclosed | HQ: Mumbai | Founder: Sharad Sanghi | Total funding: $1.2B | Latest round: $600M equity from Blackstone (February 2026) | Status: Unicorn (2026)

3. Sarvam AI

Founded in 2023 in Bengaluru by Vivek Raghavan and Pratyush Kumar, both former researchers at IIT Madras, Sarvam AI raised $234 million in a Series B in June 2026 at a $1.5 billion valuation, with HCLTech leading at $150 million and participation from Lightspeed, Peak XV Partners, and Khosla Ventures. Total funding stands at approximately $288 million. Sarvam AI became India’s newest AI unicorn on June 15, 2026. In April 2025, India’s IT Ministry selected Sarvam AI from 67 companies to build India’s first sovereign foundational large language model under the IndiaAI Mission, allocating 4,096 NVIDIA H100 GPUs through the government compute pool.

The company builds full-stack large language models for India’s 22 official languages. Its Sarvam-105B model uses a Mixture-of-Experts architecture that activates only approximately 10% of parameters per token, making inference dramatically cheaper than a dense model of equivalent parameter count. In a 14-day launch streak in February 2026, Sarvam released Vision OCR scoring 84.3% on the olmOCR-Bench, beating Gemini 3 Pro; Bulbul V3 voice AI covering 35-plus voices across 11 languages; and Sarvam Audio ASR for all 22 Indian languages. Both Sarvam-30B and Sarvam-105B were open-sourced and became the most downloaded Indic-first models on Hugging Face.

Revenue for FY25 was INR 29.1 crore ($3.45 million), representing the first commercial pull from enterprise API integrations. The burn rate is high and the revenue is still small relative to the valuation, which is the honest baseline for a company building foundational infrastructure rather than deploying a commercial product at scale. The government designation as India’s sovereign LLM provider is a moat that is structurally difficult for a private-sector competitor to replicate.

Founded: 2023 | HQ: Bengaluru | Founders: Vivek Raghavan, Pratyush Kumar | Total funding: approximately $288M | Latest round: $234M Series B (June 2026) | Valuation: $1.5B | Status: Unicorn (June 2026)

4. Equal AI

Founded in 2022 in Hyderabad by Keshav Reddy, Equal AI raised $30 million in a Series B in June 2026, co-led by Prosus Ventures and Tomales Bay Capital, bringing total funding to $42 million. Participation came from Valiant VC, Think Investments, and angel investors including Zubin Mittal of the Airtel family office and Sameer Nigam, founder of PhonePe.

The product is India’s first AI call assistant: an Android app that answers phone calls on behalf of the user, gathers information from the caller, and summarizes why someone is calling before the user decides whether to engage. India receives enormous volumes of calls daily, spanning delivery confirmations, financial service outreach, spam, and scams. Equal AI’s assistant handles intake, screening, and summarization so the user can respond deliberately rather than reactively.

Launched in October 2025, Equal AI reached 1 million monthly active users and 350,000 daily active users within months of launch, making it one of India’s fastest-growing consumer AI platforms by daily engagement. The company started as a data-sharing and identity infrastructure company in 2022 and pivoted to the AI call assistant in 2025, which is the version that attracted the Series B.

Founded: 2022 | HQ: Hyderabad | Founder: Keshav Reddy | Total funding: $42M | Latest round: $30M Series B (June 2026) | MAU: 1M+ | DAU: 350,000+

5. Aule Space

Founded by Jay Panchal (former engineer at Pixxel), Nithyaa Giri (formerly of Trify EV), and Hrishit Tambi (who has worked with scientists from the European Space Agency), Aule Space raised $2 million in January 2026, led by pi Ventures, with angel participation from Eash Sundaram (former Intelsat board member) and Arvind Lakshmikumar (CEO of defence imaging firm Tonbo Imaging).

The company builds in-orbit propulsion systems: essentially jetpacks or power banks for satellites. Satellites stop operating when they run out of fuel. A satellite that depletes its propellant cannot maintain its orbit, cannot maneuver to avoid debris, and must be deorbited or left to drift. Aule Space’s technology would allow a docking module to attach to a fuel-depleted satellite, extend its operational life by years, and enable orbit-raising, station-keeping, and deorbit maneuvers that the satellite’s own depleted system can no longer perform. Panchal’s founding statement: if you solve the fuel problem, you can easily double the life of a satellite.

The fresh capital will fund scaling of the engineering team, building ground infrastructure for docking trials, and advancing Aule’s first demonstration satellites planned to launch in 2027. In-orbit servicing is an early-stage but rapidly growing market. The geosynchronous belt holds some of the most valuable communications infrastructure in the world, and each satellite that runs out of fuel before its design life ends represents hundreds of millions of dollars in replacement cost.

Founded: not publicly disclosed | HQ: India | Founders: Jay Panchal, Nithyaa Giri, Hrishit Tambi | Total funding: $2M | Latest round: $2M (January 2026)

6. Gnani AI

Founded in 2016 by Ganesh Gopalan and Ananth Nagaraj, Gnani AI is a Bengaluru-based frontier Voice AI company building proprietary speech and language models for enterprise deployments. In March 2026, the company raised $10 million in a Series B led by Aavishkaar Capital, with participation from existing investor Info Edge Ventures. The funding is being used to expand the company’s voice AI models, R&D capabilities, talent base, and international presence.

Gnani AI’s focus is voice-first enterprise AI rather than a general-purpose chatbot. Its platform combines speech-to-text, text-to-speech, speech-to-speech, language models, voice agents, conversation analytics, agent assist, and voice biometrics. The company’s models are trained on more than 14 million hours of real telephonic audio across 40-plus languages, giving it a data advantage specifically suited to the noisy, multilingual conditions of real-world customer calls. Gnani says its technology now serves more than 200 enterprises and handles more than 30 million voice interactions every day across sectors including banking, government, healthcare, insurance, and telecommunications.

The strategic significance is India’s voice interface problem. Much of the country’s population interacts with businesses primarily through speech rather than typed English, while enterprise call centers operate across dozens of languages, accents, and poor-quality telephone connections. Gnani’s bet is that models trained specifically on those conditions can outperform general-purpose AI systems when the deployment environment is an actual phone call. The company has also been selected under India’s national AI initiative to work on indigenous foundation models, reinforcing its positioning around sovereign AI infrastructure.

The open question is whether specialist voice AI becomes a sufficiently large global category to support the company’s ambitions. Gnani already has meaningful enterprise deployment and has reached profitability, according to 2026 reporting, but it competes against much larger AI platforms that are rapidly adding native voice capabilities. Its advantage is therefore less about being first to voice and more about whether its real-world telephony data, multilingual models, and enterprise integrations create a durable technical moat.

Founded: 2016 | HQ: Bengaluru | Founders: Ganesh Gopalan, Ananth Nagaraj | Latest round: $10M Series B (2026) | Investors: Aavishkaar Capital, Info Edge Ventures | Focus: Frontier Voice AI, enterprise AI agents, speech and language models

7. OrbitShift

Founded in 2022 by Saurabh Mishra (CEO) and Swapnil Saykar, OrbitShift is headquartered in Bengaluru with operations that serve enterprise sales teams globally. The company has raised $8.5 million across three rounds, with the most prominent being a $7 million seed round led by Peak XV Partners and Stellaris Venture Partners in June 2024. A $3 million seed extension led by Stellaris, CRED founder Kunal Shah, and M2P Fintech co-founder Madhusudanan R followed in January 2026.

OrbitShift builds AI systems for enterprise sales cycle management. The platform provides account insights, request-for-proposal response generation, targeted sales content, account planning, and coordinated go-to-market motion for enterprise sales teams. The company claims to cut the time businesses spend on research and sales planning by 40 to 50% and increase sales productivity by 20 to 30%. Integrations span CRM platforms, knowledge repositories, collaboration tools, and marketing platforms.

The enterprise sales AI category is crowded globally, with well-funded US competitors including Gong, Clari, and Outreach serving the same workflow. OrbitShift’s thesis is that Indian and Southeast Asian enterprise buying behavior, the structure of large account relationships in these markets, and the integration requirements of locally deployed CRM and ERP platforms differ enough from US assumptions to create a defensible local position. Peak XV and Stellaris backing a second round in January 2026 is the clearest signal that the founders have demonstrated enough early commercial traction to justify continued institutional confidence.

Founded: 2022 | HQ: Bengaluru | Founders: Saurabh Mishra, Swapnil Saykar | Total funding: $8.5M | Latest round: $3M seed extension (January 2026) | Investors: Peak XV Partners, Stellaris Venture Partners, Kunal Shah

8. SuperAGI

Founded in Bengaluru by Ishaan Bhola (CEO), SuperAGI began as a marketing automation platform before undergoing a fundamental transformation in July 2025 into a comprehensive agentic AI platform. The company builds open-source large action models (LAMs) that enable enterprises to construct customized AI agents for marketing, sales, and customer support automation, with the agents capable of executing complex, multi-step tasks with minimal human intervention.

The open-source positioning is the company’s most strategically significant decision. By releasing its core large action model infrastructure as open source, SuperAGI has built a developer community that contributes to, tests, and extends the platform at a scale a closed-source company of the same size could not achieve. Enterprise customers build on top of the open-source foundation and pay for managed infrastructure, custom integrations, and support. This mirrors the commercial model that MongoDB, Elasticsearch, and HashiCorp used to build large businesses on open-source foundations, and it creates distribution advantages that marketing alone cannot replicate.

Ishaan Bhola was named among India’s Top 100 Rising Founders in 2026 for positioning SuperAGI at the forefront of next-generation intelligent automation. The company’s agentic AI bets are in early enterprise deployment, and the Q2 2026 renewal data from pilot customers is the most important indicator of whether the category is producing real business outcomes or pilot-stage enthusiasm that does not convert to multi-year contracts.

HQ: Bengaluru | Founder: Ishaan Bhola | Focus: Open-source large action models, enterprise agentic AI | Key milestone: Platform pivot to agentic AI (July 2025)

9. Aurassure

Founded in 2022 by Akanksha Priyadarshini, Vamsi Krishna, Raviteja Cherukuri, and Omprakash Patra, Aurassure is headquartered in Bhubaneswar, Odisha, making it the only company on this list that did not start in Bengaluru, Mumbai, or Delhi NCR. In late 2025, the company raised INR 25 crore in a pre-Series A round led by Rainmatter (by Zerodha) and Unicorn India Ventures.

Aurassure blends street-level IoT sensors with satellite data and AI to give cities, enterprises, and governments hyperlocal readings on air quality, heat, rainfall, and flood risk. The company runs a network of more than 2,000 sensor nodes and counts Google, Honeywell, and Jindal Steel among its customers. The satellite data layer catches what ground sensors miss across large geographies. The ground sensors catch what satellite data cannot resolve below a kilometer of spatial resolution. The AI integration turns both streams into real-time operational intelligence rather than historical records.

The India-specific demand driver is structural and long-term. India is home to 39 of the 50 most polluted cities in the world. Extreme heat events are increasing in frequency and severity. Urban flooding is worsening with each monsoon season. The regulatory and enterprise demand for hyperlocal climate intelligence is growing faster than any domestic provider can currently serve.

Aurassure’s Bhubaneswar origin is both an operating cost advantage and a signal that meaningful deep technology is being built outside India’s three largest startup cities, which matters for the ecosystem’s long-term health. Capital from the pre-Series A funds global expansion across the Global South, including a subsidiary in Brazil.

Founded: 2022 | HQ: Bhubaneswar, Odisha | Founders: Akanksha Priyadarshini, Vamsi Krishna, Raviteja Cherukuri, Omprakash Patra | Total funding: INR 25 crore pre-Series A | Customers: Google, Honeywell, Jindal Steel | Network: 2,000+ sensor nodes

10. Kore.ai

Founded in Bengaluru and Orlando by Raj Koneru, Kore.ai has raised $620.9 million in total funding, the highest among pure-AI Indian startups, including a $150 million round led by FTV Capital with NVIDIA participation. The company operates as a unicorn with a valuation between $1.6 billion and $2.4 billion.

Kore.ai provides a generative AI deployment platform for enterprises, covering conversational AI, AI agents, and self-service automation. The platform allows enterprises to build, deploy, and manage AI virtual assistants and agents across customer service, employee support, and business process automation use cases. Integrations span all major CRM, ITSM, and communication platforms. The no-code configuration layer allows business teams to deploy AI agents without requiring engineering resources for standard use cases.

NVIDIA’s direct participation in the funding round is the most commercially significant signal in Kore.ai’s recent history. An AI chipmaker investing in an AI deployment platform creates a mutual dependency: NVIDIA benefits from Kore.ai’s enterprise deployments consuming compute, and Kore.ai benefits from NVIDIA’s positioning of the platform as the integration layer between chipmakers and enterprise AI buyers. That positioning, if it holds, places Kore.ai at a structural intersection of the AI supply chain that is difficult to displace once enterprise integrations are in production. Kore.ai was founded earlier than the strict 2022-plus window on this list, but its 2026 funding round and NVIDIA partnership represent the breakout moment that makes it relevant to this cohort’s story.

HQ: Bengaluru and Orlando | Founder: Raj Koneru | Total funding: $620.9M | Latest notable round: $150M (NVIDIA participation) | Valuation: 1.6B-2.4B | Status: Unicorn

The Structural Shift Behind India’s 2026 Startup Cohort

The companies on this list are doing something that the previous generation of Indian startups largely did not: building at the foundation rather than the application layer.

• Emergent is writing the AI infrastructure for how non-technical people build software.
• Neysa is building the compute and model infrastructure that India’s AI economy will run on.
• Sarvam AI is building the language models that make AI accessible to Indians who speak Tamil, Telugu, Bengali, and Hindi rather than English.
• OrbitShift and SuperAGI are building the enterprise intelligence and agent infrastructure that will sit beneath India’s next wave of business software.
• Aurassure is building the sensor network and analytical layer that will underpin climate risk management for an entire subcontinent.
• Aule Space is building the orbital servicing capability that India’s growing satellite economy will need as those satellites age.

The shift is commercial. The application layer, food delivery, ride-hailing, ecommerce, and quick commerce, has been built and is being consolidated. The returns available to new entrants in those categories are limited by entrenched incumbents with network effects and distribution that took a decade to build. The foundation layer, compute, models, sensors, enterprise intelligence, and orbital infrastructure, has not been built in India yet.

The companies building it now are operating in markets where the competitive density is lower, the technical barriers to entry are higher, and the structural advantages of being first to build at sufficient quality are durable in ways that consumer application advantages often are not.

That is why the 2026 cohort looks different from 2016 or 2021. It is not that Indian founders have become more ambitious. It is that the foundation-layer opportunity has finally opened up at a moment when India has the engineering talent, the government support infrastructure, the institutional investor base, and the global credibility to pursue it. The companies that succeed from this cohort will define not just what Indian technology looks like in 2030, but what global AI infrastructure, built to serve non-English speakers and non-Western geographies, looks like for the rest of this century.