Rekise Marine Raises $9.7M to Build AI Naval Systems
Rekise Marine secures $9.7M seed funding led by Accel & NKSquared to power India's autonomous submarines, surface vessels, and AI-driven maritime defence systems.
TL;DR
Rekise Marine, a Bengaluru-based marine robotics startup, has raised $9.7 million in seed funding co-led by Accel and NKSquared. The capital will fund sea trials of Jalkapi — India's first extra-large autonomous underwater vehicle — and expand its engineering team. With platforms already delivered to customers, Rekise is quietly building India's autonomous naval future from the ground up.
Rekise Marine Bags $9.7 Million in Seed Funding to Accelerate India's Autonomous Underwater and Surface Vehicle Revolution
India's deep-tech ecosystem has never been short of ambition, but every once in a while, a funding announcement arrives that feels less like a business milestone and more like a statement about where the country's technological identity is heading. The $9.7 million seed round secured by Bengaluru-based marine robotics company Rekise Marine is one such moment. Co-led by Accel and NKSquared, with additional participation from Sameer Brij Verma, Sandeep Singhal, Industrial47, Singularity AMC, the company's own founders, and a clutch of family offices, this raise marks a significant vote of confidence in India's capacity to develop world-class autonomous systems designed for one of the most unforgiving environments on earth — the ocean. At The AI World, we believe this development is not just a startup funding story. It is a window into how artificial intelligence, robotics, and sovereign defence technology are converging to shape the future of maritime power, and why India is fast becoming a serious contender in that global race.
The announcement, which came on June 12, 2026, follows a prior raise of $4.72 million that Rekise had secured from Singularity AMC and other investors, bringing the company's total early-stage fundraising to a figure that is beginning to attract serious attention from both the defence establishment and the technology investment community. The fresh capital will be deployed across multiple high-priority workstreams — completing and conducting sea trials of Jalkapi, which is India's first extra-large autonomous underwater vehicle, deepening the company's proprietary autonomy software capabilities, and aggressively scaling up its engineering workforce across disciplines as specialised and diverse as robotics, artificial intelligence and machine learning, embedded systems, platform systems integration, and naval architecture. These are not token hirings meant to dress up a pitch deck. They represent the kind of deep, multi-disciplinary engineering talent that is required when you are building machines that must navigate, think, and operate without human hands on the controls, sometimes hundreds of metres below the ocean's surface.
A Major Seed Round That Signals India's Autonomous Maritime Moment
To understand why this round matters, it helps to zoom out a little and think about the broader context in which Rekise Marine is operating. The global market for unmanned maritime systems — which includes both autonomous surface vessels and autonomous underwater vehicles — is projected to grow substantially over the next decade, driven by increasing demand from naval forces, coast guards, offshore energy operators, and marine research institutions. Across the world, countries are waking up to the strategic importance of autonomous maritime capability. The United States, China, the United Kingdom, and Australia have all invested heavily in unmanned undersea systems. For India, a country with over 7,500 kilometres of coastline, a critically important Exclusive Economic Zone, and a complex maritime neighbourhood that demands constant situational awareness, the development of homegrown autonomous naval technology is not a luxury — it is a strategic necessity.
This is the environment in which Rekise Marine was born, and it is the backdrop against which this funding round acquires its full significance. The participation of Accel, one of India's most respected and globally connected venture capital firms, and NKSquared, which has a reputation for backing deep-tech ventures with genuine technological differentiation, signals that seasoned investors see a credible commercial and strategic path ahead for the company. The involvement of Sameer Brij Verma and Sandeep Singhal, both of whom are experienced technology investors with a track record in backing transformational Indian startups, further strengthens the quality of the capital coming in. When investors of this calibre put their money into a seed-stage marine robotics company, they are not doing so on the basis of a speculative idea. They are doing so because the product is real, the technology is proven at some level, and the market need is unambiguous.
What makes this funding round particularly interesting from an AI and technology perspective is the role that software plays in Rekise's business model. Many hardware companies in the defence and robotics space struggle because they build machines that are dependent on procurement cycles, which can be slow, unpredictable, and politically complex. Rekise has structured itself differently. Its autonomous software platform is designed to be the intelligence layer that runs across all of its vessels, from the smallest man-portable systems that a single soldier or coast guard operator might deploy, all the way up to extra-large submarines. This software-first philosophy means that the intellectual property lives in code, not just in metal and fibreglass, and that the same core capabilities can be deployed across multiple platforms with relatively minimal reconfiguration. From an investor's standpoint, that kind of platform leverage is extremely compelling. From a technology standpoint, it reflects an understanding of how AI-powered systems actually scale in the real world.
From Blueprint to Ocean: The Story and Vision Behind Rekise Marine
Rekise Marine was co-founded in 2017 by Maitrai Maka and Shekhar, who set out with a clear and unapologetic ambition — to build autonomous ships and submarines for India. That ambition was rooted not in abstract aspiration but in a hard-nosed assessment of what the country needed and what the founders believed they could actually build. Nearly a decade later, the company has evolved from a vision into a tangible engineering organisation with a portfolio of operational and near-operational platforms, a track record of working with India's premier defence-linked shipyards, and now a substantial injection of capital to take the next big step forward.
One of the most important things to understand about Rekise Marine is that it is a fully integrated company. It does not simply write software and hand it off to a third-party shipbuilder to figure out the hardware. Instead, Rekise designs, builds, and integrates its vessels in-house, working in close partnership with two of India's most respected and strategically significant shipyards — Goa Shipyard Limited and Garden Reach Shipbuilders and Engineers Limited, better known as GRSE. This kind of collaboration with established defence shipyards is rare for a startup of Rekise's vintage, and it speaks to the level of technical credibility that the company has built within India's defence ecosystem. It also means that Rekise's systems are being built to standards and tolerances that will satisfy military and government procurement requirements, not just tech demo standards.
This integration of software intelligence with rigorous hardware engineering is exactly what differentiates Rekise from many other autonomous vehicle companies that operate primarily in the software domain. Building something that works in a controlled test environment is one thing. Building something that works reliably in the open ocean, under adverse weather conditions, in electromagnetically complex environments, and against the background of real operational constraints, is an entirely different engineering challenge. Rekise's choice to own the full stack — from the autonomy algorithms to the hull design — means that it has to solve that harder problem, but it also means that when it does solve it, the resulting product is genuinely difficult for competitors to replicate.
Since its founding, Rekise Marine has been strategic about which programmes it pursues. The company has aligned itself with the Indian government's broader push to build indigenous defence capabilities, particularly through platforms like the iDEX (Innovation for Defence Excellence) programme run by the Ministry of Defence. This alignment is not purely a commercial strategy. It reflects a genuine belief on the part of the founders that India needs to develop its own sovereign autonomous systems, and that the time to do it is now, while the technological window is open and the geopolitical context is creating demand.
Jalkapi, Jaldoot, and Swadheen — The AI-Driven Fleet Rewriting Maritime Operations
The most technically exciting element of Rekise Marine's story is its product portfolio, which now includes multiple platforms at various stages of development and deployment. Each of these platforms represents a different application of the company's core autonomy software, and together they paint a picture of a company that is not just building one product but systematically expanding its autonomous maritime capabilities across multiple operational domains.
Jalkapi is, by any measure, the most ambitious and strategically significant programme in Rekise's portfolio. It is India's first extra-large autonomous underwater vehicle, developed under the Indian Navy's iDEX ADITI programme, which is the most advanced tier of the iDEX framework and focuses on technologies with direct, near-term implications for national security. Extra-large autonomous underwater vehicles, sometimes referred to as XLUUVs in defence parlance, are among the most complex and capable autonomous systems in existence anywhere in the world. They are large enough to carry meaningful payloads — sensors, communication equipment, or other mission-specific hardware — and capable enough to operate for extended durations without human intervention. Developing such a system is a feat that only a handful of companies globally have achieved, and Rekise Marine is now joining that group with the backing of the Indian Navy's innovation programme. A significant portion of the new funding will go directly towards completing Jalkapi and putting it through its sea trials, which will be a critical milestone in demonstrating the vehicle's real-world operational readiness.
Jaldoot is another platform in the portfolio, and it occupies a different but equally important niche. As an autonomous surface vessel, Jaldoot operates on the water's surface rather than below it, and it has already moved beyond the prototype stage — it has been delivered to customers. That is a meaningful distinction in the world of deep-tech startups, where there can sometimes be a long and painful gap between a working prototype and an actual commercial delivery. The fact that Jaldoot is already in customer hands suggests that Rekise Marine has navigated at least part of that valley, and that its surface autonomy capabilities are mature enough to be deployed in real operational contexts.
Swadheen represents yet another dimension of the company's capabilities. This autonomous survey vessel has completed fully autonomous open sea trials, which means that it has demonstrated the ability to navigate, operate, and complete a mission profile on the open ocean without human control. For an autonomous maritime system, open sea trials are the gold standard of testing, because the open ocean presents conditions that simply cannot be fully replicated in a controlled environment. Currents, waves, wind, variable GPS quality, unexpected traffic from other vessels — all of these factors combine to create an environment that tests an autonomous system's decision-making capabilities in ways that nothing else can. Having successfully completed those trials, Swadheen joins a very small group of autonomous maritime systems anywhere in the world that have demonstrated this level of real-world capability. In addition to these platforms, the company is also developing a man-portable autonomous underwater vehicle, which is currently undergoing trials and would significantly expand the tactical utility of Rekise's product line by making autonomous underwater capability accessible in scenarios where deploying a large vehicle would be impractical.
What ties all of these platforms together is Rekise's unified autonomy software platform, which is arguably the most important thing the company has built. Rather than writing separate software for each vehicle, Rekise has created a platform that can be configured and deployed across vessels of wildly different sizes and mission profiles, from the small man-portable underwater vehicle to the extra-large Jalkapi. This architecture reflects a sophisticated understanding of how autonomous systems actually need to work in real military and commercial deployments, where operators may need to manage multiple vehicles simultaneously and where reducing the cognitive and training burden on human operators is a critical design goal. From an AI perspective, this kind of cross-platform intelligence layer is exactly the kind of scalable, composable system that distinguishes truly serious autonomous technology companies from those that are building one-off demonstrations.
Why Investors and the Defence Establishment Are Betting Big on Marine AI
The investment thesis behind Rekise Marine becomes clearer when you consider the particular moment in history that we are living through. Geopolitical tensions in Asia and the Indo-Pacific have pushed naval modernisation up the priority list for governments across the region. India, in particular, has been accelerating its defence procurement and indigenous development programmes, recognising that strategic autonomy in defence technology is as important as strategic autonomy in foreign policy. The Indian Navy's willingness to support Jalkapi through the iDEX ADITI programme is not an isolated decision — it is part of a broader institutional commitment to developing next-generation capabilities in-house or through trusted domestic partners.
At the same time, the commercial maritime sector is also undergoing a significant transformation driven by autonomous and AI-powered systems. Port operations, offshore energy exploration, environmental monitoring, hydrographic surveying, and search and rescue operations are all areas where autonomous maritime vehicles can deliver dramatic improvements in efficiency, safety, and cost. The convergence of military and commercial demand creates a particularly favourable market environment for a company like Rekise, which can develop technology to the demanding standards required by defence customers and then find commercial applications for the same underlying platform. This dual-use potential is something that investors like Accel and NKSquared will have analysed carefully, and it is almost certainly a significant part of the investment rationale.
The structure of the round itself also speaks to a maturation of India's deep-tech investment ecosystem. A decade ago, it would have been very difficult to raise a seed round of this size for a marine robotics company in India. The risk appetite simply did not exist among domestic investors, and international investors were not yet paying close enough attention to the Indian deep-tech space to step in. That has changed substantially. India's success in space technology, with companies like Skyroot Aerospace and Agnikul Cosmos demonstrating that world-class rocket technology can be built in Bengaluru and Chennai, has helped change the narrative about what Indian deep-tech startups are capable of. Rekise Marine is benefiting from that changed perception, even as it is also contributing to a further shift in how the world thinks about Indian engineering ambition. For The AI World and its readers who track the intersection of artificial intelligence with physical-world applications, this kind of deep-tech funding story is a reminder that AI is not just a software phenomenon — it is increasingly the intelligence layer inside machines that operate in some of the most challenging physical environments imaginable.
India's Maritime Deep-Tech Race and What Comes Next for Rekise Marine
Rekise Marine does not operate in isolation, and it is worth acknowledging that the autonomous maritime systems space in India is beginning to attract a cluster of companies with overlapping and complementary capabilities. Odisha-based Coratia Technologies, along with Planys, Eyerov, and Sagar Defence, are all working in adjacent or overlapping areas of the autonomous maritime market. The emergence of this cluster of companies is itself a positive signal — ecosystems tend to develop faster when multiple companies are competing and collaborating simultaneously, creating demand for shared infrastructure, attracting engineering talent, and drawing the attention of customers who might otherwise have been hesitant to bet on a single startup.
That said, Rekise Marine appears to occupy a particularly strong position in this emerging ecosystem, for several reasons. Its portfolio is broader than most of its peers, spanning surface and subsurface systems. Its relationships with Goa Shipyard Limited and GRSE give it access to manufacturing capabilities and institutional credibility that are difficult for newer entrants to replicate. Its iDEX ADITI programme participation places it at the very forefront of the Indian Navy's indigenous innovation agenda. And now its new capital gives it the runway to complete its most ambitious programme — Jalkapi — and move it from a development project to an operational system that can be evaluated for further procurement.
With the fresh funding in hand, the immediate priorities for the company are clearly defined. The sea trials for Jalkapi will be a make-or-break moment in the company's journey, not just commercially but symbolically. Successfully demonstrating an extra-large autonomous underwater vehicle in real ocean conditions would be a landmark achievement that puts Rekise Marine in a very small global company — alongside programmes run by well-resourced defence primes in the United States and Europe. It would validate years of engineering effort, build confidence among potential customers, and create a powerful proof point for the next stage of the company's growth.
Simultaneously, the expansion of the engineering team will be critical to sustaining the pace of development across multiple platforms. Marine robotics requires genuinely rare combinations of expertise — you need people who understand naval architecture and hydrodynamics, but you also need software engineers who can build reliable real-time autonomous systems, and you need AI and machine learning specialists who can push the decision-making capabilities of those systems further. Building that team in India, in a domain that has not traditionally been a major employer of engineering talent, will be one of the more interesting human capital challenges that Rekise Marine will face in the months ahead.
Looking further out, the logical trajectory for a company with Rekise Marine's capabilities is the export market. India's defence exports have been growing significantly, and autonomous maritime systems are increasingly on the shopping lists of navies and coast guards around the world, particularly in countries that are looking for alternatives to Chinese or Western suppliers. The combination of advanced technology, competitive pricing, and India's growing reputation as a trustworthy strategic partner creates a genuinely interesting export opportunity for Rekise Marine, one that the company and its investors will almost certainly be evaluating as the platform matures.
For the broader AI and deep-tech community that The AI World serves, the story of Rekise Marine is a powerful illustration of what becomes possible when foundational AI and robotics capabilities are combined with deep domain expertise, long-term thinking, and a genuine willingness to take on hard engineering problems. The ocean is perhaps the most demanding testing ground for autonomous intelligence that exists. If you can build a system that thinks, navigates, and operates reliably under its surface, you have demonstrated something that has implications far beyond any single product or market. India is building that capability, and Rekise Marine is at the front of the wave.