Technology

Indian drone startup Raphe mPhibr raises $100M as military UAV demand soars

Indian drone startup Raphe mPhibr has raised $100 million in an all-equity Series B round led by General Catalyst, as the startup aims to boost its R&D and local production capabilities amid growing demand for drones in battlefields and for border surveillance.

Drones are becoming increasingly ubiquitous in global military operations. In recent and ongoing conflicts, countries have turned to drones for rapid infiltration and high-impact strikes. The recent India-Pakistan war is a prime example, with both militaries deploying drones at scale despite having advanced fighter jets and missile systems. The conflict spurred New Delhi to triple its drone spending to $470 million over the next 12 to 14 months, according to the Drone Federation of India, an association representing over 550 companies.

While China remains the dominant force in global drone manufacturing, Raphe mPhibr aims to strengthen India’s indigenous drone capabilities.

Co-founded by siblings Vikash Mishra (chairman) and Vivek Mishra (CEO) in 2017, the Noida-based startup currently offers nine different drones with payloads ranging from 4.4 pounds to 441 pounds, covering an average distance of between 12 and 124 miles. These drones include the mR10 operational drone swarm, the mR20 for high-altitude logistics resupply, the X8 compact platform for maritime patrol and situational awareness at sea, and the Bharat lightweight man-carried drone for quick surveillance in complex terrain.

The startup has more than 10 customers, all of which are Indian government agencies, including the Indian Army, Navy, and Air Force, as well as armed police forces such as the Border Security Force, Central Reserve Police Force, and the Indo-Tibetan Border Police.

The Mishra brothers conceptualized Raphe mPhibr in 2016 while Vikash was studying at the Massachusetts Institute of Technology and Vivek was at the Georgia Institute of Technology. For the initial three to four years, the co-founders focused on understanding the operational needs of the defense forces, along with other requirements, such as environmental and terrain considerations. Then they began building multicopters to meet the needs of the Indian troops, gradually expanding to fixed-wing and vertical takeoff and landing (VTOL) aircraft.

“In the process, we understood that since the need is new and the area is niche, we focused on both research and manufacturing because we didn’t want to be constrained by what [already existed],” Vivek said in an interview.

The startup began its journey with a 2,000-square-foot research facility in 2017 but expanded to a 100,000-square-foot combined research and manufacturing facility. This has now been expanded to a 650,000-square-foot facility as a result of the fresh capital infusion, which also saw the participation of its existing investor Think Investments.

“From day one, we have been against the transfer of technology,” Vivek told TechCrunch.

raphe manufacturing facility — Raphe’s Surface Mount Technology (SMT) Line in Noida.Image Credits:Raphe mPhibr

Raphe mPhibr domestically produces its flight controllers, batteries, and all components and materials required to build drone structures, including subtractive metals, thermoplastics, carbon fiber composites, and even wire harnesses. It also develops proprietary autopilots and inertial navigation systems at its facility. However, the startup imports radars and high-end cameras, which it also plans to manufacture in-house within 18 months.

Vivek told TechCrunch that the startup does not rely on China for any of the components it uses, thereby avoiding some supply chain challenges.

“The biggest challenge was setting up the facility and doing research,” he said. “Because doing research in India is slightly more expensive compared to the U.S., just because the infrastructure is quite well set up there … getting the machinery is a challenge, installation, and commissioning is a challenge, and then operating it, again, is a challenge because finding the people who can operate these is hard.”

Raphe mPhibr has addressed some of these hurdles by focusing on training and developing its employees from its early days, he added.

The startup also utilizes AI on its drones for object detection in surveillance scenarios, automatically switching between frequency bands to adapt to electronic warfare and employing operational UAV swarm intelligence to make decentralized decisions using AI.

In recent months, Raphe mPhibr has partnered with Germany’s Hensoldt and France’s Safran to collaborate on developing new sensors, as well as with France’s Dassault Systèmes for software simulation requirements.

Raphe mPhibr also plans to expand beyond India and enter new markets. To this end, it has already participated in defense air shows, including those in Dubai and Paris.

Vivek told TechCrunch that the startup already has some export licenses and is seeking more but declined to share specifics.

“There are very advanced talks happening with a few government agencies across the world, and very soon, hopefully, this year, we will start delivering there as well,” he said.

In the past 12 months, Raphe mPhibr has sold over 300 drones and has experienced up to 4x revenue growth over the last four years, Vivek said, without disclosing specific numbers. He also stated that the startup has been profitable for each of the last four years and is projected to go public within the next two to five years.

Raphe mPhibr has around 600 employees, with 150 dedicated to research and over 250 to production. To date, the startup has secured a total of $145 million in equity funding.

Technology

Pintarnya raises $16.7M to power jobs and financial services in Indonesia

Pintarnya, an Indonesian employment platform that goes beyond job matching by offering financial services along with full-time and side-gig opportunities, said it has raised a $16.7 million Series A round.

The funding was led by Square Peg with participation from existing investors Vertex Venture Southeast Asia & India and East Ventures.

Ghirish Pokardas, Nelly Nurmalasari, and Henry Hendrawan founded Pintarnya in 2022 to tackle two of the biggest challenges Indonesians face daily: earning enough and borrowing responsibly.

“Traditionally, mass workers in Indonesia find jobs offline through job fairs or word of mouth, with employers buried in paper applications and candidates rarely hearing back. For borrowing, their options are often limited to family/friend or predatory lenders with harsh collection practices,” Henry Hendrawan, co-founder of Pintarnya, told TechCrunch. “We digitize job matching with AI to make hiring faster and we provide workers with safer, healthier lending options — designed around what they can reasonably afford, rather than pushing them deeper into debt.”

Around 59% of Indonesia’s 150 million workforce is employed in the informal sector, highlighting the difficulties these workers encounter in accessing formal financial services because they lack verifiable income and official employment documentation.

Pintarnya tackles this challenge by partnering with asset-backed lenders to offer secured loans, using collateral such as gold, electronics, or vehicles, Hendrawan added.

Since its seed funding in 2022, the platform currently serves over 10 million job seeker users and 40,000 employers nationwide. Its revenue has increased almost fivefold year-over-year and expects to reach break-even by the end of the year, Hendrawn noted. Pintarnya primarily serves users aged 21 to 40, most of whom have a high school education or a diploma below university level. The startup aims to focus on this underserved segment, given the large population of blue-collar and informal workers in Indonesia.

Techcrunch event

San Francisco
|
October 27-29, 2025

“Through the journey of building employment services, we discovered that our users needed more than just jobs — they needed access to financial services that traditional banks couldn’t provide,” said Hendrawan. “We digitize job matching with AI to make hiring faster and we provide workers with safer, healthier lending options — designed around what they can reasonably afford, rather than pushing them deeper into debt.”

Pintarnya Founders Press Kit — image credits: Pintarnya (Founders of Pintarnya Ghirish Pokardas, Nelly Nurmalasari, and Henry Hendrawan)

While Indonesia already has job platforms like JobStreet, Kalibrr, and Glints, these primarily cater to white-collar roles, which represent only a small portion of the workforce, according to Hendrawan. Pintarnya’s platform is designed specifically for blue-collar workers, offering tailored experiences such as quick-apply options for walk-in interviews, affordable e-learning on relevant skills, in-app opportunities for supplemental income, and seamless connections to financial services like loans.

The same trend is evident in Indonesia’s fintech sector, which similarly caters to white-collar or upper-middle-class consumers. Conventional credit scoring models for loans, which rely on steady monthly income and bank account activity, often leave blue-collar workers overlooked by existing fintech providers, Hendrawan explained.

When asked about which fintech services are most in demand, Hendrawan mentioned, “Given their employment status, lending is the most in-demand financial service for Pintarnya’s users today. We are planning to ‘graduate’ them to micro-savings and investments down the road through innovative products with our partners.”

The new funding will enable Pintarnya to strengthen its platform technology and broaden its financial service offerings through strategic partnerships. With most Indonesian workers employed in blue-collar and informal sectors, the co-founders see substantial growth opportunities in the local market. Leveraging their extensive experience in managing businesses across Southeast Asia, they are also open to exploring regional expansion when the timing is right.

“Our vision is for Pintarnya to be the everyday companion that empowers Indonesians to not only make ends meet today, but also plan, grow, and upgrade their lives tomorrow … In five years, we see Pintarnya as the go-to super app for Indonesia’s workers, not just for earning income, but as a trusted partner throughout their life journey,” Hendrawan said. “We want to be the first stop when someone is looking for work, a place that helps them upgrade their skills, and a reliable guide as they make financial decisions.”

Technology

OpenAI warns against SPVs and other ‘unauthorized’ investments

In a new blog post, OpenAI warns against “unauthorized opportunities to gain exposure to OpenAI through a variety of means,” including special purpose vehicles, known as SPVs.

“We urge you to be careful if you are contacted by a firm that purports to have access to OpenAI, including through the sale of an SPV interest with exposure to OpenAI equity,” the company writes. The blog post acknowledges that “not every offer of OpenAI equity […] is problematic” but says firms may be “attempting to circumvent our transfer restrictions.”

“If so, the sale will not be recognized and carry no economic value to you,” OpenAI says.

Investors have increasingly used SPVs (which pool money for one-off investments) as a way to buy into hot AI startups, prompting other VCs to criticize them as a vehicle for “tourist chumps.”

Business Insider reports that OpenAI isn’t the only major AI company looking to crack down on SPVs, with Anthropic reportedly telling Menlo Ventures it must use its own capital, not an SPV, to invest in an upcoming round.

Technology

Meta partners with Midjourney on AI image and video models

Meta is partnering with Midjourney to license the startup’s AI image and video generation technology, Meta Chief AI Officer Alexandr Wang announced Friday in a post on Threads. Wang says Meta’s research teams will collaborate with Midjourney to bring its technology into future AI models and products.

“To ensure Meta is able to deliver the best possible products for people it will require taking an all-of-the-above approach,” Wang said. “This means world-class talent, ambitious compute roadmap, and working with the best players across the industry.”

The Midjourney partnership could help Meta develop products that compete with industry-leading AI image and video models, such as OpenAI’s Sora, Black Forest Lab’s Flux, and Google’s Veo. Last year, Meta rolled out its own AI image generation tool, Imagine, into several of its products, including Facebook, Instagram, and Messenger. Meta also has an AI video generation tool, Movie Gen, that allows users to create videos from prompts.

The licensing agreement with Midjourney marks Meta’s latest deal to get ahead in the AI race. Earlier this year, CEO Mark Zuckerberg went on a hiring spree for AI talent, offering some researchers compensation packages worth upwards of $100 million. The social media giant also invested $14 billion in Scale AI, and acquired the AI voice startup Play AI.

Meta has held talks with several other leading AI labs about other acquisitions, and Zuckerberg even spoke with Elon Musk about joining his $97 billion takeover bid of OpenAI (Meta ultimately did not join the offer, and OpenAI denied Musk’s bid).

While the terms of Meta’s deal with Midjourney remain unknown, the startup’s CEO, David Holz, said in a post on X that his company remains independent with no investors; Midjourney is one of the few leading AI model developers that has never taken on outside funding. At one point, Meta talked with Midjourney about acquiring the startup, according to Upstarts Media.

Midjourney was founded in 2022 and quickly became a leader in the AI image generation space for its realistic, unique style. By 2023, the startup was reportedly on pace to generate $200 million in revenue. The startup sells subscriptions starting at $10 per month. It offers pricier tiers, which offer more AI image generations, that cost as much as $120 per month. In June, the startup released its first AI video model, V1.

Techcrunch event

San Francisco
|
October 27-29, 2025

Meta’s partnership with Midjourney comes just two months after the startup was sued by Disney and Universal, alleging that it trained AI image models on copyrighted works. Several AI model developers — including Meta — face similar allegations from copyright holders, however, recent court cases pertaining to AI training data have sided with tech companies.

Got a sensitive tip or confidential documents? We’re reporting on the inner workings of the AI industry — from the companies shaping its future to the people impacted by their decisions. Reach out to Rebecca Bellan at [email protected] and Maxwell Zeff at [email protected]. For secure communication, you can contact us via Signal at @rebeccabellan.491 and @mzeff.88.

We’re always looking to evolve, and by providing some insight into your perspective and feedback into TechCrunch and our coverage and events, you can help us! Fill out this survey to let us know how we’re doing and get the chance to win a prize in return!