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 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
The Case for Custom eLearning Platforms: Why Organizations Are Making the Switch
The corporate eLearning market has exploded in recent years, growing over 800% since 2000. As the demand for eLearning continues to accelerate, more and more organizations are finding that off-the-shelf solutions cannot keep pace with their training needs. This has led many companies to make the switch to custom-built eLearning platforms tailored specifically for their requirements.
There are several key reasons driving the demand for customized eLearning tools:
Greater Flexibility and Scalability
Generic eLearning software packages often impose rigid constraints that limit their ability to adapt to an organization’s evolving needs. Meanwhile, the “one-size-fits-all” approach fails to support the personalized learning critical for employee development. Custom platforms provide flexibility to add and modify features to match ever-changing business goals. As companies scale training across global workforces, custom solutions built on cloud infrastructure can scale seamlessly to handle growing demand.
Deeper Integration Across Systems
Smooth integration with existing HR, LMS, and other business systems is critical for optimizing training workflows. However, off-the-shelf tools rarely integrate well, creating data and process siloes. Custom platforms can tightly integrate role-based learning paths with core business applications, sync user profiles, enable single sign-on, and more. This level of integration catalyzes more impactful training function.
Better Data and Analytics
Generic software severely limits access to data insights that drive improvement. Custom platforms unlock a trove of analytics on content consumption, learner progression, platform adoption, and real-time feedback. Integrated analytics dashboards and APIs allow businesses to derive deep visibility across the learner lifecycle. These insights help continuously enhance learner experience, target development gaps, and demonstrate direct training ROI.
Enhanced Learner Engagement
For modern learners accustomed to consumer-grade digital experiences, poor platform usability quickly erodes engagement. Custom designs allow companies to incorporate familiar features from popular apps and websites while optimizing for their audience. Adaptive learning approaches further personalize content to individual styles and needs. With modular component architecture, custom platforms stay on the cutting edge of new modalities like AR/ VR to captivate learners.
Brand and Culture Alignment
Off-the-shelf tools impose a generic and often disruptive experience that clashes with existing brand identity and culture. In contrast, custom platforms allow organizations to carry over familiar styling, voice, and workflow patterns. Consistency in experience preserves brand recognition while smoother onboarding leads to wider adoption across all employee groups. Over time, the platform can evolve alongside cultural changes as well.
While custom elearning tools require greater upfront investment, for enterprise training needs, the long-term benefits far outweigh the costs. The ability to mold platforms to current and future needs results in greater leverage from learning spend.
As businesses demand ever-more from their learning technology, custom solutions provide the agility needed for true scale. Rather than forcing training functions into the constraints of generic software, custom elearning development keeps the focus on nurturing talent and capabilities. For any organization looking to drive workforce transformation through learning, custom elearning represents the way forward.
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.
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“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.”

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.
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