Rajat Khare Venture Capitalist Leading India’s Deep-Tech Revolution Through Boundary Holding

Rajat Khare Venture Capitalist- AI-powered short video inspection technology is emerging as a game-changer for industries that rely on complex infrastructure and equipment. As Rajat Khare – an IIT Delhi alumnus, venture capitalist and deep-tech investor – observes, videos are now “the most effective way of communication,” enabling remote, real-time monitoring of critical systems. Instead of sending large teams on-site to check machinery or construction projects, companies can use AI-driven short videos to continuously monitor assets from afar. This approach promises to save time and money while also being climate-conscious. “It’s an opportune moment to be a part of such new-age innovations not just to save time and money but also to be climate-conscious,” Khare says.

Khare’s background lends weight to these ideas. A technologist and serial entrepreneur, he founded Boundary Holding, a Luxembourg-based venture investment firm focused on deep-tech startups. He previously built a chain of hi-tech training institutes serving over 128,600 students. Today he co-authors industry research and actively invests in emerging technologies worldwide. For example, Boundary Holding has backed companies in clean energy, medical technology, and sustainable waste management. This mix of experience and capital allows Rajat Khare to spot and fund innovations like AI video inspections early.

The AI-Powered Short Video Revolution

New developments in computer vision and machine learning are fueling a revolution in field operations. Instead of manual, on-the-ground audits, companies now rely on short video clips captured by drones, cameras or smartphones to verify progress and spot problems. As TechTimes explains, monitoring infrastructure “can be done remotely, accurately, and in real time,” which removes the need for costly on-site teams. In this remote-inspection model, field agents upload short videos or live-streams of equipment and construction sites; AI algorithms then analyze the footage instantly for anomalies.

For example, in large solar energy projects, this technology has already been put into practice. At Enel Green Power (an Italian renewable energy firm), engineers working on $200–$400 million solar plants attach short video recordings to their data submissions. This lets managers verify work remotely: videos provide evidence of construction quality and progress without waiting for inspectors to travel to the site. “They could assess inspection quality in real time, ensuring that any issues were identified and addressed immediately,” TechTimes reports. This not only improved data reliability but also led Enel to restructure how it budgets and schedules inspections. By using short video evidence, Enel reduced unnecessary travel and sped up decision-making in ways that textbook checklists never could.

Other industries are seeing similar shifts. In manufacturing, energy, and utility sectors, companies are increasingly streaming video from remote assets to central AI platforms. Instead of sending specialists to every plant or substation, firms use AI-video feeds to spot equipment failures or structural damage. This on-demand visibility “saves both time and money, without any downtime,” as TechTimes notes. The result is a major productivity boost: assets stay online longer, and maintenance can be more targeted. In effect, AI-powered short videos turn every field engineer’s smartphone into a high-tech sensing device.

Why Investors Are Betting on Video-Driven AI Inspections

Venture capitalists are taking note of these benefits. Rajat Khare himself is betting big on this trend. As an investor with a deep-tech focus, he believes the video-inspection model is just beginning. “We’re still in the early stages of the AI-powered video revolution,” he says. In the coming years, Khare expects industries from construction to utilities to switch to fully remote, AI-driven inspections. His own firm’s track record reflects this vision: Boundary Holding has funded startups in adjacent areas like clean-tech and healthcare analytics, proving its appetite for high-impact innovations.

Khare’s profile underscores his credibility. An IIT Delhi alumnus, he co-authored the entrepreneurship book Make The Move and was even honored by India’s President for promoting startups. In 2017 he founded Boundary Holding to scale his investment approach globally. Today, the fund champions a socially conscious strategy, backing companies that address climate change and social needs. For Khare, AI video inspections fit neatly into this thesis: they cut costs and carbon footprints while improving field safety. In his view, supporting this technology helps both businesses and the planet – a dual payoff that investors find compelling.

As more startups demonstrate these advantages, the investor enthusiasm is growing. Video-inspection firms have raised funding rounds and won pilot deals with large corporations. For example, telecom and utility giants now collaborate with AI vendors for remote diagnostics. As one TechTimes piece notes, companies like TechSee are enabling providers to solve equipment problems without a truck roll. Similarly, startups focused on construction have caught investors’ eyes: companies like Blitz (which uses computer vision to analyze construction progress) are raising venture funding on their ability to flag issues (from material defects to worker-safety hazards) early. In short, where remote inspection used to sound futuristic, today it’s a fast-growing market with VCs joining the wave.

Pioneers of AI Video Inspection Technology

Several innovative firms are leading this transformation. In the UK, Vyntelligence (formerly known as vyn) has been working on short-video field tools since 2013. Its flagship platform, SmartVideoNotes, lets field technicians record brief walkthrough videos of their tasks. CEO Kapil Singhal explains that the software delivers “instant, real-time analysis of video footage,” so companies can make faster, data-driven decisions and “reduce the costs associated with on-site inspections”. In practice, Vyntelligence is deploying its AI in sectors like utilities and manufacturing, where even minor downtime is expensive.

Across the globe, startups with similar visions are making strides. TechSee (founded in Israel) offers an AI-powered visual support platform. Customers in telecom and energy use TechSee’s augmented reality system to troubleshoot equipment: field workers share live video of a device, and the AI guides them to resolve the issue. According to TechTimes, TechSee is “helping global giants in telecom and utilities carry out remote equipment diagnostics and problem-solving”. This means fewer truck rolls and faster fixes for things like network outages or power station faults.

In the construction and infrastructure realm, another player is Blitz. Blitz uses computer vision to analyze videos of building sites and identify problems early. Its AI algorithms scan video feeds for signs of defects, alignment errors, or safety risks among workers. Clients include construction firms that want continuous progress monitoring without setting foot in every location. As one industry officer puts it, such tools allow companies to “remain operational while minimizing risk and inefficiencies” – and to “avoid costly delays” in detecting issues.

Notably, many of these pioneers have Indian roots and are finding global markets, especially in Europe where sustainability and efficiency are hot priorities. Investors like Rajat Khare are excited by this momentum: as demand for cleaner, smarter operations grows, solutions that blend AI, video, and mobile technology stand to scale rapidly. Boundary Holding, for instance, explicitly looks for startups with that deep-tech, ESG-oriented angle, which aligns perfectly with the AI-video inspection wave.

How AI-Powered Short Video Technology Works

AI-driven video inspection combines several advanced technologies. First, specialized hardware captures the footage: this might be a rugged camera on a pole, a drone flying over infrastructure, or a smartphone held by a field technician. The video is then streamed (often via a secure cloud platform) to servers running computer vision and machine-learning models. These AI models have been trained to spot anomalies in the footage. For example, they can recognize broken power lines, rust on a wind turbine, or misaligned panels on a roof. When the AI detects an issue, it automatically flags it and may even suggest corrective steps. In effect, the system does the work of an inspector, but much faster and continuously.

Modern drones and autonomous devices play a key role in this workflow. Equipped with high-resolution cameras, drones can reach hard-to-access or hazardous areas without risking humans. In fact, experts note that drones “eliminate the need for physical presence in dangerous areas, reducing risk and increasing safety”. A drone can fly under a bridge, over a skyscraper roof, or inside an aging oil rig’s structure to capture video. That footage then feeds into the AI system for instant analysis. Because this process is remote, companies can keep operations running without interruption. A Blitz technology officer emphasizes that this means avoiding costly delays: their AI “helps clients avoid costly delays, and because AI models learn from every inspection, the system only gets smarter over time”.

In practice, the AI software often includes features like object recognition, anomaly detection, and predictive analytics. For instance, it can compare a current video to archived “normal” images and spot anything new or out of place. Over time, as more inspections are performed, the machine learning model improves its accuracy. This continuous learning loop ensures that inspectors are alerted only to genuine issues, reducing false alarms. Overall, AI video inspection gives companies real-time situational awareness and decision-making power from anywhere.

Key Benefits of AI-Powered Video Inspections

Remote Verification & Data Accuracy: Video evidence attached to field reports allows managers to verify work remotely. This ensures data and inspections are reliable even without travel.

Cost and Time Savings: Eliminating many on-site visits slashes travel and labor costs. AI-analysis is faster than manual review, so issues are detected sooner – saving both time and money.

Enhanced Safety: By sending cameras instead of people into hazardous zones, companies protect workers. As one industry article notes, drone inspections “reduce risk and increase safety” by avoiding dangerous areas.

Environmental Impact: Fewer inspection trips mean a smaller carbon footprint. Cutting travel lowers emissions – studies show remote work can reduce personal carbon footprints by ~54% TechTimes similarly notes that fewer site visits means “fewer vehicles are needed… reducing carbon emissions” in maintenance.

Continuous Monitoring & AI Learning: Drones and cameras can run 24/7, offering constant oversight. Each video analysis trains the AI model, improving future inspections. In Blitz’s words, as “AI models learn from every inspection, the system only gets smarter over time.

These advantages combine to make AI-driven video inspections a powerful strategy for modern industry: faster, safer, and greener operations with up-to-date intelligence.

Environmental and Sustainability Benefits

Beyond efficiency, AI video inspections deliver strong climate benefits. Every on-site trip avoided is one less vehicle burning fuel. As TechTimes points out, with “fewer on-site inspections, fewer vehicles are needed for travel, reducing carbon emissions and the environmental footprint of routine maintenance. In other words, companies can cut their greenhouse gas output simply by having fewer people drive to remote locations.

Industry experts agree this aligns well with global climate goals. Rather than contributing to carbon-intensive site visits, AI inspections support businesses in their sustainability initiatives. A Cornell University study found that working remotely can lower an individual’s carbon footprint by about 54% compared to always commuting to work. While that study focused on office workers, the same principle applies: minimizing travel yields large emissions reductions. By tracking assets via video instead of roads, companies take a big step toward net-zero goals.

In summary, AI-powered short video technology not only streamlines operations but also helps meet ESG (Environmental, Social, Governance) targets. By reducing travel, maximizing asset uptime, and leveraging green technology (like electric drones), businesses can embrace deep tech without compromising on environmental responsibility. Investors like Rajat Khare see this dual benefit as a win-win: efficiency gains paired with significant climate impact reduction.

Conclusion- Shaping the Future of Remote Inspections

The rise of AI-driven short video inspections is transforming how field services are done. Industries that once depended on laborious on-site checks are now able to operate more nimbly and sustainably. Analysts agree this trend will only grow: as TechTimes observes, these systems are “revolutionizing remote inspections, making industries more efficient, cost-effective, and sustainable Venture capital firms like Rajat Khare’s Boundary Holding are backing this innovation. Khare himself notes that as deep-tech venture investment continues (especially from firms focused on clean-tech and AI), the shift to fully remote inspections will accelerate

In practical terms, this means fewer delays, lower maintenance bills, and a smaller carbon footprint. As more businesses eliminate inefficiencies and move into this AI-driven model, experts believe we’ll see a new standard in industrial monitoring: one powered by short videos and smart algorithms. In the words of TechTimes, AI video inspections are “shaping the future of industrial monitoring one video at a time. With visionaries like Rajat Khare investing in the space, the technology’s impact on safety, sustainability and productivity will only deepen – offering a clear path to a more efficient, greener industrial future.

Source Link - https://www.techtimes.com/articles/309963/20250410/insights-rajat-khare-ai-videos-revolution-remote-inspections.htm