Kärcher India Champions ‘Mechanised cleaning’ with Manual vs Mechanised’ Campaign

New Delhi, Apr 15: The recent campaign launched by Kärcher India is known as “True Clean” and encouraging consumers to move beyond traditional cleaning methods and adopt smarter, more efficient mechanised solutions

This marketing campaign is founded on the principle that there is a distinction between surfaces that seem clean and are truly clean. Regular practices like sweeping and scrubbing tend to disperse dust and leave behind stubborn grime along with requiring physical exertion continuously. In this way, Kärcher emphasizes “invisible inefficiencies” that are associated with traditional cleaning processes and do not lead to true hygiene.

“Clean = Kärcher” is one of the company’s key slogans. This slogan reflects the efficacy of the technology-driven products provided by the organization from vacuum cleaners that capture and hold in dust instead of dispersing it, to steam cleaners that promise 100% chemical free cleaning process as well as killing off 99.999% of viruses and 99.99% of bacteria, along with high-pressure washers that deliver powerful cleaning far beyond conventional methods.

Ayesha Prasad Narain, AGM Marketing at Kärcher India said, “The cleaning process cannot be limited only to the surface level; we must go beyond visible cleaning results. This is the message of our “Manual vs Mechanised‘ campaign, which is designed to help consumers see the difference between perception and reality and motivate them to choose technology-based smart solutions that offer deep cleaning without putting any additional effort.” 

The campaign is also an indication of changing consumer behavior and lifestyle. By introducing innovations like robotic vacuum cleaners and easy-to-carry cleaning products, Kärcher makes it possible for consumers to opt for cleaner yet efficient ways of cleaning.

Through this campaign, Kärcher India aims to drive a clear shift in consumer mindset—from viewing cleaning as a manual chore to experiencing it as a smart, effortless, and efficient process.

Orbital sets date for first test mission to put AI data centers in low Earth orbit

Orbital is building and operating AI data centers in space, using solar power and radiative cooling to remove the energy and cooling constraints that limit terrestrial AI infrastructure. Backed by funding from a16z Speedrun, the company plans to launch its first test mission in 2027 and is opening Factory-1, its R&D facility in Los Angeles.

Los Angeles, California – Apr 15; The demand for AI compute is surging, but the bottleneck is no longer chips, it’s the power required to run them. Orbital was founded on the belief that the only way to scale compute and unlock future progress on artificial intelligence is to stop competing for power on Earth and generate it in orbit.

Today, the company announced funding from a16z Speedrun to support Orbital-1, the company’s first test mission on its aim of deploying data centers in space. “Speedrun backs founders to explore ambitious ideas — the harder the problem, the better,” said Andrew Chen, General Partner, a16z speedrun. “Orbital is taking on AI‘s biggest constraint with a bold and radical idea.”

Orbital is designing and manufacturing a constellation of satellites to operate in low Earth orbit, each housing a cluster of NVIDIA-powered servers. Each satellite is powered by solar arrays and cooled by radiating heat directly into space. In orbit, solar power is available 24/7 in sun-synchronous orbit and stronger, with no weather, no night, and no dependence on the power grid. 

“AI progress is being constrained by the grid,” said Euwyn Poon, CEO and founder of Orbital. “Data center economics are dominated by electricity and cooling, and both are getting harder. In orbit, solar power is continuous and cooling is fundamentally different. Orbital is building compute infrastructure that removes the energy ceiling and scales with AI‘s potential.”

Orbital‘s compute infrastructure is designed around a specific technical insight. Training large AI models requires thousands of GPUs tightly coupled, communicating at near-zero latency. That architecture does not translate to satellites. Inference is different. Each request is handled independently, and capacity can be distributed across many nodes. Orbital is focused on inference, where orbital compute can scale as a constellation and serve workloads in parallel.

Orbital‘s first satellite, Orbital-1, is scheduled to launch on a SpaceX Falcon 9 in April 2027. Its primary goal is to validate sustained GPU operation in orbit, test radiation hardening, and run AI inference workloads commercially in space post-validation. The company is also in the process of filing with the FCC to deploy a constellation of satellites for orbital AI compute infrastructure.

Orbital was founded by Euwyn Poon, a Cornell-educated engineer and lawyer who previously founded Spin, the micromobility company acquired by Ford. At Spin, Poon built and deployed hundreds of thousands of small electric vehicles across 100 cities and scaled the business to over $100 million in revenue. After exiting Spin, he began investing in AI infrastructure and saw the impending constraint clearly. “The energy ceiling on AI isn’t theoretical, it’s a real constraint that will impede the advancement of intelligence,” said Poon. “This is the solution.”