Digital
Apple quietly acquires photonics startup invrs.io
MUMBAI: Apple just folded a photonics startup into its empire because when you’re building the future of light, sometimes you need to acquire the blueprint. Apple has quietly acquired key assets from invrs.io, a small AI-focused photonics startup, and brought its founder and sole employee, Martin Schubert, on board, according to a regulatory filing submitted to the European Union in October 2025.
The filing reveals that Apple would take over certain assets from invrs.io while hiring Schubert, a research scientist with prior stints at Meta, Google, and Micron Technology, where he worked on advanced display, semiconductor, and optical technologies.
Invrs.io specialised in open-source frameworks for photonics research, the science of controlling and manipulating light, critical to cameras, sensors, LiDAR, and displays across Apple’s ecosystem. The startup’s tools used AI-guided design to accelerate optical system simulation, optimisation, and benchmarking, aiming to make complex engineering more accessible to AI researchers and hardware developers.
Apple has not disclosed specific plans for integrating the technology, but the acquisition points to deeper ambitions in hardware-level AI. Enhanced light-based modelling could refine camera performance in iPhones and iPads, boost sensor accuracy in wearables, optimise spatial computing in Vision Pro, and advance next-generation displays and LiDAR systems.
Though modest compared with Apple’s blockbuster deals, the move underscores the company’s push to embed AI not just in software but in the physical foundations of its devices. As custom silicon and on-device AI accelerate, photonics expertise at the intersection of light and intelligence could prove a key differentiator.
For a company that once revolutionised screens with Retina displays, quietly snapping up a photonics innovator feels like the next logical step ensuring the light inside Apple’s world shines brighter, sharper, and smarter than ever.
Digital
AI set to transform media and entertainment industry
From creation to monetisation, AI is rewriting how stories are made and found
MUMBAI: Artificial intelligence is no longer a backstage tool in media and entertainment. It is fast becoming the main act. Delivering the keynote at the FICCI-EY M&E Industry Report launch, Meta managing director and country head Arun Srinivas, laid out how AI is transforming the entire value chain, from content creation to discovery and monetisation.
At the heart of this shift is access. AI is breaking long-standing barriers of language and reach, allowing content to travel further than ever before. Films, short-form videos and creator-led stories are now being dubbed, subtitled and even lip-synced across multiple languages with ease. The result is a more fluid, borderless entertainment ecosystem where stories find audiences far beyond their original markets.
Discovery, Srinivas noted, is undergoing an equally dramatic shift. On platforms such as Instagram and Facebook, a significant share of content consumption now comes from recommendations rather than followers. AI-driven systems are increasingly acting as matchmakers, connecting viewers with content tailored to their interests. In simple terms, content no longer waits to be found, it finds you.
For advertisers and platforms, this intelligence is translating into sharper targeting and improved efficiency. AI tools can identify the right audiences, optimise campaigns and even assist in crafting narratives for advertisements. What was once manual and intuitive is now data-driven and predictive.
India, Srinivas argued, sits at the centre of this transformation. With millions of creators producing content in dozens of languages, the country is both a testing ground and a growth engine for AI-led innovation. A large and rapidly digitising population, widespread smartphone adoption and expanding 5G access are further accelerating this shift towards a digital-first media economy.
Creators are already tapping into AI tools for editing, translation, dubbing and audience insights, enabling them to refine content in real time. Studios, meanwhile, are using predictive models to gauge consumer sentiment and optimise release strategies. Advertisers are deploying AI across campaigns, while developers continue to build new layers of tools and services on top of these platforms.
Srinivas also pointed to emerging interfaces that could redefine how content is consumed. From AI-powered assistants embedded in everyday apps to wearable devices offering immersive, on-the-go entertainment and real-time translation, the next wave of innovation is set to be more interactive and deeply personalised.
The broader message was clear. AI is not just enhancing the media business, it is restructuring it. As creators evolve into full-fledged studios and content becomes inherently multilingual, the lines between production, distribution and consumption are blurring.
With its scale, diversity and digital momentum, India is uniquely positioned to lead this shift. If storytelling has always been the country’s strength, Srinivas suggested, AI could well be the force that amplifies it to a global stage.
