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(Clairva organised a webinar covering  “Regulating AI Video in the Advertising Ecosystem” - The participants are Martin Bertilsson and Ashish Chandra and anchored by Sunil Nair of Clairva. The following is a summary of the complete video) For Chief Marketing Officers (CMOs), the rapid evolution of AI-generated video represents a shift from a creative novelty to a strategic necessity, bringing both immense competitive opportunities and significant regulatory risks. Here are th

One way to read India’s draft AI policy is as an attempt to retrofit order onto a system built on disorder. Modern AI systems are trained on billions of media fragments-scraped, compressed, decontextualised, and mathematically abstracted beyond human comprehension. As the policy paper notes, these are “non-deterministic” workflows where retracing the provenance of a copyrighted work is “technically infeasible”. That sentence captures the entire dilemma: AI companies can’t sho

There is a strange asymmetry in how languages disappear. They do not die because people stop speaking to them. They die because systems stop recognising them. The shift from print to digital accelerated this. The shift from digital to AI will finish the job unless we change how models are built. Today, the world’s largest AI models treat most of the Global South as a statistical rounding error. This is not malice. It is simple math. Public datasets over-index on English to a

In every technological wave, there is a phase when scarcity is mistaken for strategy. The early web had its “walled gardens,” when portals such as AOL and MSN believed exclusivity would preserve user value. Cable television clung to proprietary networks long after audiences had moved online. Even music labels, faced with the rise of Napster, thought restricting access would protect value. It never did. The gravity of technology has always pulled toward openness, interoperabil

For years, generative AI felt like the Wild West. A blur of innovation, imitation, and intellectual chaos. The logic was simple: scrape the internet, feed the model, and let creativity emerge. But now, as AI video systems mature, something more fundamental is taking shape: the emergence of rights management as core infrastructure. The moment was inevitable. Every new technology starts with an explosion of openness and then, over time, settles into structure. The early interne

Marks the beginning of a new era of content security and monetisation in South Asia, through cutting-edge AI Infrastructure   Bangalore/Singapore, October 13 th , 2025  — Clairva, a Singapore-headquartered AI data-infrastructure company , today announced a strategic partnership with GoQuest Media, a global content powerhouse renowned for its diverse catalogue and strong distribution presence. This collaboration pioneers a new era in responsible, brand-safe and licensed AI dat

In every wave of technology, advertising is both the first mover and the latecomer. The first because brands are always willing to try...

In every technological revolution, there are those who build the platforms and those who supply the raw material. History shows that the...

Meta’s potential $10B investment in Scale AI marks a shift in AI priorities—from model size to data quality. As LVMs demand deeper video context, ethically sourced, annotated datasets are becoming the real competitive edge. With Asia rising as a structured data hub and new compliance layers like copyright, consent, and provenance gaining traction, the future of AI will be shaped not by compute—but by who controls the data.

As LLMs and LVMs become infrastructure, the real moat shifts from models to context. Generic AI won’t decode regional nuance or gesture-rich video. Clairva sees the future: structured, culturally fluent data powering models that truly understand. In the coming AI era, compute is table stakes—context is the differentiator.

At Clairva, we believe the future of AI in Asian retail hinges on high-quality, localized data. Generic models fail to capture the region’s cultural nuance, signage, and shopper behavior. Clairva builds proprietary datasets for LVMs and LVGMs, combining real and synthetic video data with strong governance. In a world of open-source models, data is the moat—and ours is tailored for Asia’s retail reality.

The 2025 Meeker Report confirms AI’s explosive growth, but the real story lies upstream. As models scale and commoditize, the true moat becomes high-quality, licensed, and culturally contextual data. Clairva is building that dataset layer for Asia and beyond, structured, emotionally aware, and legally sound. In the next AI wave, better data, not just bigger models, will define who leads.

Not all video is AI-ready. Clairva helps creators and media owners transform existing content, like tutorials, interviews, and demos, into structured, licensed datasets for multimodal AI. From rights management to transcription, scene tagging, and cultural context, we handle the complexity so your content powers the next generation of smart, inclusive AI. The data that shapes AI can start with you.

The launch of Clairva early access program for creators. The post has details on how to enroll

2025 marks the year multimodal AI became mainstream. No longer confined to labs, it's shaping creative pipelines, campaigns, and commerce. But with this scale come serious questions. Brands now face legal, ethical, and reputational risks tied to unclear training data. In Asia's fragmented landscape, data provenance is no longer optional. Structured, licensed datasets are becoming the new supply chain and a new source of brand equity.

By mid-2025, video-first AI has gone mainstream, led by models like Sora, Veo 3, and Movie Gen. But their rise brings a new bottleneck: bandwidth. High-res video generation demands massive infrastructure, shifting the AI challenge from compute to communication. The real opportunity lies in curated, high-quality datasets and ethical creator ecosystems. In the video AI era, infrastructure and data quality, not just models, define success.

Creators face a paradox: sharing content online builds audiences but also fuels AI models that may replace them. Platforms like YouTube and TikTok offer reach but expose work to scraping and unlicensed use. Without clear licensing, creators lose control and compensation. Clairva is building systems to make AI training data transparent and fair, ensuring creators become stakeholders, not just sources, in the AI economy.

Synthetic data is rapidly reshaping AI, expected to power 80% of models by 2028. But overreliance risks model collapse, where AI loses accuracy by learning from its own outputs. The answer lies in balance. Clairva combines real, verified video datasets with thoughtfully generated synthetic data to ensure performance and trust. In AI’s future, authenticity and scale must go hand in hand.

AI’s bottleneck has moved from compute to data. As large video models rise, scraped clips are no longer enough. Clairva is building licensed, structured, and culturally relevant video datasets from Asia's vast content ecosystem. With creators, compliance, and quality at the core, we are building the infrastructure needed to train the next generation of human-centric AI across fashion, retail, and beyond.

AI is reshaping fashion, but without diverse training data, it risks reinforcing bias. From virtual try-ons that fail on darker skin tones to recommendation systems that overlook body diversity, the problem is clear. Clairva addresses this by sourcing inclusive, well-annotated video data from diverse creators. Our goal is to help build ethical, accurate fashion AI that serves everyone, not just the default.