The New AI Risk, Weekly Funding Rundown & More

A Big Threat: As GenAI systems begin to power everything, access to AI models is beginning to resemble access to critical infrastructure. A simple pricing revision, API deprecation, policy change, service outage or export restriction can disrupt businesses that rely heavily on a single AI provider.

This uncertainty is pushing companies towards hybrid architecture. Many enterprises are pairing frontier proprietary models (for advanced reasoning tasks) with open source models for routine, domain-specific and sensitive workflows. This allows companies to retain flexibility, reduce vendor lock-in and keep sensitive data under their own control.

Moat Beyond Models: Experts argue that the long-term battle may be about who controls the surrounding infrastructure around AI models. The model-agnostic architecture ensures that data infrastructure, memory layers and retrieval contexts remain completely portable, allowing organisations to switch models without disrupting business operations.

Crucially, keeping infrastructure in-house resolves compliance anxieties, data governance mandates and IP disputes arising from external cloud storage.

The Sovereignty Stake: As AI moves into critical sectors across the country, reliance on externally-controlled systems also raises sovereignty concerns. Open source software serves as a crucial shield against foreign trade restrictions and external tech monopolies. As base AI model capabilities commoditise and benchmark scores level out, the battleground is shifting towards localised control over the AI stack.

As foreign tech giants consolidate power in the AI realm, why is open source AI no longer just an option for Indian enterprises? Let’s find out…

As India’s younger consumers enter the workforce, many want something lighter, easier, and more wearable for daily use. This gap has opened space for Nishorama, a digital-first brand blending Indian fabrics with modern silhouettes for Gen Z shoppers.

Everyday Ethnic Wear: Founded in 2024, Nishorama designs apparel that draws on Indian textile traditions. Its collection focuses on breathable cotton and linen pieces shaped into relaxed, contemporary styles that feel at home in both casual and semi-formal settings. The brand targets younger consumers who want fashion that feels rooted in Indian aesthetics but does not require a special occasion to wear.

Agile & Fast Fashion: Nishorama operates with a fast-moving supply chain, which lets it respond quickly to social media trends and shifting customer tastes. This agility helps it refresh its catalogue frequently while keeping prices accessible, a key advantage in a market where style cycles move fast, and attention spans are short.

Gaining Steady Foothold: The startup claims to have generated ₹8 Cr in revenue within the first 10 months of its operation, an early sign of demand for its products. Going forward, Nishorama plans to deepen its D2C presence and expand through the quick commerce channel.

With India’s fashion ecommerce market projected to cross $43 Bn by 2030, can Nishorama turn ethnic wear into an everyday wardrobe staple for the Gen Z?

As Gen Z and millennials reshape food preferences, Korean cuisine is creating new opportunities for D2C brands, retailers and quick commerce platforms. Here are all the brands, key categories and market trends behind India’s growing K-Food ecosystem…