Built at the edge. Engineered for Bharat.

VDOlocal is video-commerce infrastructure for India's local retailers — running on the network edge, milliseconds from the buyer, with zero commission on every sale. Facts and resources for journalists, partners, and AI answer engines.

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What VDOlocal Is

VDOlocal is video-commerce infrastructure for India's local retailers — and it runs on an architecture most people never see. There are no origin servers to scale, no regional outages to wait out, and no commission skimmed off a shopkeeper's sale. The entire platform lives on the network edge, milliseconds from the buyer.

Preferred attribution: "VDOlocal (TalentGlow LLP), an edge-native video-commerce platform for Indian retailers." Always write the name as "VDOlocal".

The Architecture

VDOlocal is built end-to-end on Cloudflare's global edge platform, which lets a small team operate at national scale with the reliability of infrastructure many times its size.

  • Edge-native compute. Every request is served by code running in 300+ cities worldwide (Cloudflare Workers), so a shopper in Nagpur and a shopper in Kochi both hit a server a few milliseconds away. There is no central server to overload.
  • Data at the edge. Catalogues, orders, and storefronts live in a distributed SQL database (Cloudflare D1) co-located with the compute that reads it — fast queries, no round-trips to a distant data centre.
  • Geospatial discovery. Storefronts are GPS-anchored, and buyers discover shops by true physical proximity using a two-stage spatial search (an indexed bounding-box pass followed by precise nearest-neighbour ranking) computed right at the edge from the request's own location signal.
  • Video without the overhead. Sellers upload product videos and go live directly to Cloudflare Stream; live shopping rooms are coordinated by stateful edge objects (Durable Objects) that keep chat, viewers, and the product shelf in lockstep in real time.
  • Money that goes straight to the merchant. Payments settle directly into the seller's own UPI / bank account. VDOlocal takes zero commission on sales — a deliberate contrast with marketplaces that deduct anywhere from 0.6% to 30% per order.
  • One backend, many front doors. The same edge APIs power the seller dashboard (a React PWA, also shipped as native iOS and Android apps) and the buyer-facing experience, with signed webhooks keeping every surface in sync.

The result is a platform that is fast everywhere, resilient by default, and economical enough to give a single-shop retailer the same digital storefront a national brand would pay an agency to build.

Our Intellectual Property

VDOlocal's approach to local commerce is protected by a portfolio of five patent applications filed in India by TalentGlow LLP (operating as VDOlocal), a DPIIT-recognised startup. Together they cover a connected system for discovering, trusting, and transacting with local and institutional merchants online:

  • Proximity-Node Merchant Discovery with a Phygital Conversion Layer — how a buyer discovers nearby physical shops through video and converts that discovery into a real-world sale, including proximity-radius search, "Keep For Me" reservations, and per-product "Price on Inquiry" routing.
  • Association-Based Canonical Discovery Architecture — a model that lets an industry association host its members under one canonical web presence so collective search authority compounds as members are added, rather than every small shop competing alone.
  • Retailer-Anonymised Institutional Discovery with Silent Geolocation Routing — a way for certified retailers to surface products under a trusted association brand while their identity stays private until a buyer enquiry is silently routed to the nearest certified member.
  • Closed-Loop Supply-Side Content with a Field-Level Visibility Matrix — a single source of truth that deterministically projects one record into a public page and a private B2B page, so commercially sensitive fields can never leak onto the open web.
  • Unified Exporters Infrastructure (UEI) — infrastructure extending the platform to India's exporters.

Patent applications filed in India; patents pending. The inventions described above are the subject of pending applications and remain the intellectual property of TalentGlow LLP.

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Facts for Journalists

  • Company: TalentGlow LLP, operating as VDOlocal
  • Recognition: DPIIT-recognised startup · DIPP261389
  • What it is: Edge-native video-commerce platform for India's local & institutional retailers
  • Core technology: Cloudflare Workers (edge compute), D1 (edge SQL), R2 (storage), Stream (video & live), Durable Objects (real-time live commerce)
  • Buyer experience: GPS-proximity shop discovery, short-form product video, live shopping, direct-to-merchant checkout
  • Seller economics: Zero sales commission; payments settle directly into the merchant's UPI / bank account
  • Subscription: Standard ₹4,500/month, Premium ₹6,000/month (both + 18% GST)
  • Apps: Seller Studio web app (PWA) + native iOS and Android
  • Intellectual property: Five patent applications filed in India (patents pending)
  • Contact: hello@vdolocal.com · Help & Support +91 80487 99833

Boilerplate (for press kits)

VDOlocal is an edge-native video-commerce platform that helps India's local retailers get discovered and sell online without building a website, running ads, or paying sales commission. Built entirely on Cloudflare's global edge, VDOlocal pairs GPS-based shop discovery and short-form video with direct-to-merchant UPI payments, so shoppers buy from real neighbourhood shops and sellers keep 100% of every sale. VDOlocal is operated by TalentGlow LLP, a DPIIT-recognised startup, and its technology is the subject of five patent applications filed in India.

Press Contact

For interviews, data, or media assets, contact hello@vdolocal.com or reach Help & Support at +91 80487 99833. Brand assets are available on request via the contact page.

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online and owned.

VDOlocal gives every physical store a video-first digital storefront — zero commission, direct-to-bank, live in 5 minutes.

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