iWorld
SonyLIV partners Amagi to grow OTT ad revenue
MUMBAI: Amagi, a media processing service that targets advertising for TV and OTT, today announced that SonyLIV is using its Thunderstorm cloud-based platform for targeted OTT dynamic ad insertion. As part of the deal, Amagi will monetise premium GEC and movie channels on SonyLIV OTT platform, generating additional ad revenues.
Using Amagi Thunderstorm, SonyLIV will be able to insert targeted mid-roll ads without the need to change its existing broadcast workflows. The service leverages new-age machine learning techniques to detect ads in channel feeds and replace them with new, targeted ads on the server-side.
Sony Pictures Network India business head-digital Uday Sodhi said, “SonyLIV is growing its subscriber-base at an impressive rate, making it an ideal digital platform for advertisers to target clearly defined audience segments. We are continuously looking to enhance value for our advertisers. Amagi is a pioneer in the targeted advertising space and this technology partnership provides additional options for advertisers to work with us.”
SonyLIV has integrated Amagi Thunderstorm with its in-house ad-decision system and partner ad networks. This allows SonyLIV to maximise ad revenue opportunities in real-time by serving ad spots to the highest bidder. Amagi CEO Deepakjit Singh said, “We are delighted to partner with SonyLIV, and deploy our next-generation ad tech solutions that create new revenue opportunities. The Thunderstorm platform is designed for high concurrency, and to deliver frame-accurate ad insertions at scale. These capabilities become vital for SonyLIV, especially since many of its premium channels have high number of concurrent users.”
e-commerce
American Express to acquire AI startup Hyper to boost automation
Deal targets expense management as AI reshapes corporate spending tools.
MUMBAI: From receipts to robots, the expense sheet is getting a brain upgrade as American Express moves to bring artificial intelligence into the heart of corporate spending. The company has announced plans to acquire Hyper, a relatively young but fast-rising startup founded in 2022 that builds AI-powered agents capable of organising expenses, generating reports, verifying compliance with budgets and policies, and nudging users with timely reminders. The deal, expected to close in the second quarter of 2026, underscores a growing shift among financial institutions to automate traditionally manual, time-heavy workflows.
Hyper counts Sam Altman among its backers, adding a layer of Silicon Valley credibility to the acquisition. While financial details remain undisclosed, the strategic intent is clear: deepen automation capabilities and sharpen American Express’s position in the competitive corporate spending ecosystem.
The two companies are not strangers. They previously collaborated in 2024 on a co-branded credit card product, suggesting that the acquisition is less a cold buy and more an extension of an existing relationship. With this move, American Express is effectively bringing that capability in-house, aiming to embed AI directly into its commercial services stack.
Chief executive Stephen Squeri had already signalled the direction of travel in a recent shareholder letter, describing AI as a “structural shift” in how businesses operate. The Hyper acquisition appears to be a direct response to that shift, particularly in expense management, where processes such as approvals, compliance checks and reporting remain ripe for automation.
Alongside the acquisition, the company is also expanding its product suite. A recently launched business credit card offers cashback and benefits at an annual fee of $295, with another card expected later this year moves that complement its broader push into commercial services.
Taken together, the strategy points to a future where managing expenses may require fewer spreadsheets and more algorithms. For American Express, the bet is simple, if businesses are rethinking how work gets done, the tools that power that work need to evolve just as quickly.
