Generative AI video startup Vidu, from ShengShu Technology, just rolled out a major upgrade to its Model-as-a-Service (MaaS) API, putting avatar-driven campaigns squarely in the hands of e-commerce and advertising teams. If TikTok rewired how brands think about short-form video, Vidu wants to be the production studio powering the next wave—only without the cost or time of traditional shoots.

The update leans into a fast-rising trend: the fusion of virtual idols, avatars, and commerce. From Japan’s Hatsune Miku to K-pop-inspired PLAVE, virtual performers aren’t just entertainment—they’re a marketing playbook. Vidu’s new capabilities aim to give retailers, advertisers, and even travel brands the same storytelling firepower.

What’s New in the Vidu MaaS Upgrade

Lip Sync API

• Natural lip-sync from text, audio, or video.

• 324 preset voices, 60+ languages, 4K output, up to 600 seconds.

• Controls for rate, style, and volume.

Creative Templates

• “Virtual Singer” template for 8–15 second clips.

• Generate stylized lip-synced videos from a single image in under four minutes.

MCP Integration

• Supports Model Context Protocol (MCP) apps like Claude and Cursor.

• API can now auto-pick between text-to-video, image-to-video, or template workflows.

It’s a practical push to remove friction. Instead of developers needing to string together different APIs, Vidu’s engine decides how to best process the request.

Video is already the king of e-commerce marketing, but localization and speed have long been pain points. A campaign that works in Brazil may not resonate in Korea—or even in a different region of the U.S. Vidu’s bet is that avatar-driven templates and multilingual lip sync let brands churn out culturally tuned content faster than human-led production cycles.

ShengShu CEO Yihang Luo framed it bluntly: “E-commerce moves at the speed of culture.” Vidu’s pitch is that avatars are becoming part of that culture—and unlike human influencers, they scale infinitely without burnout or PR scandals.

Vidu isn’t alone here. Synthesia has raised serious capital for its AI presenter tools, while Runway and Pika Labs chase the text-to-video frontier. But Vidu is leaning on commerce-first positioning, weaving avatars into sales and advertising pipelines rather than just generic video creation. That’s a notable angle—especially as Amazon, TikTok Shop, and Shein prove that speed plus spectacle drives conversions.

The numbers suggest demand is already here. Vidu hit 1 million users in its first month, then 10 million by month three. As of today, it’s surpassed 300 million total generated videos. For perspective, that’s more than the total video uploads on some mid-tier social platforms.

Meanwhile, its technical roadmap is filling in gaps beyond avatars: multi-entity “reference-to-video” consistency, cinematic first-to-last frame transitions, and even HD audio generation. These are features aimed not just at marketers, but also entertainment, gaming, and training industries where fidelity matters.

Generative AI video tools are flooding the market, but few are as laser-focused on commerce and advertising as Vidu. The new MaaS API update makes avatars, lip sync, and MCP-backed automation not just accessible—but production-ready.

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Global programmatic media partner MiQ has named Andy Barnet as Managing Director, West, a move that underscores the company’s growing ambitions in the U.S. and the rising role of AI in shaping advertising technology. Based in Los Angeles, Barnet will oversee operations across California, Oregon, Washington, Arizona, and Nevada.

Barnet joins MiQ from Cast Iron Media, where he served as Senior Vice President. His résumé spans leadership stints at Ampersand, Xandr, and NBCUniversal—giving him the kind of hybrid experience in sales, data, and tech platforms that defines today’s programmatic battleground.

The Western U.S. has become a hotbed for media, entertainment, and tech-driven marketing. With Barnet steering MiQ’s regional strategy, the company is zeroing in on high-growth verticals including automotive, QSR, travel, fintech, and entertainment—sectors where AI-driven adtech is rapidly becoming table stakes.

The appointment also lands just as MiQ rolls out Sigma, its new AI-powered omnichannel platform. Sigma promises to let clients plan, activate, and measure campaigns across multiple platforms—without the usual fragmentation that plagues ad buys. That’s a subtle dig at walled gardens and an appeal to brands tired of juggling incompatible stacks.

Industry Context

MiQ’s bet on AI aligns with a wider trend: programmatic firms are racing to layer machine learning and AI agents into campaign planning and optimization. Competitors from The Trade Desk to Xandr have pitched similar promises, but MiQ is leaning hard on its “agnostic” approach—integration with any tech stack, rather than locking clients into a single ecosystem.

“Andy’s leadership, combined with our agnostic approach to adtech and the power of our new AI-driven platform, will enable us to deliver truly customized solutions,” said Marion Hargett, U.S. Chief Revenue Officer at MiQ.

Barnet’s Vision

Barnet, for his part, is framing the move as both client-focused and tech-forward. “I’m thrilled to join MiQ and contribute to its mission of driving results through innovative, AI-powered omnichannel platforms,” he said, pointing to Sigma as a differentiator in cutting waste and boosting efficiency for brands.

MiQ isn’t just hiring an executive—it’s betting on a strategy. As the programmatic market gets more crowded and AI arms races heat up, Barnet’s mix of sales acumen and tech fluency could help the company carve out bigger wins in the West. For brands in industries where competition is ruthless and margins tight, Sigma’s promise of seamless integration might just be the hook MiQ needs.

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Accenture is bolstering its social media muscle. The company announced the acquisition of Superdigital, a U.S.-based social and influencer agency, in a move designed to expand Accenture Song’s end-to-end social marketing offerings—from audience strategy and community building to content production, commerce, and performance measurement.

Founded in 2013, Superdigital has built a reputation for agile creative production and culturally attuned content, particularly across short-form video and platform-native campaigns. Its 40-person team of strategists, creators, and managers will now fold into Accenture Song, joining a roster of recent acquisitions including Unlimited, Work & Co, and SOKO.

“Marketing is evolving at an explosive pace, reshaped by AI and rising consumer expectations,” said Sean Lackey, Accenture Song’s Marketing practice lead for the Americas. “For many of our clients, social media is where their audiences see them first. Leading with social is essential to building connections and driving demand. Superdigital brings added strength at the intersection of creativity, data, and technology.”

Superdigital’s portfolio spans tech, consumer goods, gaming, and entertainment brands, where it has specialized in influencer partnerships, data-driven campaign optimization, and social-native storytelling. General Manager Biz Hennigan said joining Accenture Song will allow the team to “supercharge bold, original thinking with world-class technology and creativity at scale.”

The deal underscores a broader trend: social media’s central role in brand building, engagement, and commerce. For CMOs, it has become the frontline of customer relevance—blurring lines between performance marketing and community-driven storytelling.

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Ecommerce merchants on Shopify just got an easier way to keep their customers engaged—without burning hours on manual email design. Getsitecontrol has rolled out a major update to its GSC Email Marketing & Pop Ups app, bringing AI-powered email templates, dynamic product feeds, and unique discount codes designed to streamline ecommerce email campaigns.

The promise: branded, personalized emails ready to send in minutes.

From DIY to AI: Branded Templates on Autopilot

Instead of fiddling with colors, logos, or discount codes, the app now pulls directly from a merchant’s Shopify store—inventory, purchase history, branding elements, and even social links. The result? Fully branded, prefilled templates that look like they were hand-crafted, only faster.

The AI engine even generates industry-specific copy. For example, an abandoned-cart email might automatically slot in the missing item, throw in a personalized discount, and suggest related products—all without the merchant lifting a finger.

Dynamic Product Feeds That Sell for You

This update also gives Shopify sellers the option to add dynamic product recommendations into their emails: think bestsellers, new arrivals, or personalized picks based on browsing and order history.

Order confirmation and checkout abandonment workflows can now nudge customers toward cross-sells and upsells, highlighting complementary items or alternatives. It’s the type of personalization usually reserved for enterprise-level platforms—now baked into an app small to mid-size merchants already use.

Discount Codes That Don’t Leak

Anyone who’s run a coupon campaign knows the headache of seeing discounts leak onto deal sites. Getsitecontrol’s answer: unique, single-use discount codes. Every subscriber gets a one-off code, reducing coupon abuse and giving merchants clean tracking data on exactly which emails drive conversions.

Email marketing is still ecommerce’s highest-ROI channel, but execution often drags. Competitors like Klaviyo and Omnisend already lean heavily on AI-driven personalization, and Getsitecontrol clearly doesn’t want to be left behind. By turning Shopify store data into plug-and-play campaigns, i

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Reborn Coffee is brewing more than just specialty lattes—it’s eyeing blockchain. The California-based coffee chain announced it has begun a strategic review to explore how regulated digital assets, including Bitcoin and Ethereum, might fit into its treasury management playbook.

The move signals that even a coffee-first company is considering what’s becoming a Silicon Valley–flavored corporate trend: parking cash in crypto. Tesla, Block, and MicroStrategy have already dabbled, with varying levels of market drama. Reborn Coffee, though, is framing its exploration as cautious and compliance-driven rather than speculative.

Brewing Innovation Beyond Beans

CEO Jay Kim emphasized that the company’s mission—delivering premium coffee experiences worldwide—hasn’t changed. What is changing is how Reborn thinks about its balance sheet. With capital efficiency in mind, management sees blockchain-based assets as one possible hedge or diversification tool for non-operating reserves.

But don’t expect a sudden Bitcoin-buying spree. The company underscored that this is strictly an exploratory process. Any actual investment would require board approval, SEC-compliant disclosures, and the kind of regulatory guardrails that have become table stakes in corporate treasury experimentation.

For investors, the review highlights how digital assets are creeping further into mainstream treasury conversations. Reborn is no tech giant, but its willingness to even entertain blockchain-based capital strategies underscores how normalized the idea has become in corporate finance.

That said, coffee margins and crypto volatility don’t exactly pair like cappuccino and croissants. The review could end up as a signal to shareholders that Reborn is “forward-looking” without necessarily pulling the trigger. Still, it places the coffee retailer in a small but growing club of companies acknowledging crypto as more than just a passing fad.

Reborn Coffee is staying grounded in beans while dipping a cautious toe into Bitcoin. Whether it ultimately pours crypto into its treasury or keeps the pot empty, the signal is clear: innovation in corporate finance is no longer reserved for tech titans. Even coffee chains are paying attention.

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Grammarly, the company synonymous with spell checks and polished prose, is rebranding itself for the AI era. The company announced it’s rolling out eight specialized AI agents designed to tackle the writing challenges that most generic chatbots gloss over—like sourcing credible citations, predicting how a professor or manager might react to your draft, and even grading work against a rubric before you hand it in.

These agents live inside docs, Grammarly’s new AI-native writing surface. It’s the company’s boldest bet yet: moving from being a background helper to a full-on AI partner embedded in the writing process.

From Grammar Fixes to Context-Aware Agents

For years, Grammarly has been a digital proofreader—polishing punctuation, suggesting better synonyms, and saving people from email embarrassment. But AI has upended the writing-assistant category. Tools like ChatGPT can spin up essays or reports on command, leaving Grammarly with a clear challenge: how to stay indispensable in a world where anyone can generate 1,000 words with a single prompt.

The answer, apparently, is agentic AI—a suite of agents that not only suggest improvements but also act in context. Instead of users wrestling with vague prompts, the new Grammarly agents handle specific, high-stakes tasks:

• Reader Reactions: Anticipates what professors, managers, or clients might think, pointing out possible confusion or missed takeaways.

• AI Grader: Gives feedback aligned with rubrics, coursework, or instructor details—essentially a “pre-grade” before the real grade.

• Citation Finder: Surfaces relevant evidence for or against a claim and automatically formats citations.

• Expert Review: Provides subject-matter feedback for academic or professional fields.

• Proofreader: Offers in-line clarity and tone suggestions, tailored to audience and style.

• AI Detector: Scores whether text was AI- or human-generated—a timely feature in classrooms and workplaces alike.

• Plagiarism Checker: Scans work against papers, sites, and published materials for originality.

• Paraphraser: Helps adjust tone and style, or even build a custom “voice.”

In other words, Grammarly is staking its future not just on fixing grammar but on redefining the writing process itself.

Aiming at Students and Professionals

The launch isn’t just about students trying to dodge plagiarism checkers. Grammarly has bigger ambitions: becoming an essential partner in both education and the workplace.

For students, the agents promise more than just shortcuts. A business student writing a market analysis, for example, could use the Citation Finder to back up claims, the Proofreader to refine clarity, and the AI Grader to stress-test the paper against a professor’s rubric. Grammarly pitches this as AI literacy—teaching students to work with AI responsibly while still building genuine skills.

Professionals, meanwhile, get agents that act like intelligent writing consultants. Imagine a marketing director drafting a product launch email: the Reader Reactions agent can predict how the CEO might respond versus how the sales team might react, while Expert Review ensures the messaging aligns with industry norms.

That’s a far cry from underlining passive voice in a Google Doc.

This launch also signals Grammarly’s attempt to lead a new trend in AI software: agents that do more than answer prompts. Instead of dumping a wall of text, these agents integrate into workflows, anticipate needs, and execute tasks automatically.

It’s a pivot that mirrors moves from other productivity players. Microsoft has Copilot baked into Office, Google has Duet AI in Workspace, and Notion is layering AI into its notes. Grammarly’s differentiation? Its agents are hyper-specialized and laser-focused on communication.

Still, competition looms. OpenAI’s GPTs and Anthropic’s Claude Projects are also chasing “agentic AI” as the next frontier. The question is whether Grammarly can leverage its trusted brand in writing assistance to fend off those tech giants.

The implications are twofold. For students, Grammarly may become a de facto tutor—helping them master writing and AI literacy at the same time. For professionals, it positions Grammarly as a must-have layer for communication in an AI-cluttered workplace.

But it also raises questions. Will professors trust AI-graded drafts? Will managers see Grammarly as a productivity boost or as outsourcing critical thinking? The company insists its agents are designed to support, not replace genuine skills—a narrative it will need to keep reinforcing as debates over AI in education and work continue.

With eight AI agents and a new writing hub, Grammarly is moving beyond the red underlines that made it famous. The company is betting that the future of writing isn’t just about fixing errors—it’s about embedding intelligence directly into the process, whether you’re drafting a thesis or a product pitch.

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Customer experience has long been one of those boardroom buzzwords—every company talks about it, but few manage to deliver it consistently. Servion Global Solutions thinks it has an answer. The CX and contact center solutions provider today unveiled JourneyWorCX™, a next-generation customer experience execution framework that blends AI orchestration with hands-on consulting to make CX strategies actually stick.

The pitch is clear: stop obsessing over Net Promoter Scores (NPS) and Customer Satisfaction surveys (CSAT) that arrive too late to fix anything. Instead, use AI plus human expertise to catch broken touchpoints in real time, smooth them out, and turn frustrating customer journeys into measurable wins.

From Surveys to Seamless Journeys

Most CX programs are built around metrics that show up after the fact. By the time a negative survey rolls in, the customer is already gone. Servion argues that the “journey gap” between strategy and execution is what kills CX initiatives. JourneyWorCX is designed to close that gap by focusing on proactive fixes rather than lagging indicators.

The framework is anchored in two offerings:

• Discovery + LaunchPad: A rapid diagnostic tool paired with AI-powered voice experiences. Think of it as a “CX triage team” that identifies broken processes and deploys fixes within weeks, delivering immediate improvements like shorter call handling times or higher task completion rates.

• Engage360: An ongoing optimization service that runs regular audits, monitors performance, and provides customized recommendations. The idea is to keep journeys evolving, not just fix them once.

Bryce Gibson, Servion’s CEO, put it bluntly: “NPS ratings and CSAT surveys provide insights after the customer is already lost. JourneyWorCX lets clients save a customer in real time.”

Why Now?

The timing isn’t accidental. Industries like finance, healthcare, and telecom are under pressure to modernize experiences without losing regulatory compliance or the human touch. The pandemic accelerated digital adoption, but it also magnified customer frustrations with bots that don’t resolve issues and “personalized” journeys that feel anything but personal.

Servion is betting that AI-driven orchestration, done through a human lens, can strike the balance between efficiency and empathy.

Industry Allies Line Up

The framework is already drawing support from big CX players. Genesys, NICE, Verint, Parloa, and inQuba have all voiced their alignment with Servion’s approach. That backing matters—because in the CX tech landscape, partnerships often determine whether a framework like this scales or stalls.

Amy Slater of Genesys framed it as part of a broader movement toward experience orchestration rather than one-off fixes. NICE highlighted outcomes-driven delivery, while Verint emphasized aligning AI with human engagement. Parloa and inQuba added that combining Servion’s orchestration with their analytics and emotionally intelligent agents creates a more complete CX toolkit.

The Competitive Landscape

Servion isn’t alone here. Rival CX platforms like Salesforce, Adobe Experience Cloud, and SAP Emarsys are also investing heavily in AI-driven journey orchestration. What differentiates Servion’s pitch is its consultative, outcomes-first model—less about selling a platform license, more about embedding expertise alongside technology.

That approach may appeal to enterprises wary of “buying yet another tool” without a clear path to ROI. But it also raises the stakes: if Servion positions itself as a partner, clients will expect results fast.

A Company in Transition

JourneyWorCX also represents more than just a new product launch—it’s part of Servion’s broader transformation under new leadership. The company recently refreshed its executive team and redesigned its website, signaling a push to reposition itself as a trusted CX innovation partner rather than just a solutions vendor.

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TikTok trends can flare up and fizzle out in a matter of days. For brands trying to stay relevant, that’s a nightmare. Enter Trend Chef, a new AI-powered web app from digital marketing agency New Engen, designed to turn TikTok’s cultural flashpoints into brand-ready creative concepts—fast.

The tool, announced today, scans trending TikTok formats and transforms them into custom short-form content ideas aligned to a brand’s voice. Instead of marketers scrambling to figure out how to participate in the latest dance, skit, or sound, Trend Chef does the heavy lifting by blending platform-native language, creator strategy best practices, and Gen Z cultural cues.

“TikTok trends move fast, and for brands, timing is everything,” said Justin Hayashi, CEO of New Engen. “With Trend Chef, we’re giving brands and creators a way to move at the speed of culture while staying true to their voice.”

Cooking Up Culture at Scale

Trend Chef isn’t just a trend-spotting tool; it’s an execution shortcut. By surfacing brand-relevant content formats, the app helps marketers jump into viral conversations without feeling inauthentic. That matters at a time when audiences can sniff out “forced” trend participation from a mile away.

For creators, the tool offers a constant stream of fresh inspiration—helping them grow audiences and maintain cultural relevance without burning out. For brands, it provides a way to act quickly without sacrificing authenticity, potentially boosting engagement and lead generation.

A Different Flavor Than Traditional Agencies

New Engen is pitching Trend Chef as more than a novelty—it’s a statement about how marketing agencies need to evolve. While traditional agencies often deliver campaigns at quarterly or seasonal rhythms, Trend Chef embodies a “real-time” approach to culture.

It also positions New Engen in the growing creator economy, where agencies are expected to be partners in fast-moving content ecosystems, not just vendors of ad campaigns. By fusing AI with cultural intelligence, New Engen is hoping to differentiate itself in a crowded market that includes both legacy shops and creator-first startups.

The launch of Trend Chef comes as short-form video dominates digital marketing strategies. TikTok, YouTube Shorts, and Instagram Reels are now central to brand engagement, especially with younger audiences. Meanwhile, AI-driven personalization tools are pushing marketers to adapt faster, tailoring not just ad targeting but also creative execution to shifting cultural trends.

In this environment, Trend Chef’s promise—AI-fueled trend participation at the speed of TikTok—could be a competitive edge. Whether it becomes a must-have tool for creators and marketers or just another “viral trend” remains to be seen.

New Engen’s Trend Chef blends AI with cultural intelligence to help brands and creators catch trends before they disappear. For marketers struggling to keep pace with TikTok’s breakneck culture cycles, it might just be the secret ingredient they’ve been missing.

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