Flyte Makes Private Aviation More Accessible with Deeply Discounted “Empty Legs” Flights

Flyte, the aviation arm of Creatd, Inc., has just dropped a game-changer for the regional air travel market—Empty Legs, a pre-scheduled, one-way private flight option that offers up to 90% off traditional charter prices.

This new program monetizes otherwise idle repositioning flights, creating a high-margin revenue stream while opening the doors of private aviation to price-conscious business and first-time fliers. It’s more than just an affordable ride: it’s the foundation of Flyte’s bigger plan—transitioning to scheduled, per-seat Vision Jet shuttles informed by live market demand.

“Each booking gives us real-world demand insights,” said Jeremy Frommer, CEO of Creatd. “That data tells us where to launch our next shuttle.”

Turning Empty Flights Into Profit

Repositioning flights—flights that run empty to move aircraft where they're next needed—have long been an unavoidable cost in private aviation. Flyte flips the script by selling seats on these flights, keeping operational costs minimal and margins high.

In return, passengers get the full private jet experience: private terminal access, fast boarding, and all standard amenities—minus the typical charter price tag.

Laying the Groundwork for Scheduled Jet Service

While the deals are a draw, the real innovation is the data. Flyte will use booking behavior, route popularity, and load factors to inform where to deploy scheduled routes on Vision Jets—compact aircraft known for low operating costs and short-runway versatility.

These insights will guide service between underserved city pairs in the Northeast, expanding Flyte’s footprint without expanding its fleet.

Strategic Partnerships for Fast Scaling

To scale fast without owning more planes, Flyte is tapping into a network of Part 135 certified operators. These partner fleets supply the repositioning inventory, instantly boosting Flyte’s route coverage while maintaining an asset-light, capital-efficient model.

“We can scale capacity rapidly while keeping balance-sheet leverage low,” said Flyte Founder Marc Sellouk.

Smart Distribution for Seat Absorption

Empty Legs inventory is searchable in real time via Flyte’s web app and distributed through select broker channels to maximize seat absorption and data capture—all part of the feedback loop for refining future pricing, routing, and scheduling.The Bigger Vision: Regional Air Travel, Reimagined

Flyte is pushing to make regional private aviation feel less like a luxury and more like a reliable, scalable transportation network. With Empty Legs as the entry point and Vision Jet shuttles on the horizon, Flyte is betting big on data-fueled aviation that blends affordability, accessibility, and efficiency.

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In a move that underscores the rising threat of digital deception, Cyabra, the AI-powered disinformation detection platform, has launched the Cyabra Brand & Entertainment Council—a strategic advisory group bringing together heavyweights from media, tech, and talent.

The newly formed council includes high-profile figures such as Jonny Bentwood (President of Data & Analytics at Golin), Mike G (Partner at United Talent Agency), David Wander (Chief Digital Officer at Roc Nation), and Arthur Stark (former President of Bed Bath & Beyond). Their mandate? Help Cyabra stay ahead of rapidly evolving AI threats like deepfakes, fake accounts, and viral disinformation that can crush reputations in minutes.

“The threat of digital impersonation and manipulated content has never been more serious for our artists and their fans,” said Mike G. “This Council is a crucial step forward in safeguarding the integrity of entertainment.”

A Real-Time Response to a Fast-Moving Problem

Cyabra, known for its real-time detection of social media manipulation, is working with the council to establish industry-wide strategies for authenticity in a time when fake is often indistinguishable from real. The group will advise on product development, ethical AI standards, and cross-industry education campaigns aimed at keeping brands and public figures one step ahead of digital chaos.

“By uniting Cyabra’s cutting-edge technology with industry expertise, we will help develop the standards and tools needed to safeguard authenticity,” said Dan Brahmy, CEO and Co-founder of Cyabra.

Why This Matters Now

The council's formation couldn’t be timelier. From AI-generated tracks mimicking musicians without consent to deepfake celebrity endorsements and fake corporate news triggering real market turmoil, the digital landscape is being weaponized at scale. Even household brands like Starbucks have fallen victim to fabricated executive announcements and coordinated disinfo campaigns.

Cyabra’s tools aim to detect and neutralize such threats before they spiral, offering real-time monitoring to brands, public figures, and partners across industries.

Who’s on the Council?

• Jonny Bentwood – Global communications strategist and data expert at Golin (IPG).

• Mike G – UTA partner representing stars like Cardi B and Lil Wayne.

• Arthur Stark – Ex-Bed Bath & Beyond president with deep retail and brand experience.

• David Wander – Roc Nation’s digital chief, leading strategy across music, sports, and entertainment.

As AI-generated content continues to blur the line between fact and fiction, Cyabra’s latest move is a call to action: protect authenticity, or risk letting digital manipulation rewrite reality.

Coming Soon: Public Debut via SPAC

This initiative follows news of Cyabra’s upcoming public debut through a merger with Trailblazer Merger Corporation I (NASDAQ: TBMC), signaling broader ambitions to scale its influence in the fight for digital truth.

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The convenience of mobile apps is irresistible—but so are the risks. A new survey by research firm GoodFirms highlights a growing disconnect between app functionality and user data privacy, showing that 73% of users consider mobile app permissions a serious security threat.

From demanding access to contacts and microphones to requiring unnecessary permissions, mobile apps are increasingly seen as invasive. Nearly half of the survey participants (46%) believe that many of these permissions have nothing to do with core functionality. And 13% of users go so far as to outright deny all permission requests, regardless of app needs.

Data Control Is No Longer Optional

“Mobile app users must be able to understand the nuances of mobile app security, and respond quickly to the growing data threats,” says GoodFirms. The firm emphasizes that data privacy shouldn’t be an afterthought, urging businesses to work with trusted mobile app developers who are well-versed in data security and privacy best practices.

This shift in development priorities reflects broader industry changes. Apps built today are not just digital tools—they're gateways to personal and behavioral data. The shift toward agile development, stronger security protocols, and transparency indicates that user trust is now a core feature, not a bonus.

Users Hold the Real Power

While developers have a responsibility to code securely, users still hold the keys to their own data security. GoodFirms encourages mobile users to regularly audit app permissions, deny access where unnecessary, and make full use of Android and iOS privacy settings.

In addition, experts recommend downloading only from official app stores, avoiding shady third-party sources, and reviewing privacy policies before installation. Apps should come from reputable development companies—those who publish clear security documentation and have an established track record.

Also, don’t forget the basics: keep your apps updated and don’t run outdated versions of your operating system. Many attacks prey on old vulnerabilities that have long been patched.

Why This Matters to Martech Leaders

For marketers and app developers in the MarTech space, this is more than a user concern—it’s a trust issue. Brands that neglect data privacy risk user attrition, bad press, and even regulatory penalties. In contrast, building secure, privacy-first apps can become a competitive differentiator in today’s privacy-conscious market.

As mobile apps continue to collect behavioral, location, and purchase data, the need for ethical design and transparent permissions will only grow. Trust isn’t just a checkbox—it’s a business model.

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SilentSwap, a privacy-first, non-custodial crypto swap platform, has teamed up with Own. App, a blockchain-powered social media platform, in a strategic partnership that redefines the intersection of decentralized finance and creator-led content platforms.

At its core, this collaboration enables Own. App users to seamlessly swap digital assets across blockchains—Ethereum, BNB Chain, Polygon, and soon, Solana and Bitcoin—directly from their own wallets. No third parties. No custody. No compromise on privacy.

Bringing Web3 Monetization and Crypto Privacy Together

Own. App is already ahead of the curve in social media decentralization. Designed to reward creators based on real-time engagement and merit-based content ranking, it supports five built-in monetization channels:

• Tipping

• Brand sponsorships

• Content licensing

• Own. Shops

• Tokenized rewards via $OWN

Now, by integrating SilentSwap’s wallet-to-wallet cross-chain swaps, the platform adds a new dimension to user autonomy—enabling content creators to move their earnings across blockchains without losing control or exposing personal data.

SilentSwap’s non-custodial infrastructure ensures that users stay in control of their funds at all times. This is increasingly vital as Web3 platforms face mounting pressure to offer both performance and privacy.

“Privacy isn’t a privilege—it’s a foundation,” said Shibtoshi, Founder of SilentSwap. “Together, we’re not just building bridges between blockchains—we’re building a future where users move freely, securely, and confidently across the digital ecosystem.”

Redefining Digital Ownership in the Creator Economy

With social platforms pivoting toward decentralization, Own. App is positioning itself as more than just another Web3 social feed. By empowering users to control their content, data, and now assets, it moves closer to becoming a fully user-owned ecosystem.

“This is about redefining what ownership and freedom mean in the next era of social media,” added Amir Kaltak, CEO of Own. App. “SilentSwap helps us deliver the tools that match our mission.”

The integration, slated for launch in Q4 2025, arrives at a pivotal time for the Web3 creator economy, where seamless interoperability, privacy, and decentralized tools are no longer luxuries—they're expectations.

With broad EVM compatibility from the start and non-EVM support on the horizon, SilentSwap’s functionality promises Own. App’s users a truly borderless, private, and secure transaction experience.

Implications for the Broader Web3 Landscape

This partnership is more than technical synergy—it's a reflection of evolving priorities in the decentralized world: privacy, autonomy, and creator empowerment.

As Web3 continues to challenge the norms of both finance and social media, collaborations like this one are early blueprints of platforms that don’t just talk about ownership—they build it in.

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The digital consumer intelligence leader today announced a strategic partnership with Trajaan, the global frontrunner in search intelligence. The move significantly expands Brandwatch’s capabilities, integrating real-time search data into its platform so brands can now see not just what people are saying—but what they’re actively searching for.

In short: Brandwatch is turning up the clarity on consumer intent.

Search Meets Social

Until now, Brandwatch has largely focused on analyzing consumer sentiment through social conversations, forums, and digital chatter. But with this integration, customers can overlay that social sentiment with search behavior—from Google queries and e-commerce lookups to GenAI prompts and regional demand surges.

Why does that matter? Because what consumers type into search bars often reveals deeper intent than what they post on social media.

“We’re empowering our customers to get even closer to the ‘why’ behind consumer behavior—from the questions they’re asking to the products they’re considering,” said Jim Daxner, Chief Product Officer at Brandwatch and Cision.

What’s New and Why It Matters

With Trajaan’s data woven into Brandwatch’s ecosystem, users now have access to what may be the world’s most comprehensive search intelligence dataset—spanning traditional engines, e-commerce platforms, social sites, and emerging GenAI sources.

Key unlocks include:

• End-to-End Intelligence: Brands can pair social conversation trends with actual search demand to validate signals, track market shifts, or detect unmet needs.

• GenAI Visibility: Marketers can now see how generative AI platforms recommend or represent their brand—a fast-growing touchpoint influencing purchase decisions.

• Real-Time, Geo-Localized Insights: Whether spotting early micro-trends or tracking regional brand sentiment, Trajaan’s search data enables faster reactions and more accurate forecasts.

“This is about giving brands a live feed of what people want and talk about—before it hits the shelves,” said Matthieu Danielou, CEO of Trajaan. “It’s about moving faster, spotting micro-trends earlier, and building what the market is already searching for.”

The Bigger Picture

This partnership is more than a bolt-on feature—it’s the first step in Brandwatch’s broader roadmap to deeply embed search intelligence into its core platform. For marketing, communications, and product teams, this means more predictive planning, smarter campaigns, and insight-driven decision-making.

It also reflects a growing trend in martech: merging fragmented datasets to deliver holistic, anticipatory intelligence—a capability that increasingly separates industry leaders from laggards.

With data ecosystems becoming more complex, tools like Brandwatch+Trajaan might just be what’s needed to cut through the noise—and act on the signal before your competitors even see it.

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SoundHound AI, Inc., the voice AI company traded on Nasdaq under the ticker SOUN, has announced a major rollout of its SoundHound Chat AI Automotive system. This generative AI-infused voice assistant is now live in vehicles from three major global car brands across North America—delivering a next-gen, conversationally fluid experience behind the wheel.

This marks a milestone in the evolution of in-car voice assistants, moving from basic commands like “Call John” or “Navigate home” to contextual, multi-step conversations that actually understand you.

From Command and Control to Conversation

SoundHound’s new system integrates traditional in-vehicle voice controls with generative AI, allowing drivers and passengers to go beyond robotic responses and engage in natural, human-like dialogue. Think ChatGPT, but wired into your infotainment system.

Whether it’s planning an evening in San Francisco, navigating to a stadium, checking the weather, or finding EV charging stations en route, the assistant can handle layered queries—and follow-up questions—with grace.

Here’s a real-world flow it can manage, start to finish:

• “Where do the Giants play?”

• “Where are the best seats there?”

• “Navigate there.”

• “What’s the weather like this afternoon?”

• “Find restaurants nearby.”

• “Locate charging stations along the route.”

That’s not just impressive—it’s the future of in-car convenience.

Enhancing the Driving Experience

Beyond navigation and search, SoundHound Chat AI Automotive brings in new layers of entertainment and utility. Users can tap into trip planning tools, interactive storytelling, trivia games, and even get user-friendly tips pulled from the vehicle manual. It’s infotainment with an IQ boost.

This latest integration reflects an industry-wide push to redefine the driver’s digital experience—especially as connected car ecosystems become central to brand differentiation and customer retention.

“We’re witnessing growing demand for advanced voice experiences inside vehicles,” the company noted, pointing to its earlier debut of a voice commerce assistant, which enables hands-free food ordering and brand engagement directly from the dashboard.

That voice commerce capability alone could represent a $35 billion opportunity for automakers, according to recent research cited by SoundHound.

Why This Matters

For OEMs, the implications are huge. In a market where infotainment quality increasingly sways consumer loyalty, embedding advanced, AI-native voice systems is no longer a luxury—it’s a competitive imperative.

And unlike earlier attempts at voice control that often felt clunky and rigid, SoundHound’s integration with generative AI provides context awareness, multi-step processing, and access to both cloud-based and vehicle-specific knowledge.

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In a world where speed, scale, and precision define competitive edge, Qualtrics and PureSpectrum are cutting the lag time out of market research—literally.

Qualtrics, the pioneer of experience management (XM), has partnered with PureSpectrum, a leader in data quality and market research tech, to launch next-gen synthetic research capabilities. Their shared goal? Shrink weeks of panel-based research into minutes of AI-driven insight—without compromising data fidelity or nuance.

This marks a major step forward in AI-powered market intelligence, especially as research teams seek faster, more cost-effective ways to understand dynamic consumer behavior.

The Shift to Synthetic Panels

Under the partnership, PureSpectrum will adopt Qualtrics as its exclusive synthetic panel provider, combining PureSpectrum’s expansive training dataset with Qualtrics’ proprietary AI models. The result: synthetic insights that mirror real-world sentiment, derived from vast industry-specific data.

Key outcomes companies can expect:

• Up to 50% reduction in research costs

• Time-to-insight slashed from weeks to minutes

• Expanded audience reach beyond traditional panels

For an industry built on sample accuracy, response integrity, and behavior modeling, synthetic panels represent both a disruption and an evolution—especially when built on rich, real-time datasets like those from Qualtrics and PureSpectrum.

AI-Generated Insights That Don't Feel Artificial

Qualtrics’ synthetic engine draws from its massive repository of industry-specific experience data to simulate realistic human responses. And thanks to the new partnership, it’s now being enhanced with millions of behavioral data points PureSpectrum captures daily—feeding a loop of continuously evolving, human-like insight.

“Synthetic data represents a powerful new era of market intelligence,” said Ali Rohani, Chief Transformation Officer at Qualtrics and founder of Qualtrics Edge. “With PureSpectrum, we’re unlocking AI-generated insights researchers can trust to guide business-critical decisions.”

It’s a bold claim—and one the companies back up with more than marketing hype. Their Edge Audiences offering, which blends traditional and synthetic panels, is already in use by giants like Booking.com and Google Labs, with full availability in the PureSpectrum Marketplace coming H2 2025.

Why This Partnership Matters

The challenge with most synthetic research has been fidelity—models that sound convincing, but lack the nuance and subtlety of real human behavior. According to David Butler, President of PureSpectrum, that’s changing.

“Until now, synthetic offerings have struggled because they lacked enriched, nuanced data. But with Qualtrics’ capabilities and our training data, this offering is unparalleled in reliability and precision,” said Butler.

The partnership also deepens a longstanding collaboration between the two companies. PureSpectrum is already the exclusive quantitative panel provider within the Qualtrics Platform, delivering trusted data, seamless onboarding, and platform reliability.

With synthetic research moving from theoretical to tactical, this launch puts both Qualtrics and PureSpectrum at the frontlines of a broader shift in how insights are generated, scaled, and acted upon.

And in a business world that waits for no one, that speed may be exactly what market leaders need to stay ahead of the curve.

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In a bold move that brings AI voice technology closer to mainstream development, SignalWire—the company behind Programmable Unified Communications (PUC)—has partnered with Amazon Web Services (AWS) to integrate AWS’s cutting-edge Nova Sonic voice-to-voice AI model into the SignalWire platform.

This collaboration promises to streamline the development of conversational voice apps, enabling devs to bypass telecom complexity and focus on building intelligent, human-like voice interactions.

Nova Sonic Now Speaks SWML

At the core of this integration is the introduction of a powerful new SWML (SignalWire Markup Language) verb, aptly named amazon_bedrock, which bridges AWS Nova Sonic with SignalWire’s programmable infrastructure.

With full compatibility with SignalWire's SDK, developers now have a plug-and-play way to incorporate Nova Sonic’s highly responsive, human-sounding conversational AI into any voice app, IVR system, or contact center solution.

And it’s not just about voice prompts and canned replies—Nova Sonic delivers dynamic, context-aware responses, giving developers access to the kind of fluid, back-and-forth conversations typically reserved for high-end enterprise AI systems.

Going Beyond the Basics

But this partnership isn’t stopping at voice quality.

Through SignalWire’s AI Gateway, developers can connect voice AI agents to external services, like customer support platforms, databases, or CRMs—allowing Nova Sonic-powered voice agents to look up orders, open service tickets, or execute real-time tasks during a call.

Think of it as giving voicebots not just a brain, but hands to get things done.

No-Code Agent Builder = Faster Prototyping

SignalWire also announced support for Nova Sonic in its open source Agent Builder, a visual, no-code tool hosted on GitHub that lets teams design voice agents without writing code.

The Agent Builder generates SWML configurations automatically, making it easier for developers and non-devs alike to prototype, test, and deploy voice applications within hours instead of weeks.

This fits neatly into a broader trend: companies racing to give more people access to AI tools—without needing deep dev experience or knowledge of telecom APIs.

The integration of AWS Nova Sonic with SignalWire’s PUC platform unlocks serious potential for contact centers, virtual assistants, and real-time service applications.

“This opens a new frontier of possibilities for developers and businesses alike,” said Anthony Minessale, CEO and co-founder of SignalWire. “By baking Nova Sonic into our SWML and open source tools, we’re making it easy to build intelligent voice experiences—without wrestling with legacy telecom hurdles.”

In a market increasingly shaped by real-time, AI-fueled interactions, SignalWire’s developer-first, open ecosystem approach could be a blueprint for the future of voice communications.

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