SearchStax is putting the power of generative AI directly into the hands of brands and institutions with the launch of Smart Answers, a new feature designed to transform how people interact with onsite search. Announced today, Smart Answers delivers instant, natural language summaries directly atop search results—giving users exactly what they’re looking for, faster and without the fluff.

Think Google’s AI Overviews, but built specifically for your website’s own content. That’s the experience SearchStax is aiming to deliver.

“Today’s search users expect answers, not just links,” said Sameer Maggon, Founder and CEO of SearchStax. “With Smart Answers, we’re closing the gap between modern expectations and the typical, outdated onsite search experience.”

From Keyword Chaos to Conversational Clarity

Traditional site search often leaves visitors navigating through multiple links to piece together answers. Smart Answers changes that by letting users type full, natural language questions into the search bar—and receive direct, AI-generated answers pulled from the organization’s trusted, indexed content. Each summary is cited, contextual, and built to respond to the kind of queries users are increasingly comfortable asking: long-form, nuanced, and conversational.

The feature arrives at a pivotal time: AI-native search behavior is becoming the norm. Gone are the days of typing cryptic keyword strings like “economics or finance -remote -virtual.” Today’s users ask full questions like, “What can I do with a finance degree?”—and they expect smart, precise answers in return.

Easy for Users, Effortless for Teams

Despite the complexity under the hood, Smart Answers is refreshingly straightforward to implement. Marketing and web teams get a developer-ready widget with customizable UI that can be deployed without heavy coding or infrastructure changes. It’s plug-and-play AI with enterprise-grade accuracy.

Smart Answers intelligently determines when a generative response is needed, scans the content indexed in SearchStax Site Search, and delivers a clean, digestible summary at the top of the results page. It’s built to enhance engagement, reduce bounce rates, and help users find what they need—faster.

Built for the Modern Web Experience

Key benefits of Smart Answers include:

• AI-Summarized Responses: Instant answers synthesized from your content

• Trusted, Source-Cited Summaries: Built on your indexed data

• Natural Language Support: Encourages question-based search behavior

• Increased Engagement: Higher satisfaction from intuitive, modern UX

• Low-Lift Implementation: Deployable without major site changes

The announcement also strengthens SearchStax’s partnership with Acquia, with Smart Answers integrated into Acquia Search. “It’s a powerful step forward,” said Leslie Persaud, VP of Product Management at Acquia. “Our customers can now deliver smarter, faster search experiences that align with how people expect to find information.”

The Bottom Line

In an AI-first world, traditional onsite search just doesn’t cut it. With Smart Answers, SearchStax is giving websites the tools to match the intelligence and speed of today’s leading search engines, but with the added benefit of full content control and brand alignment.

Whether your audience is students, patients, members, or consumers—Smart Answers helps them ask real questions and get real answers, without wading through a sea of irrelevant links.

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Deloitte is giving its global audit and assurance platform, Omnia, a significant AI-powered upgrade. In a move that reflects the evolving demands of audit complexity and client transformation, the firm announced the rollout of new Generative AI capabilities and a future roadmap that includes intelligent AI agents—all designed to reimagine how modern audits are conducted.

It’s a major step toward transforming audits from document-heavy retrospectives into proactive, AI-augmented processes that help auditors move faster, deeper, and smarter.

"With the rapid advancement of AI technology, the audit profession is undergoing an exciting transformation," said Dipti Gulati, CEO of U.S. Audit & Assurance at Deloitte. "These new capabilities enhance agility without compromising our focus on trust and quality."

GenAI in the Audit Trenches

The new suite of capabilities builds upon Omnia’s foundation to target real auditor pain points with GenAI-powered solutions:

• Documentation Review: GenAI scans audit files and recommends improvements in clarity and consistency.

• Financial Statement Navigation: Auditors can query draft financials in natural language to streamline tie-outs.

• Data Summarization: Pull insights from volumes of audit documents in a fraction of the time.

• First-Draft Automation: Accounting memos and audit communications are generated using intelligent prompts.

• Smarter Research: GenAI-powered tools surface guidance on complex accounting topics and improve turnaround.

• Proactive Risk Management: External data sources are scanned to flag emerging risk events in real time.

These capabilities are more than bells and whistles—they represent a practical overhaul of traditional processes, giving audit teams new speed, flexibility, and accuracy under pressure.

"These tools are not replacing auditors—they’re empowering them," said Chris Griffin, Deloitte’s Audit & Assurance talent and transformation leader. “By merging experience with automation, we’re helping professionals meet higher expectations with sharper tools.”

Next: AI Agents as Audit Assistants

Looking ahead, Deloitte is embedding agentic AI into Omnia—digital specialists that can execute tasks, remember information, and collaborate with other agents. Think of them as autonomous coworkers who don’t sleep.

These AI agents will assist with:

• Cross-source data collection

• Anomaly detection in complex data

• Audit project orchestration and workflow management

It’s an evolution toward what Will Bible, Deloitte’s U.S. leader for audit innovation, describes as an interconnected ecosystem—a “network of adaptive, cross-functional AI tools” that complements, not replaces, human judgment.

Built with Trust in Mind

All of this AI horsepower is built under Deloitte’s Trustworthy AI™ framework—ensuring responsible development, governance, and compliance. In an industry built on assurance, this framework adds an essential guardrail against GenAI’s known risks, such as hallucinations or model drift.

“We're not just bolting AI onto legacy workflows,” said Bible. “We’re reshaping what auditors can do with a platform designed for modern complexity.”

A Decade of Investment, Millions of Prompts

Omnia has evolved since its 2015 launch into Deloitte’s core audit engine—serving 85,000 professionals globally. The firm’s GenAI chatbot has logged over three million prompts in its first year, and more than 120,000 professionals have been trained via the Deloitte AI Academy™. Meanwhile, Deloitte is actively deploying agentic AI not just for clients—but internally across its own operations.

It’s this blend of infrastructure, investment, and upskilling that positions Deloitte ahead of the curve in modern audit automation.

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Zendesk just made a bold move to solidify its leadership in AI-driven customer service. The company announced the acquisition of HyperArc, an AI-native analytics startup known for its cutting-edge HyperGraph engine and real-time GenAI-powered insights. The deal positions Zendesk to reimagine its analytics offering—one that goes beyond dashboards and dives into predictive, contextual intelligence.

From Explore to Next-Gen Analytics

At the heart of this acquisition is Zendesk’s intent to move past its existing analytics product, Explore, by building a unified, GenAI-native analytics platform. That means more than just prettier charts. Think: instant insights from massive service datasets, self-serve intelligence, and predictive recommendations powered by generative AI.

“GenAI is transforming analytics,” said Shashi Upadhyay, President of Product, Engineering, and AI at Zendesk. “With HyperArc’s HyperGraph tech, we’ll unlock faster, deeper, and more accessible insights—letting customer service teams make smarter decisions without waiting on analysts.”

What HyperArc Brings to the Table

Founded by former Salesforce and Google engineers, HyperArc has carved out a niche in AI-first analytics. Its HyperGraph engine models data contextually and continuously learns from user interactions—essentially mimicking how your best analyst would draw conclusions, only at machine speed.

The system doesn’t just surface metrics; it interprets patterns, recommends actions, and adapts to new data in real-time. With HyperArc now part of Zendesk, that kind of functionality is coming to customer service teams across industries—without the steep learning curve of traditional BI tools.

“Our mission has been to turn AI into a true analytical partner,” said Zuye Zheng, CTO and Co-Founder of HyperArc. “Joining Zendesk means scaling that mission to hundreds of thousands of businesses, helping them unlock a new era of customer intelligence.”

Industry Impact: Analytics That’s Actually Useful

This isn't just about adding bells and whistles to Zendesk's data suite. It's about setting a new industry benchmark for AI usability in analytics. While other platforms dabble in GenAI integrations, Zendesk now has the infrastructure—and team—to go full throttle.

HyperArc’s team, including co-founders Tristan and Zuye, will join Zendesk and continue developing the tech, indicating this isn’t an acquihire—it’s a platform play.

By integrating HyperArc’s capabilities, Zendesk is aiming for:

• Faster time-to-insight through GenAI-driven exploration

• Democratized data access—any support agent or team lead can ask natural-language questions

• Real-time decision support based on live service data

• Scalability for enterprise environments without requiring a data science team

What’s Next for Zendesk Customers?

Expect a gradual rollout: enhancements will begin appearing soon in Explore, with a roadmap toward a full next-gen analytics platform. The goal is to make GenAI-driven intelligence accessible out of the box—no training, no tinkering, just faster answers and better decisions.

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Sitecore, a leader in digital experience platforms, is doubling down on its agentic AI ambitions with a new strategic partnership with Gradial, an AI-native marketing orchestration company. Announced today, the collaboration promises to automate the execution layer of digital campaigns—turning marketing briefs into live, personalized campaigns with minimal human handoffs and zero technical bottlenecks.

This isn’t just another AI integration; it's an infrastructure-level shift aimed at marketers who are drowning in fragmented tools, redundant workflows, and sluggish turnaround times.

A New Era: AI That Doesn’t Just Suggest—It Acts

While most marketing platforms sprinkle AI into dashboards for predictions or personalization, Sitecore and Gradial are pushing into agentic AI territory: systems that can take action on behalf of the user. Their joint vision is to eliminate the operational drag by embedding intelligent automation directly into the campaign delivery layer.

“Their AI-powered orchestration capabilities enhance Sitecore’s composable DXP by automating the execution layer marketers need most,” said Eric Stine, CEO of Sitecore. “This means smarter campaigns, delivered faster—and anchored in creativity and brand purpose.”

Gradial’s orchestration engine acts like an always-on execution partner, integrating directly with Sitecore’s digital experience stack to automate the messy middle of marketing: turning briefs into deployment-ready campaigns without the tickets, delays, or tool-switching that usually come with the territory.

From Strategy to Execution, Minus the Chaos

Let’s face it: today’s marketing tech stack is a patchwork. Even with cloud-based content hubs and composable platforms, the final step—getting campaigns launched—is often the slowest. Gradial views this as a systems problem, not a staffing one.

“We see content ops as a systems challenge—complex, dynamic, and in need of intelligent automation,” said Doug Tallmadge, CEO of Gradial. “By partnering with Sitecore, we’re enabling marketing execution that’s scalable, precise, and deeply human.”

This partnership promises to offload the repetitive labor while preserving strategic oversight, allowing marketers to lead with insight, not infrastructure.

Strengthening the Bench for AI-Driven Growth

To support this next phase of evolution, Sitecore is also announcing new leadership hires, each with deep AI and cloud transformation credentials:

• Michael Bannon, former CFO, steps up as President and Chief Administrative Officer, overseeing strategy, finance, legal, and enterprise tech.

• Michelle Boockoff-Bajdek joins as Chief Marketing Officer, bringing AI credibility from her time as CMO of IBM Watson and IDC. Expect big moves around purpose-led growth and GenAI integration.

• Dave Tilbury, formerly of Capgemini, becomes Chief Operating Officer, taking charge of customer-facing functions including sales, customer value, and revenue ops.

Together, they’ll lead the charge in turning Sitecore into the go-to platform for AI-powered, marketer-first digital experience delivery.

Looking Ahead: AI as a Creative Partner

The Sitecore–Gradial partnership is a clear signal that AI in marketing is moving beyond insight and into execution. And as more enterprise marketing teams aim to do more with less—without sacrificing personalization—agentic AI could become the secret weapon that allows brands to scale smart, not just fast.

The new AI-powered features and roadmap will be showcased at Sitecore Symposium this November in Orlando, where the company will share how its customers are using automation to redefine speed, creativity, and ROI.

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imagine.io, the all-in-one platform for 3D product visualization, just got a serious post-production upgrade. In a move that eliminates the need for external tools like Photoshop, the company has rolled out built-in image editing capabilities, allowing users to tweak brightness, contrast, saturation, and more—right within the platform.

For e-commerce teams, marketers, and 3D creators tired of juggling between rendering software and post-processing tools, this update brings the visual workflow full circle.

No More App Switching: Edit Renders Right Where You Create Them

The new editing tools are tightly integrated into imagine.io’s rendering interface, allowing for non-destructive, precision editing. Users can toggle between original and adjusted versions, with changes that persist across sessions. No clunky exports. No lossy file conversions. Just end-to-end control, all in one place.

“Post rendering is a critical step in the content creation journey,” said Preet Singh, CEO & Founder of imagine.io. “These new editing capabilities empower users to achieve studio-quality results in seconds—all without leaving the imagine.io ecosystem.”

Feature Highlights That Matter

• Non-Destructive Editing: Flip between original and edited states with a single click—edit fearlessly.

• Precision Controls: Adjust brightness, contrast, sharpness, hue, saturation, and more using responsive, real-time sliders.

• Persistent Edit States: Your changes stay saved across sessions with intuitive save/reset controls to simplify iteration.

• Optimized Accessibility: Enhanced keyboard support and performance improvements deliver a snappy, inclusive UX.

For brands that work with large libraries of 3D assets—or frequently adjust visuals to meet platform-specific guidelines—this feature is more than a convenience. It’s a productivity booster.

Why It Matters for Visual Storytelling

imagine.io’s new editing tools cater to a fast-growing demand in e-commerce and digital marketing: agile content creation. Brands need to produce high-quality visuals faster, across more platforms, with fewer handoffs. By keeping the entire rendering and editing pipeline under one roof, imagine.io gives users the power to scale content without scaling complexity.

This launch also marks a deeper play into the visual storytelling space, where speed, quality, and accessibility are now must-haves—not luxuries.

Available Now to All Users

The new post-production editing suite is live and available immediately for all imagine.io users. It reflects the company’s commitment to simplifying 3D content creation without compromising quality, and helping modern brands build better visuals—faster.

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Brand Networks (BN), the Augeo-owned digital advertising innovator, is making paid media radically easier—and more accessible—for small and mid-sized businesses. Today, the company introduced Aimy, an AI-powered advertising assistant that helps users plan, launch, optimize, and analyze ad campaigns across Google, Meta, X (formerly Twitter), and soon LinkedIn and TikTok, all with minimal input and zero media-buying experience required.

Billed as the first solution of its kind, Aimy is now available for early access.

Advertising Without the Complexity

For most SMBs, digital advertising often feels like a high-stakes maze: multiple platforms, shifting algorithms, confusing metrics, and tools that seem built for agencies—not local teams. Aimy flips the script by offering a goal-based, AI-guided experience that handles everything from targeting and creative suggestions to real-time performance tuning.

“Aimy isn’t here to replace creativity—it’s here to remove barriers,” said Mike Garsin, CEO of Brand Networks. “We’re giving lean teams access to media tools that used to be reserved for big budgets and expert operators.”

Key Features of Aimy

• AI-driven campaign planning based on business goals

• Automated creative suggestions with live previews

• Cross-channel media buying (Google, Meta, X, with LinkedIn and TikTok next)

• Real-time pacing alerts and continuous optimization

• Custom reporting dashboards tailored to campaign objectives

• Insights backed by 15+ years of BN’s media buying data and benchmarks

It’s not just for SMBs either—Aimy is scalable, designed to support agencies, enterprise platforms, and large brands managing multiple local campaigns.

A Legacy of Innovation, Extended to the Long Tail

This isn’t BN’s first rodeo. The company has been pushing the limits of ad tech since 2007—pioneering automated cross-channel optimization, developing ad products for X (like media polls and conversation cards), and launching hyperlocal targeting solutions for programmatic and social.

With Aimy, BN is extending its capabilities to a previously underserved audience: businesses without media teams, but with serious ambitions.

Mobile-First, Performance-Forward

Aimy is also optimized for life on the move. Users can launch and manage campaigns from desktop or mobile, get real-time alerts, and make changes on the fly—ideal for small business owners who don’t have time to sit in dashboards all day.

As AI continues to reshape digital marketing, Aimy represents a refreshing take: less hype, more help. It’s not trying to do everything—it’s trying to do the things that matter, and do them well.

Available now in early access, Aimy might just be the assistant that levels the media playing field—giving every business, no matter its size, a shot at running smart, high-performing campaigns without the usual overhead.

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DeepSwap, a fast-rising player in the AI video generation space, just dropped a serious gauntlet. With a slate of new proprietary technologies and benchmark-shattering performance, the company is positioning itself as a go-to platform for high-fidelity, long-form AI video content—without the janky face flickers, motion jerks, or uncanny visuals that plague competitors.

And yes, it’s turning heads—literally and figuratively.

Character Consistency Hits 96.2%—A New Industry Benchmark

One of the thorniest challenges in AI-generated video is keeping the same face consistent across frames—especially when that face is in motion. DeepSwap claims it has cracked that nut with a proprietary duo:

• Dynamic Feature Disentanglement (DFD)

• Deep Facial Fusion (DFF)

Together, these systems deliver a 96.2% character consistency rate, ensuring a person’s digital likeness stays true to their real-life identity throughout a video.

“With 96.2% face-ID consistency, users can trust their digital self to look like... well, themselves,” said Penyne Wu, CEO and Co-Founder of DeepSwap AI. “This is a quantum leap for anyone who cares about realism—especially in professional use cases.”

Text Prompts That Actually Work

AI tools that promise text-to-video often leave users guessing what they'll get. DeepSwap claims a 93.4% text-to-video alignment, meaning the visuals closely match user instructions. This tight alignment reduces the trial-and-error loop that frustrates creators and significantly speeds up production cycles.

Visuals Worthy of the Big Screen

With a mean visual quality index of 98.7, DeepSwap’s generated clips reportedly rival professional cinematography. That’s not hyperbole—it’s the result of an end-to-end optimization pipeline that ensures everything from lighting to pixel detail hits near-cinematic fidelity.

Couple that with 98.3% feature preservation—even in high-motion sequences—and the result is broadcast-ready AI content.

More Than Just a Short Clip Generator

Where many AI video platforms cap out at a few seconds of usable content, DeepSwap can deliver up to 20 seconds of continuous video—without stitching artifacts. That opens the door for:

• Longer-form storytelling

• In-app marketing videos

• Personalized content for education, entertainment, or commerce

And it all happens inside one platform.

Face-Swap 2.0: Seamless and Stable

Face-swapping is DeepSwap’s legacy play, but the new system doesn’t just swap—it integrates. The updated module maintains the same 96.2% character consistency, allowing seamless face placement across different scenes, lighting conditions, and even complex movements. Think more Hollywood deepfake, less meme generator.

Stability, Physics, and Camera Control—No Compromises

• 99.5% pixel stability

• <0.5% flicker rates

• 97.8% realism in physics rendering

• 98.7% motion smoothness with low jerk ratings (<2%)

• Sub-0.05° precision in pan, tilt, and zoom

Together, these numbers paint a picture of a platform not just built for fun, but one that can handle professional-grade production requirements.

Why This Matters

As the demand for video content explodes—across marketing, education, training, and entertainment—the ability to generate long, realistic, brand-safe videos without a full production team is a game-changer. DeepSwap’s technology is positioning the platform to:

• Disrupt traditional video workflows

• Serve as a creative engine for agencies and brands

• Power personalized content at scale

Enterprise clients eyeing cost savings without compromising production value will find DeepSwap’s offering particularly compelling.

With this release, DeepSwap doesn’t just join the AI video race—it leads it.

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Coveo is doubling down on relevance in AI with a strategic expansion of its partnership with Salesforce—and it’s making a bold push into the future of autonomous digital labor. Announced today, Coveo is bringing its Model Context Protocol (MCP) Server to Salesforce’s AgentExchange, helping AI agents access trustworthy, real-time enterprise data and dramatically cut down on the hallucinations that still haunt generative AI platforms.

In an AI economy where interoperability, governance, and trust matter more than ever, Coveo’s latest move signals a serious step forward in making autonomous agents both useful and business-ready.

Why This Matters: Hallucination-Free AI at Scale

AI agents are only as good as the data they’re grounded in. The Model Context Protocol (MCP)—a Salesforce-driven standard—is designed to help AI agents pull in external data securely and accurately, while ensuring centralized governance and interoperability.

With the new Coveo MCP Server on AgentExchange, enterprise users can link their agents to real-time business data—product catalogs, inventory, customer purchase histories, and more. The result? Smarter, hallucination-resistant AI agents that aren’t just impressive—they’re actually useful in the day-to-day flow of work.

“The future of AI lies in modular, scalable, and standards-based systems,” said Patrick Finn, VP of Alliances at Coveo. “We’re empowering enterprises to build reliable AI agents grounded in real business context.”

What’s Included:

• Coveo MCP Server for AgentExchange (coming soon): Connects enterprise tools and systems to AI agents via the MCP protocol

• Coveo for Agentforce (already live): An application that simplifies how end-users interact with intelligent agents by making search and task completion faster and more intuitive

• Salesforce AgentExchange: A new ecosystem that helps enterprises build, deploy, and scale AI agents with access to pre-validated MCP servers and plug-and-play capabilities

Together, these tools enable companies—especially in e-commerce—to automate high-volume interactions with contextual intelligence. Think AI agents that:

• Recommend products based on live inventory

• Track shipping or handle returns in real-time

• Automate merchandising decisions using data from past performance

For E-Commerce and Beyond

For online retailers, the expanded partnership means fewer disconnected workflows and more responsive customer experiences. AI agents connected via MCP can personalize interactions, predict behavior, and resolve queries—all without escalating to a human rep unless necessary.

Beyond retail, the tech has implications for industries like finance, healthcare, and enterprise services, where secure access to context-rich data is essential for AI to be effective (and compliant).

“Coveo is at the forefront of grounding GenAI and Agentic AI systems in enterprise knowledge,” said Brian Landsman, CEO of AppExchange and Global Partnerships at Salesforce. “Their MCP integration brings scalable, secure digital labor one step closer to reality for our customers.”

The Bigger Picture: Building a Multi-Trillion Dollar AI Agent Economy

Salesforce has made it clear: AgentExchange and Agentforce are key pillars in its GenAI strategy—a bid to capture a slice of what’s expected to be a multi-trillion dollar “AI agent economy.” Coveo’s deep experience in AI-powered search, personalization, and enterprise knowledge access makes it a natural partner in this emerging landscape.

With this expanded integration, the two companies aim to close the loop between AI performance and enterprise trust, offering customers tools that work intelligently—without guesswork.

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