iHomefinder, the real estate tech company behind the AI-powered Max™ Growth Operating System, has appointed seasoned product executive Cale Bruckner as its new Vice President of Product. The move reflects iHomefinder’s sharpened focus on AI-driven automation and smarter lead engagement for real estate and mortgage professionals.

Bruckner brings more than 25 years of product innovation experience, including a stint as President of Concentric Sky, where he led award-winning AI initiatives adopted by Fortune 500 firms and global institutions. From startup scrappiness to M&A integrations, Bruckner has operated across the full spectrum of product lifecycle and scale.

Now, he’s stepping into a space that’s both high-touch and high-tech: the everyday workflows of real estate agents and lenders navigating one of the most volatile markets in years.

“Cale's blend of technical rigor and customer empathy is exactly what Max needs for its next chapter,” said Nick Parmenter, President of iHomefinder. “He has a proven ability to turn emerging technology into products agents actually use—and love.”

From Dashboards to Real-Time Intelligence

Max™, iHomefinder’s AI-powered platform, promises more than just lead tracking—it aims to be a real-time intelligence layer for agents and loan officers. Bruckner’s appointment is expected to accelerate Max’s evolution into a true growth operating system, one that seamlessly fits into mobile-first workflows and provides actionable insights exactly when agents need them.

“Agents don't need more dashboards—they need intelligence that shows up at the right moment,” said Bruckner. “iHomefinder has the data and the vision to deliver that, and I'm excited to help unlock the next wave of innovation.”

Expect the roadmap ahead to lean into predictive insights, adaptive automation, and tighter integrations—especially in a landscape where timing and personalization can make or break a deal.

The Competitive Context

As the proptech and mortgage tech sectors become increasingly crowded with AI buzz, Bruckner’s hire signals that iHomefinder isn’t just playing with the latest tools—it’s betting on practical AI that solves day-to-day problems. While others tout abstract solutions, iHomefinder is focused on utility: using automation to nudge deals forward, not bury agents in complexity.

The appointment also underscores a broader trend: AI product leadership roles are becoming core to how SaaS companies scale their next growth phase. With data-rich verticals like real estate ripe for disruption, Bruckner’s role could define not just the future of Max, but the evolving expectations of digital-first agents and brokers.

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In a bold challenge to the outdated foundations of marketing measurement, Prescient AI has launched what it calls the first new model architecture since the dawn of marketing mix modeling (MMM) in the 1960s. And it’s not a retrofit. Built entirely from scratch, Prescient’s platform is rewriting the rules of media attribution, campaign forecasting, and spend optimization—with a level of accuracy and insight that legacy models can’t touch.

Marketing leaders have long struggled with lagging MMM frameworks—clunky, correlation-heavy models based on regression math designed for simpler times. Prescient’s new engine replaces these blunt tools with what it dubs a “decision intelligence” platform—capable of parsing today’s high-speed, high-complexity media environments with precision.

“Prescient’s model sets a new benchmark for insight and forecasting accuracy,” said David Baker, Chief Digital Officer at Beekman 1802, adding weight to the claim. Baker, who’s worked with MMM systems for over 15 years, calls the technology “true innovation,” not just an incremental upgrade.

Built From Scratch, Because the Old Math Just Doesn’t Cut It

Rather than polish up dated regression models like most modern MMM providers, Prescient's team made the radical decision to start from zero. CTO and cofounder Cody Greco explained why: “We put every available open-source model to the test... and realized building on them would limit us. So we started over.”

That blank-slate mindset paid off. Prescient’s new model isn’t just about seeing what worked—it’s about uncovering why it worked. It identifies cause-and-effect relationships between campaigns and outcomes, handles multi-touch dynamics with daily granularity, and accounts for real-world marketing behaviors—like halo effects, nonlinear ad saturation, and channel interdependence.

What the Model Delivers

Prescient’s reimagined platform brings together some powerful new capabilities, already live:

• Retail Attribution: Unlike traditional models that treat channels as silos, Prescient tracks media influence across direct-to-consumer (DTC), wholesale, retail, and Amazon. Marketers get a unified view of where media spend actually converts, and how campaigns amplify each other.

• Granular, Daily Forecasting: Campaign-level performance is refreshed daily, not monthly or quarterly—allowing agile optimization at a pace that reflects today’s digital environments.

• Cause, Not Just Correlation: The model goes beyond pattern-spotting to detect true causality in media impact, allowing marketers to act on insights, not assumptions.

• Adaptive Efficiency Modeling: Instead of assuming a linear relationship between spend and return, the platform recognizes that each channel, brand, and campaign has its own efficiency curve.

• Agnostic Data Ingestion: Brands can feed in third-party measurement data from MTA, incrementality tests, MMM tools, or even post-purchase surveys. The model doesn’t dictate the “right” source—it validates all of them for consistency, transparency, and insight quality.

Independent by Design

Prescient’s independence may be its biggest strategic asset. As major ad platforms bolt MMM into their broader offerings, they often blur the line between measurement and media sales. Prescient, in contrast, takes no media dollars—giving brands confidence that insights and recommendations aren’t biased by a vendor’s agenda.

“Optimizing paid media with incomplete data is like flying blind,” said Connor Rolain, Head of Growth at HexClad. “Prescient gives us a complete, daily-updating picture of what drives sales across our ecommerce store and Amazon. This next evolution of the model lets us do the same for retail—and that's a game-changer.”

The Future of Decision Intelligence

Fresh off being named Predictive Modeling Solution of the Year by the 2025 AI Breakthrough Awards, Prescient is eyeing a broader application for its platform. While marketing optimization is the first battlefield, its architecture has potential well beyond media—into finance, supply chain, and any domain where predictive agility is now a business imperative.

In an industry defined by borrowed math and outdated benchmarks, Prescient’s proprietary model offers something rare: a truly new foundation for faster, smarter, and more confident marketing decisions.

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In a major step toward redefining customer experience in the AI era, Cyara has officially launched its next-generation CX assurance platform—a unified solution designed to help enterprises deploy AI at scale, prevent costly customer experience failures, and accelerate innovation across all engagement channels.

With fragmented tools and manual QA processes still hampering many CX efforts, Cyara’s platform offers a tightly integrated suite that combines AI validation, real-time performance monitoring, and no-code test automation into a single enterprise-grade solution. The goal? Replace the patchwork of legacy systems and provide consistent, high-quality CX across voice, digital, and generative AI-powered channels.

“We created the CX assurance category—and now we’re redefining it,” said Cyara CEO Rishi Rana. “These innovations represent the most complete and trusted enterprise-grade CX assurance available today.”

Scaling Global CX, One Carrier at a Time

Cyara's global footprint is expanding fast. Its Pulse 360 engine now spans over 360 carriers in 120+ countries, providing enterprises with unmatched visibility into real-world CX quality and AI system behavior. That scale helped Pulse 360 earn a Customer Magazine Product of the Year Award, validating its status as a go-to for global enterprises managing massive, distributed CX networks.

Built for the AI-First Enterprise

With generative AI rapidly reshaping the customer service landscape, Cyara is leaning into the shift with three headline features aimed at boosting trust, productivity, and safety in AI deployments:

• AI Trust: Cyara’s award-winning validation suite for GenAI-powered interactions helps detect hallucinations and brand-damaging responses through FactCheck and Misuse modules. In just six months, it’s analyzed over 500,000 AI-generated replies, reducing manual QA effort by 80%. Fortune 50 firms are already embedding it into their pipelines to meet rising compliance and safety standards.

• Cyara Agent Assist Assurance (AAA): As Agent Assist tools proliferate, Cyara AAA is the first purpose-built solution for validating their real-time performance. It ensures AI-guided support tools are accurate and contextually helpful—critical for high-stakes sectors like banking and healthcare.

• Cyara Copilot: An agentic AI companion that offers contextual guidance directly within the Cyara platform—and even inside Slack—Cyara Copilot helps QA and CX teams get from problem to solution faster, dramatically improving time-to-insight.

Leading the Shift to Agentic AI

As AI evolves from reactive tool to autonomous partner, Cyara is laying the groundwork for the next wave: Agentic AI. Unlike basic bots, agentic systems can flag compliance issues, adapt workflows in real time, and continuously learn—delivering CX improvements without constant human direction.

Industry signals are aligned. Deloitte projects that 25% of GenAI adopters will deploy AI agents by 2025, and that number will double by 2027. Cyara's next-gen architecture, anchored by AI Trust, Copilot, and AAA, is built for exactly this future.

Test Automation That Anyone Can Use

No-code is no longer a nice-to-have—it’s an expectation. Cyara’s Test Case Designer brings visual, no-code test creation to CX professionals, streamlining testing and empowering teams outside of engineering. Already used by more than 100 enterprise teams, it’s been a game-changer for collaboration and speed.

And for teams seeking more than dashboards, Intelligent Insights turns CX data into real-time intelligence—allowing businesses to identify performance gaps and act immediately. A leading U.S. healthcare provider described it as “immediate value,” while a major bank noted how it clarified process improvements without any steep learning curve.

The Bottom Line

In a CX world defined by increasing complexity and AI integration, Cyara’s next-gen platform doesn’t just keep pace—it’s built to lead. With unified testing, real-time monitoring, and powerful AI guardrails, the platform gives global enterprises the confidence to scale innovation without risking customer satisfaction.

For businesses navigating a fast-changing CX landscape, Cyara may just be offering what the industry needs most: visibility, speed, and trust—at scale.

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In a world where a single cloud outage or cybersecurity lapse can paralyze enterprise operations, GlobalMeet is stepping up with a solution designed for the new era of business continuity. The company today announced CORE (Communications and Operational Resiliency), a turnkey platform engineered to keep communication flowing when it matters most—during system failures, security breaches, or any disruption to primary communication channels.

Available as both an annual service and on-demand event offering, CORE is built on GlobalMeet’s private streaming infrastructure and more than two decades of experience in mission-critical communications. The goal: ensure executive teams, employees, and stakeholders can securely and reliably deliver high-stakes messages at scale, regardless of the status of their primary tools.

No App, No Problem: Secure Communication When Platforms Fail

With no software to install, CORE bypasses the friction common with traditional platforms. It provides access through the internet or even traditional phone lines—ensuring delivery when other systems fail. As Trent Waterhouse, CMO of GlobalMeet, put it:

“The frequency of problems with popular video conferencing platforms is driving CIOs, CISOs, and corporate communications leaders to seek a reliable, scalable, and secure alternative.”

That’s not an exaggeration. From Zoom outages to Teams degradation during critical company meetings, disruptions are increasingly common—and expensive. In industries like aviation, healthcare, energy, or financial services, downtime can cost millions per hour.

CORE aims to be the safety net that keeps communications intact, even as your primary stack falters.

Full-Service, From Setup to Execution

This isn’t just another platform; it’s a communications continuity program. CORE includes:

• Onboarding, scenario planning, and practice sessions

• Network testing and presenter coaching

• Built-in transcription, captioning, and multilingual translation for accessibility and compliance

• Robust analytics covering engagement, attendance, Q&A, polling, and collateral downloads

The system also supports SSO and CRM integrations, so only the intended audience—whether employees or external partners—can access sensitive briefings.

And when it’s go-time, you’re not alone. GlobalMeet provides 24/7 tech support and seasoned event producers to ensure delivery runs without a hitch.

Meeting Regulatory Demands with Built-In Resilience

Enterprises are also facing rising pressure from regulators to embed operational resilience into core functions. Frameworks like the EU Digital Operational Resilience Act (DORA) and the UK FCA/PRA requirements are no longer optional, especially in sectors like banking, utilities, and tech.

Ken Roberts, CTO of GlobalMeet, summed it up:

“Large enterprises must invest in proactive measures to ensure communication remains uninterrupted when primary systems are compromised.”

By enabling pre-approved message templates, clear chains of command, and omnichannel capabilities, CORE helps organizations stay audit-ready while staying connected.

A CXO-Ready Answer to a Growing Risk

The broader message here is simple: your communications strategy needs a contingency plan—and GlobalMeet CORE is aiming to be the gold standard.

Whether the risk comes from geopolitical instability, cybercrime, or platform outages, CORE gives companies the confidence to communicate without interruption. For executive leadership that increasingly must weigh travel risks and platform reliability, it’s not just a backup—it’s a mission-critical asset.

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PebblePost, known for pioneering Programmatic Direct Mail, is stepping into the connected TV spotlight—literally. Today, the company launched Performance CTV, a major platform expansion that brings its outcome-obsessed performance marketing philosophy to the booming $33 billion CTV landscape.

For a sector often stuck in awareness mode, this could be a game-changer. Rather than chasing impressions or relying on click-through proxies, PebblePost’s new CTV product zeroes in on incremental revenue and verified ROAS—the metrics that actually move the needle for marketers.

"CTV has traditionally been viewed as a top-of-funnel awareness tool, but marketers today need more than eyeballs—they need results,” said Jacob Ross, CEO of PebblePost. “This is performance marketing, redefined for the TV screen.”

From the Mailbox to the Living Room

Backed by over a decade of innovation in Programmatic Direct Mail, PebblePost’s Performance Marketing Engine is now powering screen-based campaigns for major retail, travel, financial services, and commerce brands. But instead of relying on flimsy digital signals, PebblePost is leaning on $100B+ in verified transactions and high-intent CRM data sourced from hundreds of top brands.

The PebblePost Difference: Real People, Real Results

While many CTV solutions still chase vanity metrics, PebblePost is building its product on three differentiators:

• Scalable Identity Resolution: With an 80% match rate across U.S. streaming households, PebblePost maps online and offline signals to real people—not anonymous cookies—enabling precise targeting and attribution.

• Granular Targeting with Verified Purchase Data: No guesswork here. Audiences are created using real transaction data—not proxies like clicks or interests—and updated daily with real-time intent signals. AI-driven models continually re-score households to stay in step with shifting consumer behavior.

• True Incrementality Measurement: Every campaign includes a holdout group, enabling marketers to isolate actual lift. PebblePost also integrates with leading measurement providers to deliver third-party validation and complete transparency.

Proven Performance in the Wild

If you're wondering whether all this adds up to impact, ask Blue Nile. After success with PebblePost’s direct mail programs, the company tested Performance CTV and found it delivered the highest incremental ROAS of any channel in a head-to-head internal test.

“We’re excited to continue leveraging PebblePost's innovative approach to connect with our audience in impactful ways,” said Megan Sturdivant, Senior Director of Marketing at Blue Nile.

Rethinking CTV as a Performance Channel

CTV’s meteoric rise has been marred by fragmentation and identity challenges, often leaving marketers with high reach but unclear returns. PebblePost’s entry comes at a pivotal moment—offering a solution that treats CTV not as a digital billboard, but as a performance-driven channel where every impression is measured against business outcomes.

In doing so, PebblePost is not just expanding into streaming—it’s aiming to reframe how CTV is used altogether.

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Attain, a leader in permissioned commerce data, is giving marketers a serious upgrade with its relaunch of OutcomeHQ—a unified platform that turns $700 billion in verified consumer spend into real-time, actionable insight. No more guesswork. No more post-campaign regrets. With OutcomeHQ, brands can plan smarter, activate faster, and optimize campaigns while they’re still in flight.

Once known mostly for outcomes measurement, Attain has expanded its mission. OutcomeHQ now combines audience building, performance optimization, retail intelligence, and sales lift measurement into a single, intuitive interface. Think of it as an operating system for outcome-driven media.

"OutcomeHQ isn't just about data—it's about what marketers can do with it," said Brian Mandelbaum, CEO of Attain. “We’re moving from retrospective analytics to real-time decisioning. That changes everything.”

A Platform Built for Today’s Marketer

The revamped OutcomeHQ delivers three standout features:

• Premium Insights: Real-time, always-on purchase intelligence across Amazon, Walmart, Target, and thousands of other retailers—no longer gated behind custom reports or third-party vendors.

• One Click Audiences: Turn any insight into a targetable audience with a single click. With integrations across Meta, TikTok, The Trade Desk, and 20+ others, activation is immediate and platform-agnostic.

• AI-Powered Planning: Ask OutcomeHQ to build audience strategies using natural language prompts or PDFs. Whether it's “tech dads who buy Starbucks weekly” or custom behavioral cohorts, the system returns verified insights and recommended plans—fast.

Real Purchases, Not Proxy Signals

Most platforms still rely on digital intent signals or modeled data to inform strategy. Attain plays a different game. Its edge comes from actual, verified purchases made by 10 million+ permissioned consumers, representing over $700 billion in annual spend.

And it’s not just raw volume—it’s what the data reveals: recency, frequency, brand-switching behavior, psychographics, and more. That depth gives marketers what they’ve always wanted: the ability to understand who their customers are, what they’re buying, and why.

Michael Treon, Head of CTV & Video Strategy at PMG, praised the platform’s ability to turn complex datasets into clear, immediate value:

“The speed and accuracy of insights—especially around switching behavior and recency—are a big leap forward. OutcomeHQ gives us an end-to-end view that’s both actionable and precise.”

A New Operating Model for Media

OutcomeHQ’s power lies not just in its data, but in its integration across teams. Planning, analytics, activation, and measurement can now work in sync from one system—with shared visibility and aligned goals. No more fragmented workflows or delayed performance reads.

It also removes the dependency on external measurement vendors, which often add latency and cost. Brands now have direct, immediate access to data that ties media investment to actual sales—as they happen.

Bigger Picture: Reshaping the Data Economy

Attain’s broader strategy with OutcomeHQ goes beyond platform functionality. It’s about building a more equitable, permissioned data-sharing ecosystem, one that puts power back in the hands of marketers and consumers—rather than opaque intermediaries.

In a privacy-centric future where third-party cookies and modeled guesswork are fading fast, platforms like OutcomeHQ could define the new standard: real signals, real shoppers, real results.

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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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