Marchex is doubling down on its AI strategy—and eyeing a major expansion of its business model. The conversational intelligence company reported third-quarter 2025 earnings while revealing an agreement in principle to acquire Archenia, a fast-growing customer acquisition platform built on AI-verified outcomes.

The move signals Marchex’s push beyond insights and analytics into a broader, vertically aligned AI-driven outcomes ecosystem—one the company believes will redefine how enterprises qualify, convert, and measure customers across channels.

Q3: Revenue Dip, But Strength in Bookings and EBITDA

For the third quarter ended September 30, 2025, Marchex delivered results that show a business in transition but tightening its operational discipline.

Q3 2025 financial highlights:

• Revenue: $11.5M, down from $12.6M YoY

• Net loss: $1.0M (flat at $(0.02) per share)

• Adjusted EBITDA: $0.6M vs. $0.3M YoY

• Adjusted EBITDA ex-reorg costs: $1.1M

• Adjusted non-GAAP EPS: $0.00 vs. $(0.01) YoY

While the company continues to experience revenue migration dilution tied to its ongoing platform overhaul, it’s seeing strong traction in sales activity.

Troy Hartless, president of Marchex, highlighted that Q3 brought the highest sales bookings of the year, adding:

“As we near completion of our technology platform migration, we improved Adjusted EBITDA to $1.1 million—up roughly 50% from Q2—and we believe we’re gaining visibility into sustainable sales growth heading into 2026.”

Marchex expects Q4 revenue and EBITDA to be sequentially lower due to seasonality and final migration impacts, but says bookings momentum and new product launches are setting up 2026 for a return to growth.

2026 Outlook: Growth Returns—and Margin Expansion

Marchex is projecting a 10% revenue growth run-rate in 2026, supported by:

• Expanded AI product offerings

• Completion of its platform migration

• Increased sales bookings across enterprise accounts

The company also believes Adjusted EBITDA margins could reach 10% or more next year as revenue grows and operating expenses decline.

AI Product Momentum: Benchmarks, Optimization, GPT Search, and Vertical Intelligence

If 2024 was about rebuilding, 2025 has been about launching. Marchex’s product roadmap is heavily weighted toward new AI modules designed to close the loop from insights to action.

AI Benchmarking

Launched in October, Industry Benchmarking adds competitor and industry-level KPIs inside the Key Insights Dashboard. Enterprise users can now compare performance against peers with prescriptive recommendations for improvement.

AgentAI Optimizer

Coming soon, this module evaluates the performance of third-party AI agents—an emerging but critical need as enterprises deploy large fleets of AI-driven automation tools.

Marchex Engage GPT

Expected later this quarter, this LLM-powered search engine lets businesses query their structured enterprise data using conversational prompts—a business-specific GPT built for Fortune 500-scale search.

New Vertical AI Solutions

Marchex is expanding into industries where conversations directly drive revenue outcomes.

• Healthcare AI Solution:
  Helps providers more accurately attribute patient leads, prioritize high-value appointments, and detect engagement gaps.

• Senior Living AI Solution:
  Surfaces prospect needs, improves marketing efficiency, and analyzes reasons for move-in or rejection.

Marchex says its verticalized AI models deliver “prescriptive analytics uniquely calibrated to each industry’s omnichannel conversational trends.”

The Big Move: Marchex to Acquire Archenia

The headline beyond earnings: Marchex has entered an agreement in principle to acquire Archenia, an AI-driven customer qualification and acquisition company that specializes in performance-based, outcome-driven results.

The proposed deal structure includes:

• $10M convertible promissory note at 6% interest

• Convertible at $1.80 per share

• Additional earn-out of up to 4M shares tied to revenue/EBITDA milestones across two 12-month periods

• Closing targeted for 1H 2026, pending audited financials, fairness opinion, and shareholder approval

A special committee of independent directors has approved moving forward due to related-party considerations among some Archenia sellers.

Who Is Archenia?

Archenia brings something Marchex lacks: AI-verified, pay-for-outcome conversion capabilities.

The platform:

• Uses real-time AI signals and natural-language analytics to detect consumer intent

• Validates outcomes such as appointments, sales, or high-intent conversations

• Optimizes campaigns dynamically across channels

• Serves major verticals including insurance, home services, healthcare, and automotive

Archenia estimates $17M+ in revenue for 2025 and positive Adjusted EBITDA, with roughly $14M delivered through Q3 (unaudited).

Why This Acquisition Matters

If completed, the combination would give Marchex a rare vertically integrated stack across:

1. Insights – Conversational intelligence, benchmarking, and GPT-powered analytics

2. Actions – AgentAI and AI-driven optimization

3. Outcomes – Pay-per-event conversions validated by Archenia’s AI models

This is exactly where the market is heading. As AI rewires how enterprises measure marketing, sales, and customer interactions, traditional cost-per-click or cost-per-lead models are losing relevance. Pay-per-event is rising—and Marchex wants to own the full pipeline.

Strategic upside includes:

• Larger addressable market

• Cross-sell and bundling potential

• Revenue scale approaching $60M annually

• Target growth of 15–20% in 2026

• Potential adjusted EBITDA margins exceeding 10%

The story is becoming clear: Marchex is positioning itself not just as a conversational intelligence vendor—but as a full-stack AI customer acquisition engine.

The Bottom Line

Marchex’s Q3 may look modest on paper, but the underlying signals—rising bookings, a stronger AI roadmap, and the potential Archenia acquisition—paint a picture of a company preparing for an aggressive 2026.

If the deal closes, Marchex would enter the new year with a scaled, end-to-end platform spanning insights, decisions, and outcomes—exactly the direction the AI-powered marketing and sales industries are moving.

Get in touch with our MarTech Experts.

SiteOne Landscape Supply—the only national wholesale distributor in the landscape supply market and a fixture in the professional contractor ecosystem—has picked Goodway Group as its new paid media strategy partner. It’s a notable move for a 600+ location operator that has grown largely through acquisitions and regional dominance but now wants to modernize its marketing engine to match the digital sophistication of adjacent B2B sectors.

For Goodway Group, a self-styled challenger agency specializing in measurement-led growth, the partnership is a chance to flex its full-funnel media, analytics, and customer-journey muscle in a category that has historically lagged behind other B2B verticals in digital transformation. And for SiteOne, the decision signals a shift from tactical media buying to measurable, data-informed business acceleration—particularly as the company pushes deeper into pro-heavy categories like agronomics, irrigation, nursery, lighting, and hardscapes.

The partnership begins not with a buy, but with a blueprint: a multi-phase onboarding and planning program designed to unify media, data, and creative under a single measurement framework. In other words, SiteOne is trading in disparate campaigns for a clean, centralized, accountable growth operating system.

Why This Partnership Matters Now

The landscape supply market is a fragmented, service-heavy industry where purchase decisions are influenced as much by availability and local relationships as by brand equity. Historically, media investment in this category skewed conservative—focused on trade media, sponsorships, and digital point solutions with limited attribution.

But that model is straining under emerging pressures:

• Professional contractors expect digital convenience.
  They want on-demand inventory visibility, frictionless ordering, and personalized insights across desktop and mobile—fast.

• Competitors are getting smarter with audience segmentation.
  Regional players and DTC disruptors are using first-party data and vertical AI to break into categories once dominated by legacy distributors.

• Measurement gaps limit marketing performance.
  With fragmented analytics, it’s difficult to tie media spending to outcomes such as revenue, retention, and customer lifetime value.

Goodway Group’s pitch, according to both sides, was less about channel execution and more about tearing down these silos.

“SiteOne has an ambitious vision for growth,” said Paul Frampton-Calero, CEO of Goodway Group. “We’re excited to help modernize its media strategy, connecting every investment to measurable outcomes and building scalable pathways for B2B audiences.”

That emphasis on measurable business impact—not impressions or click-through rates—aligned with SiteOne’s evolving priorities.

“We were looking for more than a media buyer,” said Erin Edstrom, Vice President of Integrated Marketing at SiteOne. “Goodway Group demonstrated that from the start. Its approach to uncovering consumer insights, passion for accountability, and customer-first approach were clear differentiators for us.”

Inside the Partnership: Media as a Business Lever, Not a Cost Center

Goodway’s work with SiteOne will include several strategic components that point toward a deeper transformation:

1. Competitive Market Analysis

SiteOne competes across multiple local markets with drastically different dynamics. What works for irrigation buyers in Arizona isn’t what moves hardscape contractors in Michigan. Goodway’s role includes dissecting these differences and mapping out where media can influence revenue at the category and location level.

2. Budget Scenario Modeling

For an enterprise with hundreds of branches, spend allocation is more complex than shifting dollars between channels. It requires modeling:

• regional category maturity

• customer mix (residential vs. commercial pros)

• historical seasonal cycles

• supply chain constraints

• competitive intensity

Goodway’s models are intended to help SiteOne understand where incremental spend yields incremental profit—something the brand has struggled to quantify in the past.

3. Full-Funnel Measurement Framework

The core of the engagement is a measurement redesign meant to tie upper-funnel brand activity to lower-funnel revenue and contract value. This includes:

• Unified KPIs across categories

• Multi-touch attribution for B2B buyer journeys

• Connection of media outcomes to CRM and sales data

• Insights on audience conversion paths

In practice, this means that if a lighting contractor in Denver sees a brand video, downloads a spec sheet three weeks later, and places a bulk order two months after that, SiteOne will actually be able to see the influence of its media spend on the deal.

3. Customer Journey Simplification

Professional contractors move quickly and often default to the distributors who save them time. SiteOne wants to build loyalty not by broadcasting more ads but by removing friction from discovery, ordering, and service. Goodway’s role here includes:

• Identifying attention breakpoints

• Creating clearer paths between interest and purchase

• Personalizing messaging by professional segment

• Coordinating creative and data to reduce noise and increase conversion

In short, the agency is trying to engineer repeatable, scalable loyalty rather than one-off wins.

What Makes This Partnership Different?

Most agencies in SiteOne’s space focus on digital execution—programmatic, paid search, or social. But Goodway is positioning itself as a transformation partner, emphasizing measurement-driven modernization and full-funnel accountability.

A few factors make this move stand out:

A Step Toward B2B Media Maturity

The pro landscape market is not traditionally a hotbed of cutting-edge media strategy. Bringing in an agency known for sophisticated measurement frameworks signals SiteOne’s intention to modernize the category.

A Tight Connection Between Media and Revenue

SiteOne is not just funding ads—it’s building a system where media and revenue performance are threaded together. That shift mirrors what we’re seeing across B2B sectors like manufacturing, logistics, and construction technology.

The Timing Is Ideal

With digital adoption rising among contractors, and the industry facing supply chain challenges and competitive disruption, the opportunity to use smarter media to shape loyalty is larger than it was even two years ago.

The Market Trend: B2B Brands Race to Modernize Media

Goodway’s win reflects a broader shift in B2B advertising. As AI-powered analytics, intent data, and first-party data standardization accelerate, B2B brands are rethinking how they track and optimize customer journeys.

Three trends stand out:

1. AI-Driven Personalization Moves from Luxury to Necessity

Even in a traditionally analog industry like landscaping, professional buyers expect Amazon-level predictability. AI helps:

• anticipate demand cycles

• identify at-risk accounts

• segment by project type

• recommend inventory and services

This context makes Goodway’s measurement-first approach appealing to enterprises like SiteOne.

2. Media Investments Require Board-Level Proof

Marketing budgets are under more scrutiny than ever. Agencies that can demonstrate revenue impact—not just awareness—are winning more RFPs.

3. The B2B Buyer Journey Has Become Nonlinear

Buyers toggle between research, peer reviews, mobile ordering, onsite needs, and relationship-based decisions. Measurement-driven orchestration becomes critical. The buyer is in control; the brand needs the analytics to keep up.

Potential Outcomes: What This Could Mean for SiteOne’s Future

While the partnership is still in its early stages, several strategic outcomes appear likely:

1. Stronger Category-Level Growth

With clearer insight into category-specific opportunities—nursery vs. hardscapes, irrigation vs. lighting—SiteOne may uncover pockets of growth previously hidden in fragmented data.

2. More Efficient Media Spend

Scenario modeling could shift SiteOne from broad, national messaging toward precision-located, category- and customer-specific activation.

3. Better Contractor Retention

Simplifying the contractor journey is one of the highest-impact levers in the pro supply market. Improved experience and personalization tend to drive disproportionate repeat purchases.

4. A More Modern, Scalable Marketing Engine

If SiteOne integrates Goodway’s measurement frameworks across its growing network, it could build one of the more sophisticated B2B media infrastructures in its sector.

A Win for Goodway, A Signal to the Market

For Goodway Group, this client win reinforces its positioning as a challenger agency focused on measurable growth. In a landscape where many agencies still sell impressions, Goodway sells outcomes quantified through data, analytics, and customer understanding.

For SiteOne, it marks a milestone in its marketing sophistication journey—an intentional shift toward a long-term, measurable, tech-enabled strategy designed to support both organic growth and acquisition-driven expansion.

As professional contractors increasingly expect digital precision and frictionless service, this is the kind of transformation that will separate the legacy distributors that thrive from the ones that get disrupted.

Get in touch with our MarTech Experts.

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In an advertising landscape defined by fragmentation, siloed workflows, and platform sprawl, Frost & Sullivan has named Basis its 2025 Customer Value Leader for the global demand-side platform (DSP) market—an award reserved for vendors who don’t just move with the industry but help rewrite its rules. The consulting firm argues that Basis’ unified, AI-driven platform tackles one of modern advertising’s biggest headaches: the chaos created when marketers must stitch together CTV, DOOH, social, search, display, audio, and more without a single pane of glass.

The award underscores a trend that has been bubbling for years but is now impossible to ignore: Advertisers are tired of juggling point solutions. They want orchestration. They want automation. They want transparency. And critically—they want all of that without losing performance.

Frost & Sullivan’s full analysis is available via Basis, but the summary is clear: the company’s platform and operating philosophy represent a meaningful shift in how DSPs are expected to serve brands and agencies in a multi-channel world.

DSPs Are Being Forced to Grow Up—and Fast

The DSP market didn’t start out fragmented; it became fragmented. As new channels emerged—CTV, streaming audio, in-game ads, DOOH—the tech stack ballooned. Instead of unifying, most vendors built add-ons and extensions, leaving buyers to navigate a maze of interfaces, workflows, and attribution blind spots.

Frost & Sullivan doesn’t mince words in its report:

“It is no longer sufficient for a DSP to excel in a single channel. Brands and agencies now demand a single, cohesive interface to orchestrate, measure, and optimize cross-channel and cross-device campaigns harmoniously.”

This is the problem Basis claims to have solved. While many DSPs are busy playing channel catch-up, Basis has spent years building (and rebuilding) an operating system that automates everything from planning and media buying to reconciliation, invoices, reporting, and analytics.

The result: a workflow that resembles a true full-lifecycle advertising platform rather than a patchwork of vendors strapped together with spreadsheets.

Why Frost & Sullivan Picked Basis

To win Frost & Sullivan’s Customer Value Leadership award, companies must excel not only in product innovation but also in measurable customer success, ROI, and long-term partnership value. Basis checked boxes across all criteria—and then some.

Three themes stood out:

1. A Unified, Modular Media Environment

Basis brings planning, execution, optimization, financial operations, and analytics under one roof. No hopping between ad servers, billing systems, DSPs, social dashboards, and spreadsheets.

This centralization matters more in 2025 than ever. As marketers adopt signal diversity strategies (post-cookie), first-party data enrichment, and advanced audience modeling, the ability to manage campaigns across the full journey becomes a competitive advantage.

2. AI That Thinks in Customer Context

Not all AI in ad tech is created equal. Many platforms stitch in AI tactically—an optimization toggle here, an automated bid model there.

Basis takes a different tack. According to Frost & Sullivan, the platform analyzes over 30 brand-level targeting parameters every six hours, re-optimizing against models trained on each client's business.

That means the machine isn’t just predicting who will click—it’s evaluating who drives value.

3. A Customer Philosophy Built for Longevity

One of the most overlooked frustrations among enterprise advertisers is losing historical campaign intelligence when switching agencies or tools. Basis aims to solve this by allowing customers to own their full tech stack and their media data outright.

This gives marketers control over long-term learnings—critical for brands that juggle multiple agencies or rely on in-house teams.

Inside Basis' Platform: What Makes It Different

Basis markets itself as the industry's leading advertising automation platform, and in this context “automation” isn’t shorthand for bidding algorithms. It’s a structural overhaul of the digital advertising supply chain.

Planning & Media Activation in One Place

Marketers can build media plans—across programmatic, direct, search, and social—without leaving the platform. The handoff from plan to execution happens instantly, killing the spreadsheet bottleneck that plagues agencies everywhere.

Intelligent Targeting & Optimization

Basis' AI engine pulls from:

• proprietary optimization models

• 30+ real-time targeting dimensions

• brand-specific performance signals

• cross-channel device and audience mapping

Frost & Sullivan highlighted that this cadence of recalibration (every six hours) is unusually aggressive compared to traditional DSP cycles.

Financial Actualization & Reconciliation

This is the part no marketer loves but every CFO obsesses over. Basis automates invoice matching, reconciliation, vendor payments, and the financial chain that typically eats up weeks of manual labor.

Analytics & Transparency

All campaign data—across channels, formats, and teams—lives in one interoperable environment, avoiding the disconnected dashboards that plague most operations.

Customer Partnerships as a Strategic Pillar

One of Frost & Sullivan’s strongest compliments centers around Basis’ service model.

Because advertisers own their historical media data, the platform isn’t a lock-in tool—it’s a partner enabler. Marketers can switch agencies, build hybrid teams, or bring operations in-house without losing institutional knowledge.

This philosophy is one reason Basis has maintained strong renewals and deep multi-year enterprise relationships in an industry notorious for churn.

“Automation is about empowering people to work more effectively by simplifying and streamlining repetitive and complex tasks,” said Grace Briscoe, EVP of client development at Basis. “Frost & Sullivan’s recognition… underscores the value we have been delivering to marketers for more than two decades.”

Programmatic’s Broader Shift: The Market Wants Fewer Silos, More Intelligence

Basis' win reflects a macro shift happening across the advertising ecosystem:

1. The Consolidation Wave Is Accelerating

Agencies and brands are replacing six or seven-point tools with unified platforms. Not because consolidation is trendy—but because operational drag kills ROI.

2. AI Is Becoming the Differentiator Among DSPs

Bid shading and pacing algorithms used to be the bragging point. Now it’s enterprise-grade intelligence capable of analyzing:

• brand-specific outcomes

• signal decay

• creative impact

• multi-touch attribution

• real-time contextual trends

DSPs that can’t evolve beyond tactical AI are already falling behind.

3. Transparency Is No Longer Optional

The market has grown intolerant of black-box AI, opaque fees, and limited data portability. Basis’ open, customer-owned data model aligns directly with this trend.

4. Cross-Channel Integration Is the New Table Stakes

A DSP limited to programmatic is as outdated as a CRM that only stores email addresses. Brands want search, social, display, audio, DOOH, CTV, and direct buys in one orchestrate-and-optimize environment.

What This Recognition Means for the DSP Market

Frost & Sullivan’s award doesn’t just validate Basis; it spotlights a broader redefinition of what a DSP must be in 2025 and beyond.

Basis Raises the Bar for Competitors

Legacy DSPs now face pressure to:

• unify workflows

• invest in brand-specific AI

• deliver transparent data models

• simplify financial operations

• prioritize customer ownership over vendor lock-in

Most will need substantial rebuilding to catch up.

Agencies Gain Leverage

Agencies frustrated with tool fragmentation may see Basis as an opportunity to modernize operations without adding more software—and without sacrificing performance.

Brands Get a Blueprint for Modern Ad Ops

Enterprise advertisers looking to cut inefficiencies (and headcount bloat) may see Basis as a template for how to run leaner, smarter media organizations.

The Bottom Line

Frost & Sullivan’s 2025 Customer Value Leadership award places Basis at the center of the conversation about the future of DSPs—one where automation, transparency, and unified operations matter more than bid mechanics or channel bragging rights.

By centralizing planning, activation, optimization, financial workflows, and analytics in one AI-powered environment, Basis isn’t simply offering a DSP. It’s selling an operating system for modern advertising—one built to survive the next decade of channel proliferation, signal loss, and measurement disruption.

For a market desperate for simplification and intelligence, Basis’ approach is increasingly hard to ignore.

Get in touch with our MarTech Experts.

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Fintel Connect has dropped a new reality check for financial marketers: in the AI era, banks are losing the visibility game—and affiliate publishers are winning it. The company’s latest industry report, Competing for Visibility in the Age of AI (2025/2026), breaks down how large language models source financial information and what it means for the institutions that depend on consumer discovery.

The key finding is blunt. More than 60% of AI-generated financial content comes from affiliate publishers, not the institutions that actually provide the products. While that may surprise traditional marketers, it aligns with a growing shift toward zero-click search, where AI summaries replace the need for a direct website visit.

AI Favors Affiliates, Not Banks

According to the study, AI systems consistently pull from consumer-facing financial guides produced by major affiliate players like NerdWallet, Bankrate, and Investopedia. These sites have spent years optimizing for credibility, structure, and breadth—features that large language models tend to reward.

Fintel Connect CEO Nicky Senyard says this shift underscores a larger change in how trust and visibility are built.

“Our goal has always been to help financial brands grow through partnerships grounded in transparency and performance,” Senyard said. “As AI changes how consumers search and trust information, affiliates are becoming a critical pipeline of information for the LLMs.”

That pipeline now has outsized influence. When AI tools summarize credit card options, savings rates, or loan products, the underlying data often originates from affiliate content—not the bank’s own site.

Zero-Click Search Is Reshaping Marketing Strategy

Financial marketers have traditionally relied on paid search, SEO, and direct site traffic to bring customers into the funnel. Zero-click search disrupts all three. Because AI-generated answers rarely require a click-through, visibility now depends on whether an institution’s product data appears in the sources AI trusts most.

Fintel Connect’s findings reinforce a trend that has been building across the search landscape. In the consumer tech sector, Google’s Search Generative Experience has already reduced traditional organic visibility for many brands. The financial industry is now facing a similar transition—but with higher regulatory stakes.

Affiliate publishers, with their deep content libraries and structured comparison formats, now serve as a primary point of entry for AI training models. Banks without strong affiliate pipelines risk slipping out of the conversation entirely.

Why Affiliates Are Winning the LLM Game

There are several reasons AI systems lean so heavily on affiliate content:

• Structured data formats make product comparisons easy to parse.

• Frequent updates ensure rate and offer information stays fresh—something AI models favor.

• High domain authority signals reliability to both search and AI systems.

• Consumer-first content language maps closely to the natural queries users ask LLMs.

Banks, by contrast, often struggle with rigid product pages, compliance-heavy language, and slower content updates. Even well-known institutions rarely produce the type of informational guides that AI systems prefer.

What This Means for Banks, Credit Unions, and Fintechs

The report suggests a clear path forward: strengthen affiliate relationships or risk disappearing from AI-driven financial discovery altogether.

Senyard notes that the research offers a roadmap for institutions adapting to fast-changing search mechanics. “This research gives financial institutions a window into that evolving landscape and shows how to strengthen affiliate relationships to ensure their products stay visible,” she said.

That visibility is now tied directly to revenue. If AI summaries highlight a competitor’s product because the model draws from affiliate comparisons, a bank may lose a customer before they ever reach its website.

In a marketplace where consumers increasingly trust AI assistants to filter financial options, product placement within affiliate content becomes a critical competitive lever.

The Bigger Industry Picture

Other sectors—insurance, travel, ecommerce—have experienced similar shifts. In each case, aggregators and comparison sites became gateways to visibility long before AI arrived. The financial industry is now confronting the AI-enhanced version of that trend.

With regulatory pressures pushing institutions toward clearer disclosures and more standardized information, the affiliate model may become even more influential. AI tools prefer consistency, and affiliates offer it at scale.

A New Playbook for Financial Visibility

Fintel Connect’s report signals that the era of controlling your own digital visibility through owned content is fading. The companies that adapt quickest will treat affiliate ecosystems not as optional marketing channels but as essential infrastructure for AI relevance.

The takeaway is simple: If financial brands want to shape AI-generated search results, they must ensure their product data lives where AI systems are already looking.

And right now, that place is not their own website.

Get in touch with our MarTech Experts.

Premier CX and CommBox have teamed up to tackle one of hiring’s biggest bottlenecks: inconsistent, slow, and siloed communication with job candidates. Their new platform, JourneyHub™, aims to bring order—and intelligent automation—to the chaotic world of recruitment messaging.

The service merges Premier CX’s expertise in experience design with CommBox’s AI-powered engagement engine. Unlike traditional tools that rely on email blasts or manual follow-ups, JourneyHub™ centralizes messaging across WhatsApp, SMS, email, voice, and other channels. The goal is simple: deliver real-time, personalized updates without demanding more time from overwhelmed hiring teams.

A Smarter Layer on Top of ATS Systems

One of JourneyHub’s biggest differentiators is its ability to work hand-in-hand with major Applicant Tracking Systems. Rather than replacing systems like Greenhouse, Workday, or SAP SuccessFactors, it enhances them by adding an intelligent communication layer on top. For recruiters, that means fewer dropped messages, fewer no-shows, and a more predictable hiring workflow.

Anthony Buxton, CEO of Premier CX, says the platform is designed to improve both speed and experience. “JourneyHub™ is about making recruitment communication smarter, faster, and more human,” he said. By blending human-centric design with AI-driven automation, the platform aims to reduce friction and shorten the time it takes to fill open roles.

CommBox CEO Dvir Hoffman echoes the point. “This collaboration sets a new standard for recruitment communication,” he said. In an era when candidates expect instant, accurate answers across any channel, Hoffman argues that a unified communication backbone is no longer optional.

Blending Automation With Human Insight

JourneyHub™ relies on advanced automation to streamline repetitive tasks, but it doesn’t neglect personalization. Recruiters can build custom workflows that reflect their brand voice, tailor messages to different roles, and adapt communication formats to candidate preferences.

The platform’s AI agents can handle FAQs, provide application updates, and respond instantly around the clock—making it a direct fit for industries where hiring moves quickly and candidates often drop out early due to silence or slow follow-up.

Core Features Highlighted

The companies outlined several capabilities designed to strengthen the recruiter-candidate relationship:

• AI-Powered Automation: Smart workflows and AI agents cut manual work and accelerate hiring.

• Omnichannel Communication: All channels—WhatsApp, email, SMS, voice, and more—managed through a single interface.

• Personalised Candidate Journeys: Messages tailored to each brand’s tone and each applicant’s journey.

• Seamless ATS Integration: Compatible with platforms including Greenhouse, Workday, and SAP SuccessFactors.

What It Means for the Recruitment Tech Market

The launch comes as recruitment teams face rising pressure to respond faster, deliver transparency, and compete for scarce talent in high-turnover sectors. AI-driven candidate communication has become one of the most active areas in HR tech, with platforms racing to offer more intuitive, more immediate engagement tools.

JourneyHub™ positions itself as a hybrid solution: automated enough for efficiency, yet structured enough to preserve brand identity and empathy. Its omnichannel design also reflects a broader industry shift, as candidates increasingly prefer messaging apps over traditional email chains.

Debuting at TATech Europe 2025

JourneyHub™ will make its public debut at TATech Europe on November 11–12, where it’s poised to attract attention in a field hungry for solutions that cut time-to-hire. If early claims hold up, the platform could quickly become a benchmark for AI-powered recruitment engagement.

For now, JourneyHub™ enters the market with a clear message: in hiring, communication isn’t just a touchpoint—it’s the experience.

Get in touch with our MarTech Experts.

Transcend just earned a major validation in the rapidly evolving privacy tech landscape. The company has been named a Leader in the IDC MarketScape: Worldwide Data Privacy Compliance Software 2025 Vendor Assessment, a recognition that pushes it to the front of an industry racing to automate compliance and support AI-driven data operations.

IDC highlights Transcend’s strength across consent management, data mapping, DSR automation, and enterprise-scale privacy orchestration—areas where many first-generation tools still rely heavily on manual processes. The report also points to Transcend’s deep API and integration capabilities, which allow it to slot into sprawling digital infrastructures without forcing redesigns or long deployment cycles.

Automation as a Competitive Edge

According to Ryan O’Leary, Research Director for Privacy and Legal Technology at IDC, enterprise buyers increasingly want platforms that eliminate repetitive compliance tasks. That’s where Transcend stands out.

“Transcend fully automates many of the cumbersome and menial aspects of compliance,” O’Leary noted. He added that the company is often chosen for its ability to deploy quickly, support complex multi-layered organizational structures, and scale across thousands of domains—requirements that large global enterprises can’t afford to compromise on.

It’s no longer enough to track privacy obligations; enterprises now need systems that act on them in real time.

Privacy Meets Growth—Not Friction

Transcend CEO Ben Brook frames the recognition as part of a broader shift in how enterprises think about data. Rather than treating compliance as a barrier, companies are beginning to see how structured, well-governed data workflows can accelerate AI initiatives and improve customer trust.

“We believe this recognition validates our vision for a new era of user data,” Brook said. He emphasized that responsible data use, executed with the help of unified automation, can unlock new opportunities instead of limiting innovation.

This perspective is gaining traction across sectors adopting AI models that demand higher-quality, well-classified, and well-governed data.

Full-Stack Consent Management Gets the Spotlight

The MarketScape report singles out Transcend’s full-stack approach to consent management as a major differentiator. Unlike plug-in solutions that handle only front-end collection, Transcend extends automation across the entire lifecycle—discovery, orchestration, enforcement, and auditability.

Key capabilities include:

• Real-time network-layer blocking of unauthorized trackers

• Customizable banners for multiple brands and regions

• Deep integrations across web, mobile, and back-end systems

• Support for both authenticated and anonymous users

As global regulations expand, from GDPR and CPRA to sector-specific privacy mandates, enterprises need systems that adapt without constant engineering work. Transcend’s architecture appears designed with that future in mind.

Built for Enterprise Scale

The report also emphasizes Transcend’s integration framework. With more than 200 prebuilt integrations, developer toolkits, and customizable automation functions, the platform supports advanced privacy operations that extend across cloud apps, infrastructure, and business workflows.

For customers, IDC notes, this flexibility translates into smooth, fast implementations—something notoriously rare in privacy software deployments. Interviewed users described Transcend’s onboarding experience as a standout improvement over past tools they’ve used.

Why This Recognition Matters

IDC’s MarketScape assessments carry significant weight, particularly in categories where compliance risk and technical complexity converge. As enterprises scale AI initiatives and face increasing regulatory scrutiny, the need for fully automated privacy operations is becoming non-negotiable.

Transcend’s positioning as a Leader suggests that the market is shifting toward platforms engineered for deep automation, developer-friendly extensibility, and long-term interoperability across global digital estates.

For companies carrying the weight of thousands of data systems—and millions of customer relationships—this recognition may signal which vendors are built for the AI-driven decade ahead.

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Mitel is pushing deeper into AI-enabled communications with the global debut of Mitel Workflow Studio, a low-code/no-code platform designed to automate complex communication processes without requiring engineering muscle. The move arrives as enterprises accelerate hybrid communications deployments and fold AI into daily operations—an evolution Mitel wants to simplify rather than complicate.

Workflow Studio blends drag-and-drop simplicity with serious automation power. Users can build workflows that handle AI-driven call routing, real-time language localization, visitor registration, transcription, scheduling, and more. The interface leans heavily on usability, giving non-technical teams the ability to deploy automation that once required specialist development.

Meeting the Moment for AI-Driven Communications

Enterprise communication strategies are shifting quickly. Techaisle recently reported that 53% of organizations are integrating AI into their communications stack. Mitel positions Workflow Studio as the bridge between traditional UC systems and the next generation of intelligent automation.

The platform embeds directly into Mitel’s UC solutions but also connects across a wide spread of third-party tools: Microsoft 365, Zoom, Slack, Zendesk, Salesforce, and others. On the AI side, it taps leading LLMs including ChatGPT, Google Gemini, and Anthropic Claude. This combination gives enterprises a practical way to deploy AI where it matters most—call flows, customer engagement, internal communication, and operational efficiency.

Martin Bitzinger, Mitel’s SVP of Product Management, says the platform is built to remove long-standing roadblocks. “Workflow Studio removes major roadblocks, like a lack of access to advanced GenAI tools or a large development team,” he said. With communication now central to customer satisfaction and employee productivity, Bitzinger positions Workflow Studio as a strategic lever that helps organizations adapt quickly without costly software investments.

Real-World Impact: Heilig Hart Hospital

Mitel points to Belgium’s Heilig Hart Hospital as an early proof point. Serving 850 staff and hundreds of daily patient interactions, the hospital used Workflow Studio to convert voicemail messages to text in real time. The shift reduced response times and helped support teams prioritize care faster.

Benjamin Peeters, the hospital’s IT Director, said the low-code approach was key. “Its low-code approach allowed us to quickly implement custom workflows without needing extensive technical skills,” he noted. The seamless integration with Mitel’s existing systems also delivered a cost-efficient way to boost communication quality for both staff and patients.

What Workflow Studio Brings to the Table

Mitel is pitching Workflow Studio as both an enterprise automation engine and a way to democratize development. Key capabilities include:

• Automation for Efficiency: Build workflows that route calls, send alerts, and update records to save time and reduce errors.

• GenAI-Powered Workflows: Enhance experiences with intelligent automation driven by LLMs and Mitel’s API framework.

• Cross-System Integration: Connect business processes and unify disconnected tools through customizable workflows.

• Faster Development Cycles: Use an intuitive visual designer to deploy new functionality with minimal IT dependency.

These features reflect a larger industry trend: AI and workflow automation are no longer experimental—they’re structural. Aragon Research’s Jim Lundy notes that automation has moved “from innovation labs to the boardroom,” and says Workflow Studio gives enterprises a way to embed intelligence directly into communications strategies.

A Platform With Room to Expand

Mitel plans to integrate Workflow Studio across its broader ecosystem. It’s available today as a standalone platform or paired with Mitel CX, the company’s next-gen AI-driven customer experience suite. Support for OpenScape will arrive in Q1 2026, signaling continued expansion across Mitel’s portfolio.

With Workflow Studio, Mitel is making the case that high-impact automation shouldn’t be gated behind technical expertise. By fusing low-code tools with GenAI and deep integrations, the company is offering a streamlined path for enterprises looking to modernize communications—and stay agile in a market where speed and intelligence increasingly define competitive advantage.

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Strike Graph has landed a coveted spot in the AWS Startups: Building with Llama program, a six-month, invite-only initiative created by AWS and Meta to accelerate innovation on Llama, Meta’s fast-growing open-source AI ecosystem. Only 33 startups nationwide made the cut—just 3% of more than 1,000 applicants—placing Strike Graph among the top AI companies shaping real-world enterprise solutions.

For a sector long plagued by checklists, spreadsheets, and reactive controls, Strike Graph represents a radically different vision of compliance: one fueled by agentic intelligence, dynamic data models, and continuous verification.

Reimagining Compliance With Adaptable AI

Founded in 2020 by technologist Justin Beals, Strike Graph was built around a simple but disruptive premise: compliance frameworks shouldn’t be static. Regulations shift, attack surfaces evolve, and enterprise systems change too fast for manual processes. Strike Graph addresses that gap with an AI-native platform designed to adapt in real time.

Instead of treating compliance elements as isolated artifacts, the company uses dynamic ontologies and graph-based data models to map risks, controls, evidence, and frameworks as interconnected but distinct entities. This architecture unlocks AI-driven automation at scale, allowing agentic systems to interpret, test, and validate compliance requirements continuously.

The result is a platform engineered not just to pass audits but to transform compliance into a strategic, ongoing advantage.

The AI Features Behind Strike Graph’s Momentum

Strike Graph’s placement in the Llama program underscores the maturity of its AI stack. Several capabilities stand out:

• Agentic AI Architecture: Powers adaptive, context-aware workflows that evolve with regulatory and business environments.

• Verify AI: A patent-pending internal auditor that monitors and validates controls in real time.

• AI Security Assistant: Delivers instant, privacy-safe answers to compliance queries and assists in incident response.

• AI Automation: Syncs evidence collection with cloud deployments to speed audit readiness.

• Multi-Framework Mapping: Automatically correlates controls and evidence across 40+ frameworks to eliminate redundancy.

• Zero-Trust AI Stack: Keeps compliance data fully encrypted and avoids external third-party dependencies.

These tools give enterprises automated visibility across complex environments and allow teams to shift from reactive reporting to proactive assurance.

A Strategic Boost From AWS and Meta

With access to Llama experts from both AWS and Meta, Strike Graph will be able to accelerate development around automated evidence collection, contextual risk analysis, and real-time compliance verification. For companies wrestling with sprawling regulatory demands, these enhancements could dramatically reduce manual workload and improve audit accuracy.

CEO Justin Beals says the recognition validates the company’s mission. “Joining the Building with Llama program allows us to push our AI capabilities even further, all in service of helping companies build and maintain trust with their customers,” he noted.

For AWS and Meta, investments like this also signal a broader trend: open-source LLMs are increasingly becoming the backbone of enterprise-grade automation. By selecting startups with deep technical foundations, the program aims to catalyze the next era of AI-native software—especially in highly regulated sectors.

Strike Graph’s inclusion suggests one thing clearly: in the race to modernize compliance, the companies tying AI directly into the foundation of their architecture will be the ones defining the category.

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