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Mendra Launches With $82M Series A to Use AI to Speed Rare Disease Drug Development

Mendra Launches With $82M Series A to Use AI to Speed Rare Disease Drug Development

artificial intelligence 23 Jan 2026

Mendra, Inc. has officially entered the biopharmaceutical arena with an ambitious pitch: use artificial intelligence to fix what’s long been broken in rare disease drug development. The newly launched company announced it has closed an $82 million oversubscribed Series A round, co-led by OrbiMed, 8VC, and 5AM Ventures, with participation from Lux Capital and Wing VC.

The funding gives Mendra both validation and firepower as it sets out to modernize how rare disease therapies are identified, developed, and ultimately delivered to patients—an area of medicine where scientific promise often collides with commercial and logistical complexity.

Applying AI Where Rare Disease Development Struggles Most

Rare disease drug development faces a familiar set of challenges: small and geographically dispersed patient populations, slow clinical trial enrollment, and fragmented global commercialization pathways. Mendra’s strategy is to deploy AI across each of these bottlenecks rather than treating technology as a standalone discovery tool.

According to the company, its platform will focus on:

  • Accelerating patient identification to reduce the time and cost of finding eligible trial participants

  • Improving clinical trial enrollment, a frequent cause of delays in rare disease programs

  • Supporting global market access, helping therapies reach patients beyond traditional U.S. and EU launch geographies

The Series A capital will also be used to acquire and develop initial rare disease assets, forming the foundation of Mendra’s therapeutic portfolio.

A Hybrid Model: Asset-Centric, Platform-Enabled

Unlike pure AI drug discovery startups, Mendra is positioning itself as a rare disease-focused biopharma company augmented by AI, not replaced by it. The emphasis is on combining deep domain expertise with software-driven decision-making across asset selection, development strategy, and commercialization planning.

“We are building Mendra to deliver high-potential rare disease medicines more effectively to patients on a global scale,” said Joshua Grass, co-founder and CEO. He noted that AI-driven capabilities could help address some of the most persistent inefficiencies in rare disease drug development, including long timelines and inconsistent execution.

Leadership Built for Scale and Specialization

Mendra’s leadership team reflects its dual focus on rare disease execution and advanced technology.

  • Joshua Grass, Co-founder & CEO, brings more than two decades of biopharma leadership experience, including successful exits at Modis Therapeutics and Escient Pharmaceuticals, as well as a key role in building BioMarin’s rare disease portfolio.

  • Jeff Ajer, Chief Commercial Officer, previously served as CCO at BioMarin, where he built global commercial infrastructure and launched multiple rare disease therapies worldwide.

  • Lalarukh Haris Shaikh, Ph.D., Co-founder & CTO, comes from Palantir Technologies, where she led life sciences and aerospace initiatives, bridging healthcare and advanced data platforms.

  • Gregory Balani, Pharm.D., VP of Business Development, adds experience from Escient Pharmaceuticals, Zogenix, Bayer, and most recently as a venture investor at Avego Bioscience Capital.

Why Investors Are Paying Attention

Investor interest in AI-enabled biopharma has surged, but rare disease remains a particularly attractive niche. While patient populations are smaller, regulatory pathways can be clearer, and successful therapies often command premium pricing and long market exclusivity.

By combining capital discipline, AI-driven infrastructure, and executives with proven rare disease track records, Mendra is betting it can shorten development cycles while expanding access to underserved patient populations worldwide.

If successful, the company could offer a blueprint for how AI-powered commercialization and clinical execution—not just discovery—may define the next phase of biopharma innovation.

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Global Digital Advertising Market Set to Near $820B by 2031 as AI, Retail Media Redefine Growth

Global Digital Advertising Market Set to Near $820B by 2031 as AI, Retail Media Redefine Growth

artificial intelligence 23 Jan 2026

The global digital advertising industry is entering its next phase of expansion—larger, smarter, and far more complex. According to a new report added to ResearchAndMarkets.com, the global digital advertising market is expected to grow from $414.52 billion in 2025 to $819.51 billion by 2031, representing a compound annual growth rate (CAGR) of 12.03%.

The forecast underscores how deeply digital channels are now embedded in global marketing strategies, even as advertisers contend with privacy restrictions, signal loss, and a shifting measurement landscape.

Digital Advertising’s Structural Tailwinds Remain Intact

At its core, digital advertising continues to benefit from structural shifts in consumer behavior. High-speed internet penetration and near-universal smartphone adoption have permanently altered how audiences consume media, pushing brands toward platforms that offer scale, precision, and measurable outcomes.

Search engines, social media platforms, websites, and mobile apps now serve as the primary conduits for brand discovery and commerce. The rise of e-commerce has accelerated this transition, prompting advertisers to redirect budgets away from traditional media in favor of digital environments that deliver real-time performance data and clearer attribution.

Despite mounting regulatory pressure, the sector’s financial resilience remains evident. The Interactive Advertising Bureau (IAB) reported that U.S. internet advertising revenues climbed 14.9% in 2024 to a record $258.6 billion, highlighting advertisers’ continued confidence in digital channels—even as targeting capabilities evolve.

Social Platforms and Influencers Fuel Engagement-Led Growth

Social media platforms remain one of the strongest growth engines in the digital advertising ecosystem. Their ability to combine algorithmic targeting with high-engagement formats—particularly short-form video—has made them indispensable for brand-building and performance marketing alike.

Influencer marketing has become a strategic pillar within this ecosystem. Creator-led storytelling allows brands to establish trust and relevance across diverse demographics, often outperforming traditional display formats in engagement and recall.

This momentum is reflected in platform earnings. In its Q3 2024 results, Meta reported a 19% year-over-year increase in advertising revenue to $39.9 billion, reinforcing the role of social platforms as primary recipients of global marketing spend.

Retail Media Emerges as a Privacy-Safe Powerhouse

As third-party cookies fade and cross-site tracking weakens, retail media networks have emerged as one of the most strategically valuable segments in digital advertising.

Retailers are capitalizing on their vast repositories of first-party purchase data to offer closed-loop attribution, directly linking ad exposure to sales outcomes. For advertisers navigating privacy constraints, this model delivers something increasingly rare: high-intent audiences with measurable ROI.

Amazon’s performance illustrates this shift. In Q3 2024, the company reported a 19% year-over-year increase in advertising services revenue to $14.3 billion, signaling how retail media is reshaping budget allocation decisions across industries.

This broader rebalancing aligns with Dentsu’s forecast that digital channels will account for 59.6% of total global advertising expenditure in 2024, cementing digital’s majority share of ad spend.

Privacy Regulations Reshape Targeting Economics

While growth prospects remain strong, the industry faces mounting challenges from stricter privacy regulations and the systematic deprecation of third-party cookies. These changes are dismantling long-standing data infrastructures used to track users across devices and platforms.

The resulting “signal loss” has reduced targeting precision and made it more difficult to attribute conversions accurately. As transparency declines, advertisers are often forced to spend more to achieve the same level of engagement.

According to the IAB’s 2024 findings, 87% of ad buyers reported increased advertising costs directly linked to privacy legislation and data signal loss. This inflationary pressure is reshaping programmatic strategies and limiting scalability—particularly for smaller players without robust first-party data assets.

Generative AI Transforms Creative at Scale

One of the most significant shifts underway is the integration of Generative AI into creative production and optimization. AI-powered tools now enable advertisers to generate thousands of personalized ad variations in real time, tailored to specific audience segments and contextual signals.

This approach dramatically lowers production costs while increasing campaign agility. Static creatives are giving way to dynamic formats that continuously optimize based on performance data.

Alphabet highlighted this trend in its Q3 2024 earnings, reporting a 10% year-over-year increase in advertising revenue to $65.9 billion, driven in part by rapid adoption of AI-powered creative and search tools.

Connected TV Accelerates the Shift Away From Linear Media

Connected TV (CTV) and OTT advertising are redefining the video advertising landscape as marketers migrate budgets from linear television to streaming platforms.

CTV combines the immersive impact of traditional TV with digital capabilities such as addressable advertising, advanced targeting, and cross-device measurement. As consumers continue to abandon cable bundles for on-demand streaming, advertisers are following audiences into these environments.

The IAB’s 2024 Digital Video Ad Spend & Strategy Report projects CTV ad spend to grow 12% year-over-year to $22.7 billion, outpacing growth across the broader media market.

The Outlook: Bigger, Smarter, and More Constrained

The digital advertising market’s trajectory toward $819.5 billion by 2031 reflects both opportunity and tension. Growth is increasingly driven by AI, retail media, and video innovation, while privacy constraints force advertisers to rethink targeting, measurement, and budget efficiency.

For brands and platforms alike, the next decade will reward those that can balance personalization with compliance—leveraging first-party data, AI-driven creativity, and closed-loop measurement to thrive in a post-cookie advertising economy.

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Acoustic Named Leader in QKS SPARK Matrix 2025 for Multichannel Marketing Hubs

Acoustic Named Leader in QKS SPARK Matrix 2025 for Multichannel Marketing Hubs

marketing 23 Jan 2026

Acoustic has been positioned as a Leader in the 2025 SPARK Matrix™ for Multichannel Marketing Hubs (MMH) by QKS Group, reinforcing the company’s growing relevance as enterprises rethink how they orchestrate customer engagement across channels.

The recognition highlights Acoustic’s performance across both technology excellence and customer impact, with particular emphasis on its flagship platform, Acoustic Connect™, which aims to unify real-time intent detection with large-scale, cross-channel activation.

Why Acoustic Stood Out in a Crowded MMH Market

According to QKS Group, Acoustic differentiates itself by embedding real-time journey orchestration and audience intelligence directly into the platform’s core, rather than offering them as optional modules. This architectural choice matters at a time when marketers are under pressure to respond instantly to customer behavior—without adding operational complexity.

Acoustic Connect enables brands to act on behavioral and transactional signals across email, SMS, mobile, and web, supporting adaptive campaigns that adjust in real time. In practice, this allows marketing teams to move away from static, rules-based campaigns toward engagement models driven by live customer intent.

Richa Choubey, Senior Analyst at QKS Group, noted that Acoustic’s approach reduces operational overhead while improving precision—an increasingly important balance as marketing teams face tighter budgets and higher performance expectations.

Governance and Compliance as Competitive Advantages

Beyond engagement capabilities, QKS Group pointed to integrated consent management, deliverability controls, and a unified audience model as key strengths of Acoustic Connect. These features position the platform well for enterprises operating in regulated environments, where compliance and data discipline are no longer optional.

As privacy regulations tighten globally and first-party data becomes the foundation of marketing strategy, platforms that bake governance into their design—rather than bolting it on later—are gaining an edge. Acoustic’s positioning reflects this shift, aligning with broader enterprise demand for compliant, privacy-first engagement infrastructure.

A Signal of Broader Industry Trends

The Multichannel Marketing Hub category itself is evolving. Enterprises are increasingly looking to replace fragmented, legacy marketing stacks with unified platforms that combine orchestration, analytics, and activation. Vendors that can deliver speed, intelligence, and measurable outcomes in a single system are emerging as consolidation winners.

From QKS Group’s perspective, Acoustic’s depth of integration, analytics capabilities, and ongoing investment in innovation place it well for long-term relevance as MMH platforms become central to digital customer experience strategies.

Acoustic’s Vision: From Campaigns to Intent-Driven Engagement

Acoustic CEO Jon Ziglar framed the SPARK Matrix recognition as validation of the company’s strategic direction. Rather than optimizing individual channels, Acoustic is focused on enabling intent-driven engagement, where each customer interaction is informed by real-time behavior and powered by first-party data.

This positioning reflects a broader industry pivot: marketing effectiveness is no longer measured by channel performance alone, but by how seamlessly brands can interpret and act on customer intent across the entire journey.

With decades of experience supporting global enterprises and delivering billions of personalized messages annually, Acoustic continues to bet on platforms that help marketers act in the moments that matter—where relevance, timing, and trust converge.

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Fisent’s Applied GenAI Automation Pushes Past Pilot Mode With Triple-Digit Growth

Fisent’s Applied GenAI Automation Pushes Past Pilot Mode With Triple-Digit Growth

artificial intelligence 23 Jan 2026

While much of enterprise AI remains stuck in pilots and proofs of concept, Fisent Technologies is making a strong case that applied generative AI has crossed into real-world production.

The company reported 206% year-over-year total revenue growth in 2025, alongside 365% growth in licensing revenue, positioning itself as a fast-emerging standard for turning unstructured enterprise content into automated, auditable outcomes. Just as notable: Fisent recorded 173% net revenue retention and zero customer churn over the past three years, rare metrics in a market crowded with experimental AI tools.

From AI Experiments to Production-Grade Automation

Fisent’s momentum is being driven by growing adoption of Fisent BizAI, its applied GenAI process automation platform designed to eliminate bottlenecks created by unstructured data—documents, emails, contracts, forms, and other content that traditional automation struggles to handle.

Customers are not stopping at single deployments. On average, enterprises are now running more than three BizAI implementations, with additional rollouts planned across departments. In fact, 90% of customers added at least one new use case in 2025, and all existing customers have identified further deployments for 2026.

This pattern reflects a broader shift in enterprise AI strategy: organizations are moving away from siloed AI agents toward platforms that can scale reliably across functions such as operations, finance, customer service, sales, legal, and compliance.

Agentic AI, But With Enterprise Guardrails

In 2025, Fisent doubled down on product innovation with the release of its agentic “Actions Framework,” positioning BizAI not as a passive AI layer, but as an active system that executes decisions within enterprise workflows.

Key additions included:

  • BizAI Studio, a self-serve environment giving customers real-time visibility into performance and configuration

  • BizAI Actions, specialized capabilities that transform unstructured content into automated decisions

  • A confidence rating system designed to match the rigor and auditability of human expert decisions

  • Enhancements to Fisent’s GenAI Efficacy Framework, supporting pre- and post-production testing and validation

In regulated industries—where AI governance remains a major barrier to adoption—Fisent also completed a 2025 SOC 2 Type 2 audit with expanded scope and comprehensive penetration testing, reinforcing its focus on security-first AI deployment.

Traction in Financial Services and Beyond

Fisent’s strongest traction continues to come from financial services, where customers across banking, lending, wealth management, and insurance collectively generate more than $30 billion in annual revenue. Firms including AEGIS London, CMG Financial, major global wealth managers, and multiple large banks are using BizAI to automate tasks traditionally dependent on human expertise.

Outside financial services, adoption is spreading into industrial sectors. Westinghouse Electric, for example, implemented BizAI to streamline parts and equipment fulfillment across nuclear facilities—an environment where precision, compliance, and reliability are non-negotiable.

Industry Recognition and Market Signal

The company’s progress has not gone unnoticed. In 2025, Fisent was:

  • Named to both the KMWorld 100 Companies That Matter Most and the KMWorld AI 100

  • Awarded the LaunchPad Impact Award at PegaWorld 2025 for measurable enterprise automation outcomes

  • Featured in research from Deep Analysis, IDC, and Celent

  • Covered by outlets including Forbes, Fortune, ZDNET, FinTech Futures, and Finextra

These endorsements underscore a growing consensus: enterprises are no longer looking for AI that merely analyzes data—they want systems that act, integrate, and scale safely.

Looking Ahead: The “Last Mile” of Automation

Heading into 2026, Fisent is focused on converting a growing pipeline of Fortune 500 customers, many of whom view unstructured content processing as the final barrier to full automation. For these organizations, closing that gap can unlock tens of millions of dollars in operational value.

As enterprises push beyond AI experimentation, Fisent’s strategy—high-precision automation, deep legacy integration, and production-first design—positions it squarely in the camp of vendors turning generative AI from promise into measurable business impact.

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Hankook Taps Aaron Hong as North America Marketing VP in Strategic Leadership Shift

Hankook Taps Aaron Hong as North America Marketing VP in Strategic Leadership Shift

automation 22 Jan 2026

Hankook Tire is reshuffling its North American leadership bench, promoting Seunghwan (Aaron) Hong to Vice President of Marketing at its North America headquarters in Nashville, Tennessee. The move underscores the global tire maker’s intent to tighten dealer relationships, sharpen execution across markets, and align regional strategy more closely with its global ambitions.

Hong succeeds Kyuwang (Ken) Cho, who has been elevated to lead Hankook’s Global Truck & Bus (TB) Division from Seoul—a transition that reflects Hankook’s growing emphasis on its commercial and fleet-facing businesses alongside consumer tires.

A Global Operator Takes the North America Helm

Hong brings more than two decades of experience within Hankook, with a résumé that reads like a global tour of the company’s most strategic markets. In his new role, he will oversee marketing strategy, technical services, Canada marketing, and supply chain and logistics operations—an unusually broad remit that blends brand-building with operational execution.

That scope matters. As tire manufacturers face margin pressure, supply chain volatility, and increasingly digital-savvy dealers, marketing leadership can no longer sit in a silo. Hankook’s decision to place logistics and technical services under the same executive suggests a more integrated approach—one where brand promise, dealer support, and product availability are expected to move in lockstep.

Before relocating to Nashville, Hong served as Managing Director of Hankook Canada, where he led brand expansion efforts and market-specific initiatives in a highly competitive environment dominated by entrenched global players. Earlier in his career, he held senior roles at Hankook’s global headquarters, including Truck & Bus Sales Strategy Manager, and led the company’s Netherlands subsidiary—experience that gives him a rare blend of consumer, commercial, and regional-market insight.

Why This Matters for Hankook’s Dealer Strategy

In a statement, Rob Williams, President of Hankook Tire America Corp., highlighted Hong’s ability to drive growth across diverse markets and emphasized the company’s focus on strengthening dealer relationships across North America.

That focus is timely. Dealers today expect more than co-op marketing dollars and seasonal promotions. They want data-driven programs, faster logistics, technical expertise, and brand investments that translate into foot traffic and long-term loyalty. By consolidating marketing, technical services, and supply chain functions under one leader, Hankook appears to be betting on tighter execution and fewer internal handoffs.

It also positions the company to respond more quickly to market shifts—whether that’s demand changes driven by EV adoption, fluctuations in raw material costs, or evolving consumer expectations around performance, sustainability, and warranty support.

Ken Cho’s Move Signals Global TB Ambitions

Cho’s promotion to head of Hankook’s Global Truck & Bus Division is equally telling. After serving as Senior Vice President of Passenger Car and Light Truck (PCLT) Sales and Marketing in North America since January of last year, Cho returns to Korea to oversee a division that has become strategically critical for the brand.

Commercial tires offer longer replacement cycles, deeper fleet relationships, and increasingly data-driven sales models—areas where global coordination matters. Cho’s prior experience as Senior Vice President of Global Sales for the TB Division positions him well to scale Hankook’s presence in a segment where competitors are investing heavily in telematics, predictive maintenance, and service-led differentiation.

Williams acknowledged Cho’s impact in elevating Hankook’s presence across both consumer and commercial channels during his North America tenure, suggesting continuity rather than disruption as leadership shifts across regions.

The Bigger Picture: Marketing Leadership Is Expanding Its Mandate

Hankook’s leadership changes reflect a broader trend across manufacturing and automotive-adjacent industries: marketing leaders are being asked to own more of the value chain. Brand storytelling still matters, but so do dealer enablement, supply reliability, and technical credibility.

 

For Hankook, Hong’s appointment signals a push toward integrated growth—where marketing strategy is tightly coupled with execution on the ground. For dealers and partners, it may translate into more cohesive programs and clearer accountability. And for the broader tire market, it’s another sign that global players are recalibrating leadership to navigate a more complex, data-driven, and competitive landscape.

 

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NemoVideo Bets on “Conversational Editing” to Make AI Video Creation More Human—and Faster

NemoVideo Bets on “Conversational Editing” to Make AI Video Creation More Human—and Faster

video advertising 22 Jan 2026

For content creators and marketing teams, video has become both a growth engine and a bottleneck. Audiences demand a steady stream of polished, platform-native videos, yet traditional editing tools still require hours of technical work—and template-driven shortcuts often flatten brand identity. NemoVideo believes the problem isn’t creativity. It’s friction.

The company has officially launched its AI-powered video creation platform, positioning “Conversational Editing” as the antidote to slow, mechanically complex workflows. Instead of scrubbing timelines and fine-tuning effects, users describe what they want in plain language. The system translates intent into edits.

In other words: tell the software your idea, not how to execute it.

From Timelines to Intent

At the core of NemoVideo’s pitch is a reframing of video editing itself. Rather than treating editing as a technical skill, the platform treats it as a dialogue. Users can issue commands like “increase the intro energy,” “tighten pacing,” or “emphasize product benefits,” and see changes applied in real time.

According to CEO Jin Li, this shift is deliberate. “The challenge in video production isn’t a shortage of creative ideas—it’s the mechanical workload that separates concept from execution,” he said. NemoVideo’s system automates rhythm matching, clip selection, and structural adjustments so creators can focus on narrative and strategy.

That philosophy aligns with a broader trend in MarTech and creative tech: AI isn’t replacing creativity, but absorbing the repetitive labor that slows it down.

An Integrated, AI-First Workflow

NemoVideo isn’t positioning itself as a single-feature editing assistant. It’s built as an end-to-end production environment that accepts nearly any starting point and turns it into publish-ready video.

The workflow begins with Drop Anything, which allows users to start projects using product links, scripts, raw footage, or even reference URLs. There’s no requirement to pre-organize assets or conform to rigid formats—an appealing proposition for marketing teams juggling multiple campaigns at once.

Once a project is live, Talk-to-Edit replaces traditional timeline manipulation. Natural language processing interprets creative instructions and executes them instantly, removing the need for frame-by-frame adjustments.

For teams that struggle with ideation as much as execution, NemoVideo adds an Inspiration Center. This feature analyzes patterns from viral video content and recommends hooks, pacing styles, and structural frameworks aligned with specific audience goals. Rather than copying trends outright, it aims to surface repeatable formats that can be adapted to brand voice.

Automation That Targets Retention, Not Just Speed

One of the more practical features is SmartPick Technology, which scans raw footage to identify high-value moments while automatically removing filler, awkward pauses, and low-engagement segments. The goal is simple: maximize viewer retention without manual trimming.

That retention-first approach extends to distribution. Platform Intelligence automatically generates optimized versions of each video for TikTok, Instagram Reels, and YouTube Shorts. Aspect ratios, pacing, and caption styles are adjusted per platform, reducing the need for separate edits and exports.

Additional tools—such as A/B-roll smart matching, one-click dynamic captions, and SmartAudio for voiceovers and music—round out a feature set designed to minimize production friction while keeping outputs polished.

Speed Gains That Change Team Economics

NemoVideo’s early numbers are designed to get marketers’ attention. Based on internal beta testing and early agency use, the company claims teams can complete projects roughly three times faster than with conventional editing workflows. A product showcase that typically takes three hours can reportedly be finished in about 15 minutes.

More importantly, the platform claims to reduce technical execution effort by 60–70%. That shift has real implications for marketing operations. Less time spent on mechanics means more time for creative strategy, testing, and audience insight—areas that directly impact performance but are often under-resourced.

If those efficiency gains hold up at scale, platforms like NemoVideo could reshape how brands think about video budgets, staffing, and content velocity.

Accessibility Without Surrendering Control

Unlike many professional editing tools, NemoVideo is entirely web-based. There are no downloads, steep learning curves, or prerequisite skills. Yet the company is careful to emphasize that automation doesn’t mean loss of control.

Every AI-generated decision remains adjustable. Brands can override edits, tweak pacing, or fine-tune visuals as needed. That balance—automation with reversibility—is critical for enterprise marketers wary of “black box” creative tools that prioritize speed over brand safety.

In that sense, NemoVideo sits between two worlds: more powerful than template-based video generators, but far less demanding than traditional editing suites.

The Bigger Picture for MarTech and Creator Tools

NemoVideo’s launch reflects a larger shift in how creative work is being re-engineered by AI. The most successful tools aren’t asking marketers to become engineers—or to accept generic outputs. They’re translating intent into execution, letting humans stay focused on storytelling and differentiation.

As short-form video continues to dominate performance marketing, the ability to produce high-quality, platform-native content at scale is becoming a competitive advantage. Tools that reduce friction without diluting brand voice are likely to find receptive audiences among agencies, in-house teams, and independent creators alike.

 

NemoVideo’s bet is clear: the future of video editing won’t be about mastering timelines. It will be about having better conversations with your tools.

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Noritz Unveils “Commercial One” Campaign, Spotlighting Scalable Tankless Systems at AHR 2026

Noritz Unveils “Commercial One” Campaign, Spotlighting Scalable Tankless Systems at AHR 2026

technology 22 Jan 2026

As commercial facilities push for higher efficiency, redundancy, and lower lifetime operating costs, Noritz America is making a clear statement about where it sees the future of hot water systems. At the 2026 AHR Expo in Las Vegas (February 2–4), the company will debut a new commercial-focused marketing initiative dubbed “Commercial One,” centered on its flagship NCC199 CDV Pro tankless water heater.

The campaign will be showcased at Booth C4929 in the Central Hall of the Las Vegas Convention Center and reflects Noritz’s broader strategy: repositioning tankless systems not as niche alternatives, but as purpose-built infrastructure for high-demand commercial and industrial environments.

A “True Commercial” Take on Tankless Water Heating

At the heart of Commercial One is the NCC199 CDV Pro, a unit Noritz positions as a “True Commercial” tankless water heater—engineered specifically for sustained, high-load applications rather than light commercial crossover use.

The specs are designed to signal seriousness. The NCC199 delivers a maximum input of 199,900 BTU per hour, supports flow rates up to 11.1 gallons per minute, and achieves an Energy Factor of 0.98 UEF. It’s CSA-approved for common venting of up to six units, simplifying large installations while maintaining compliance.

Durability is a core selling point. The system uses dual corrosion-resistant stainless steel heat exchangers, a design choice aimed at extending lifespan under heavy use. Noritz backs that confidence with an industry-leading 10-year warranty on the heat exchangers, a notable differentiator in a market where downtime can be as costly as energy inefficiency.

Scaling Without Compromise

While the NCC199’s individual performance is important, Commercial One is less about single units and more about system-level thinking. Noritz is emphasizing how multiple NCC199 units can be linked to create scalable, redundant systems that deliver continuous hot water—even during maintenance.

That systems approach is enabled in part through Facilities Resource Group (FRG), a Noritz Group company based in Grand Rapids, Michigan. FRG designs, builds, installs, and services commercial multi-unit rack systems anchored by the NCC199, with a focus on businesses where hot water interruptions simply aren’t an option.

Fast-food and casual dining chains are a prime example. FRG’s client roster includes Texas Roadhouse, Panera Bread, Love’s, and Chili’s, operations where peak demand, tight margins, and uptime expectations collide.

“Our commercial systems are designed with redundancy firmly in mind,” said Ben Wirick, vice president at FRG. By linking multiple Noritz tankless units, he explained, individual heaters can be serviced without interrupting hot water supply—a critical capability for 24/7 or high-volume operations.

Intelligent Load Sharing at Commercial Scale

In multi-unit configurations, Noritz systems are designed to communicate and balance workloads automatically. Rather than overworking a single heater, the system distributes demand evenly, helping extend equipment life and maintain consistent output.

According to FRG, isolation valves and system controllers ensure proper operation and even wear across units, offering facility owners operational predictability and fewer surprise failures. At the upper end, linked Noritz systems can deliver up to 9.1 million BTU per hour and 316 gallons per minute, pushing tankless technology into territory once dominated by large centralized boilers and storage tanks.

This approach aligns with a broader industry shift toward modular infrastructure—systems that scale incrementally, fail gracefully, and adapt to changing demand rather than relying on oversized, monolithic equipment.

Rack Systems Designed for Real-World Installations

Noritz’s Commercial One message also highlights the physical infrastructure that supports these systems. The company offers multiple rack and manifold configurations tailored to different commercial environments:

  • CR61 Rack: A pre-fabricated, multi-unit racking system designed for flat rooftops or mechanical rooms in large commercial facilities.

  • Commercial Manifold and Rack Kits: Wall-hung CMK Manifold Kits and floor-mounted CRK Rack Kits, pre-assembled in the U.S. and shipped flat-packed to simplify transport and on-site assembly.

  • Total Tankless Solutions (TTS) Synergy Series: A highly customizable platform that combines up to six NCC199 units in a single rack with centralized connection points for water, gas, power, venting, condensate, and circulation.

The TTS approach is particularly aimed at accelerating replacements of large centralized domestic water-heating systems. With integrated storage tank options and fewer connection points, Noritz says the system can significantly reduce on-site labor and downtime—key concerns for retrofit-heavy sectors like hospitality, healthcare, and education.

Positioning for a Broader Commercial Push

For Noritz, Commercial One is as much about perception as product. Tankless technology has long been associated with residential efficiency and point-of-use applications. This campaign reframes it as a robust, enterprise-grade solution capable of serving restaurants, schools, hospitals, hotels, apartments, and even agricultural and industrial operations.

“Our products are engineered and built to remove the worry over having enough hot water,” said Jason Fleming, Executive Vice President and General Manager at Noritz. The message is clear: reliability and scalability are no longer trade-offs for efficiency.

 

As commercial operators increasingly demand energy efficiency without sacrificing resilience, Noritz’s system-centric approach—and its emphasis on redundancy and modular growth—positions the company squarely in the conversation about next-generation commercial water heating.

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C5i Launches Agent5i to Help Enterprises Finally Scale Agentic AI—Safely and at Speed

C5i Launches Agent5i to Help Enterprises Finally Scale Agentic AI—Safely and at Speed

artificial intelligence 22 Jan 2026

Enterprise interest in agentic AI is surging—but for many organizations, progress still stalls after early pilots. Autonomous agents promise faster decisions, lower costs, and continuous optimization, yet real-world deployment exposes a tougher reality: fragmented systems, unclear governance, unreliable outputs, and AI that struggles to understand business context.

C5i believes that gap between promise and practice is structural. With the launch of Agent5i, the AI and analytics firm is introducing an enterprise-grade platform designed to help organizations confidently operationalize and scale agentic AI across the business—without sacrificing control, compliance, or predictability.

Positioned as an end-to-end operating layer for agentic systems, Agent5i unifies planning, intelligence, governance, and systems integration into a single platform that turns business intent into governed, production-ready workflows.

Moving Agentic AI Out of the Lab

As enterprises increase investment in autonomous agents, many discover that existing tools were built for experimentation, not operations. Disconnected orchestration layers, limited observability, and brittle integrations make it difficult to move beyond proofs of concept.

Agent5i is designed explicitly for this transition. Rather than treating agents as isolated automations, the platform treats them as enterprise assets—planned, governed, monitored, and continuously optimized over their full lifecycle.

At its core is a semantic architecture that ensures every agent and workflow interprets business rules, data, and constraints consistently. This shared understanding reduces ambiguity, a common source of failure in AI-driven automation, and enables more predictable performance across functions and teams.

The result is a platform aimed not just at automation, but at operational AI—systems that behave reliably under real-world conditions.

From Business Intent to Governed Workflows

Agent5i’s lifecycle approach begins before a single agent is deployed. In the planning phase, the platform translates business goals into reimagined, auditable workflows enriched with domain context, regulatory constraints, cost transparency, and defined points for human oversight.

This design-first model addresses a common enterprise challenge: AI systems that optimize locally but fail globally. By embedding operational realities and compliance requirements from the outset, Agent5i helps organizations avoid costly rework later.

Developers and AI teams work within a unified environment that accelerates agent creation while enforcing enterprise standards. Testing, approvals, and policy checks are built into the workflow, reducing friction between innovation teams and governance stakeholders.

Once agents move into production, Agent5i provides full observability—tracking agent behavior, decision logic, performance metrics, cost drivers, and business outcomes. Automated tuning patterns continuously refine reliability and efficiency, helping systems improve over time without constant manual intervention.

Solving the Integration Problem

One of the biggest barriers to enterprise-scale agentic AI is integration. Agents often need to operate across ERP systems, CRMs, data warehouses, and unstructured data sources, yet many platforms rely on brittle custom connectors.

Agent5i includes more than 150 pre-built connectors and a unified tool ecosystem designed to plug directly into core business platforms. This enables agents to operate within the same systems as human teams, rather than alongside them.

By bridging structured and unstructured data, business logic, and operational systems, Agent5i creates a continuous decision flow—connecting insight to action in real time. This connectivity is critical for organizations looking to automate end-to-end processes rather than isolated tasks.

From Pilots to Enterprise Impact

C5i’s experience working with Fortune 500 organizations shapes much of Agent5i’s positioning. According to the company, enterprise deployments of agentic AI have already delivered faster process turnaround and millions of dollars in identified cost and revenue impact through more accurate, contextual decision-making.

What Agent5i aims to do is scale those outcomes across the enterprise. The platform is designed to support use cases spanning finance, supply chain, marketing, operations, human resources, and customer service—areas where decision velocity and consistency directly affect business performance.

This breadth reflects a growing reality: agentic AI is no longer confined to IT or data science teams. It is becoming an operational capability that cuts across functions.

Context and Governance as Differentiators

What sets Agent5i apart, according to C5i, is the depth of embedded domain context. The platform includes predefined agent libraries and workflow templates tailored to specific industries and business functions, built on years of hands-on enterprise work.

This gives organizations a head start—reducing the time required to design agents that understand real business constraints rather than abstract logic.

Equally important is governance. Agent5i includes a robust system where every decision, action, and interaction can be traced, validated, and audited. In an era of increasing regulatory scrutiny and internal risk management, this level of transparency is becoming non-negotiable.

By creating a controlled AI environment, Agent5i allows enterprises to scale automation while maintaining regulatory adherence and operational assurance.

A Platform for the Next Phase of Enterprise AI

Ashwin Mittal, Executive Chairman of C5i, frames Agent5i as more than a product launch. “Agent5i is the architectural shift that defines the next decade of enterprise operations,” he said, describing it as the foundation for a trusted, human-in-the-loop digital workforce.

That framing aligns with a broader shift in enterprise AI strategy. The conversation is moving away from isolated use cases and toward platforms that can support autonomy, oversight, and continuous improvement at scale.

 

Agent5i enters a fast-evolving market, where enterprises are actively searching for ways to turn agentic AI from experimentation into infrastructure. Its emphasis on context, governance, and lifecycle management suggests a clear thesis: the future of enterprise AI will belong not to the most autonomous systems, but to the most operationally trustworthy ones.

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