marketing 6 Feb 2026
TechnoMile is making a clear play for narrative authority in the federal market. The AI-driven platform provider has brought on Tom Temin, one of the most recognizable voices in government technology journalism, as Strategic Media Advisor, while launching a new long-form show aimed squarely at federal and GovCon decision-makers.
The program—TechnoMile’s Federal Market Frontlines with Tom Temin—will spotlight the policy, technology, and operational shifts reshaping how government agencies and contractors do business. It’s a move that signals TechnoMile’s ambition to become more than just a software vendor in the federal ecosystem—and instead position itself as a trusted convener of insight at a time when acquisition, compliance, and AI adoption are all in flux.
For federal technology insiders, Temin needs little introduction. With more than three decades covering federal IT, acquisition, and management, he’s best known for his tenure as a host and columnist at Federal News Network, where his interviews have long served as a reality check amid policy hype cycles.
That credibility matters. The federal market is navigating one of its most complex transitions in years: generative AI is colliding with procurement rules written decades ago, compliance expectations are expanding, and agencies are under pressure to modernize without compromising mission security.
“Tom has built trust with the government and GovCon community by asking thoughtful questions and making complex issues understandable,” said Shayne Forsyth, SVP of Marketing at TechnoMile. “This show brings diverse perspectives on how policy, technology, and execution intersect to shape mission outcomes.”
That emphasis on intersection—not abstraction—is what differentiates the show from typical vendor-sponsored content.
Rather than focusing narrowly on product announcements or surface-level trend talk, Federal Market Frontlines is designed to examine the practical realities facing agencies and contractors alike. Planned topics include:
AI in federal acquisition, from opportunity identification to compliance oversight
FAR modernization and how evolving regulations affect both primes and subcontractors
Executive-level policy shifts and their downstream operational impact
Industrial security and compliance, increasingly critical as supply chains globalize
The changing demands on GovCon teams, from BD to contract management
Each episode will feature senior executives, agency leaders, and subject matter experts, grounding discussions in real-world decision-making rather than theoretical frameworks.
That’s a notable distinction in a market where AI conversations often outrun implementation reality.
TechnoMile positions itself as an AI platform that unifies growth, contracts, compliance, and security workflows—four areas that are often siloed across different systems and teams. By anchoring a media property around these same intersections, the company is reinforcing its strategic narrative through thought leadership rather than feature lists.
This approach reflects a broader trend in B2B and GovTech marketing: owning the conversation before owning the deal. As procurement cycles lengthen and buying committees grow more complex, trust and education increasingly influence outcomes upstream.
Temin’s role as Strategic Media Advisor extends beyond hosting duties. According to TechnoMile, he will help shape the platform to reflect the entire federal ecosystem—from investors and executives to the operational teams responsible for opportunity development, contract execution, compliance, and security.
In other words, the audience isn’t just policy wonks or CIOs—it’s the people who live with the consequences of federal decisions every day.
Temin himself framed the show as an extension of his career-long focus on collaboration between government and industry.
“I’ve spent my career focused on how government and industry work together to deliver results,” he said. “This new show will surface real-world perspectives from leaders navigating AI adoption, acquisition modernization, and shifting operational demands.”
That framing is timely. As agencies experiment with AI while contending with workforce constraints and legacy systems, the gap between policy intent and operational execution is widening. Programs that interrogate that gap—rather than gloss over it—are likely to resonate.
The first episodes of Federal Market Frontlines with Tom Temin are set to launch in the coming weeks, with distribution across TechnoMile’s website, major podcast platforms, and YouTube. The multi-channel approach reflects how federal audiences increasingly consume content—on demand, across formats, and often outside traditional trade media.
For TechnoMile, the move reinforces a broader strategy: pairing AI-driven operational tools with credibility-driven storytelling. In a federal market defined by trust, compliance, and long-term relationships, that combination may prove as important as any software capability.
Get in touch with our MarTech Experts.
marketing 6 Feb 2026
Vonage is doubling down on a message the enterprise market is starting to hear clearly: the mobile network itself is becoming a critical layer of digital trust. The Ericsson-owned communications platform has won two 2026 Juniper Research Future Digital Awards, earning Platinum for Network API Solution Innovation and Gold for Best Mobile Identity Solution.
At the center of the recognition is the Vonage Identity Insights API, a network-based service designed to help enterprises verify users, prevent fraud, and improve digital experiences by tapping directly into real-time mobile network intelligence.
In an era of escalating fraud, account takeovers, and SIM-based attacks, Juniper’s nod signals growing industry consensus that traditional authentication methods—passwords, one-time passcodes, even app-based verification—are no longer sufficient on their own.
The Future Digital Awards, presented annually by Juniper Research, recognize companies shaping the next phase of digital infrastructure. Vonage’s win reflects a broader shift underway in enterprise security and identity: network-level signals are becoming as important as application-layer defenses.
The Identity Insights API pulls intelligence directly from mobile operators, enabling enterprises to detect events like SIM swaps in real time. That capability has become increasingly valuable as fraudsters exploit weaknesses in SMS-based authentication and social engineering tactics.
By surfacing trusted network signals—data that applications can’t easily fake—Vonage is positioning its APIs as a foundational layer for modern identity verification.
“With the Vonage Identity Insights Network API, we provide enterprises with next-generation network intelligence to validate users, prevent fraud, and elevate customer experiences,” said Christophe Van de Weyer, President and Head of Business Unit API at Vonage.
This isn’t a one-off win. The Juniper awards build on Vonage’s recent designation as an Established Leader across three Juniper Research reports covering:
The Network APIs Market
The Global Mobile Identity Market
A2P and Business Messaging
Together, those reports highlight Vonage’s global network reach and breadth of communications APIs, spanning SMS, RCS, WhatsApp, and other rich messaging channels.
That matters because network APIs don’t operate in isolation. Their value compounds when combined with messaging, verification, and customer engagement tools—areas where Vonage already has deep enterprise penetration.
One of the persistent tensions in digital identity is the tradeoff between security and user experience. More friction reduces fraud—but often at the cost of conversions. Network APIs offer a way out of that stalemate.
Because Identity Insights operates behind the scenes, enterprises can strengthen fraud detection without adding steps for the end user. That’s increasingly attractive in industries like fintech, e-commerce, and digital services, where abandoned logins and failed verifications directly impact revenue.
The use of SIM swap detection is particularly timely. As regulators and enterprises scrutinize mobile-based authentication, network-derived trust signals are emerging as a safer alternative to SMS-only verification flows.
Vonage’s progress also reflects Ericsson’s broader ambition to monetize telecom networks through APIs, turning carrier infrastructure into programmable assets for enterprises and developers.
As telcos look beyond connectivity revenue, network APIs—identity, quality of service, location, and fraud signals—are becoming central to their growth strategies. Vonage’s recognition suggests that this model is moving from concept to execution.
For enterprises, that means easier access to signals that were once locked inside carrier systems. For the industry, it signals a gradual but meaningful convergence between telecom infrastructure and cloud-native application development.
Vonage’s double win at the 2026 Juniper Research Future Digital Awards underscores a shift that’s easy to miss amid louder AI headlines: trust is becoming a network-native capability.
As digital fraud grows more sophisticated and user tolerance for friction shrinks, enterprises are looking deeper into the stack for answers. Network APIs—once niche—are fast becoming a strategic differentiator.
Vonage, it seems, is betting that the future of identity doesn’t live solely in apps or devices—but in the networks connecting them.
Get in touch with our MarTech Experts.
marketing 6 Feb 2026
Genius Sports is making its boldest move yet to control not just sports data—but the audience attention that turns data into dollars. The company announced a definitive agreement to acquire Legend, a global digital sports and gaming media network, in a deal valued at up to $1.2 billion, combining cash, stock, and performance-based earnouts.
The acquisition marks a strategic pivot for Genius Sports: from a data and technology provider powering sportsbooks and leagues, to a fully integrated sports and gaming media network designed to monetize fan attention at scale.
If completed as planned in Q2 2026, the deal would dramatically reshape Genius Sports’ position in the sports betting, media, and advertising ecosystem—while signaling a broader industry shift toward owning the entire fan monetization funnel.
Under the agreement, Genius Sports will pay:
$900 million at closing
$800 million in cash
$100 million in stock
Up to $300 million in earnouts, split over two years post-close
The earnout is tied to profitability and free cash flow milestones, payable in cash or stock at Genius Sports’ discretion.
To fund the acquisition, Genius Sports plans to issue $850 million in Term Loan B financing, while keeping its revolving credit facility undrawn. Pro forma leverage is expected to remain below 3.0x, with management projecting rapid deleveraging—by more than half—by 2028.
Legend isn’t just another media property. It operates a scaled digital sports and gaming media network built explicitly to monetize moments of high fan intent—when users are researching teams, players, odds, or scores and are primed to act.
Its model blends:
Owned and operated digital properties
Syndicated sports and betting content across major publishers like Sports Illustrated and Yahoo Sports
Proprietary marketing technology optimized for performance-driven fan engagement
In 2025 alone, Legend generated:
320 million annual visits
118 million unique visitors
More than two-thirds returning regularly, a key signal of audience quality
For Genius Sports, this delivers something it previously lacked at scale: direct, predictable, audience-driven media revenue, rather than revenue tied primarily to data licensing and partner activity.
Genius Sports has long been a backbone of the sports betting ecosystem, supplying official data, integrity services, and technology to leagues, sportsbooks, and media companies. What it hasn’t owned—until now—is the fan relationship itself.
The Legend acquisition fills that gap.
By integrating Legend’s media network into FANHub, Genius Sports’ fan activation platform, the company plans to connect:
A massive global sports audience
World-class marketing technology
More than 2,000 combined sports, media, and betting partners
All through a single, unified platform.
“For Genius Sports and our global partners, it delivers more data, more audience, more inventory and greater monetization of sports fans,” said Mark Locke, CEO of Genius Sports.
In practical terms, this means Genius Sports can now influence the entire value chain—from fan discovery and engagement, to betting conversion, advertising, and long-term monetization.
Genius Sports expects the transaction to be immediately accretive to both Adjusted EBITDA margins and Free Cash Flow conversion, while maintaining at least 20% Group Revenue CAGR through 2028.
On a 2026 annualized pro forma basis, the combined company is targeting:
~$1.1 billion in Group Revenue
$320–330 million in Group Adjusted EBITDA
~50% Free Cash Flow conversion
Looking further ahead, the company raised its 2028 performance targets following the acquisition:
$1.6 billion in Group Revenue
~35% Adjusted EBITDA margin
At least 60% Free Cash Flow conversion
Those are aggressive benchmarks—and they underscore management’s confidence that media-led monetization will scale faster and more profitably than data licensing alone.
Notably, this acquisition comes as Genius Sports is already firing on all cylinders.
Preliminary, unaudited 2025 results show:
$669 million in Group Revenue, up 31% year-over-year
$136 million in Adjusted EBITDA, up 59%
20% EBITDA margin
$281 million in cash and equivalents
On a standalone basis, Genius Sports expects 2026 revenue of $810–820 million and Adjusted EBITDA of $180–190 million, implying margin expansion to roughly 23%.
In other words, this isn’t a company buying growth to cover weakness—it’s buying scale to accelerate momentum.
The Genius–Legend deal reflects a broader transformation underway in sports, betting, and media: attention has become the scarcest and most valuable asset.
As customer acquisition costs rise and regulatory pressure tightens, sportsbooks and advertisers are prioritizing owned audiences and performance-based media over broad-reach branding. Companies that control both fan data and fan attention are best positioned to win.
Legend’s model—connecting high-intent fans to relevant betting and gaming offers at precisely the right moment—fits squarely into that shift.
By bringing that capability in-house, Genius Sports reduces reliance on third-party platforms and strengthens its role as a strategic partner, not just a vendor.
The transaction is expected to close in Q2 2026, subject to customary conditions. Until then, investors and partners will be watching closely to see how quickly Genius Sports can integrate Legend’s media operations and technology into its broader platform.
If execution matches ambition, the deal could mark a turning point—not just for Genius Sports, but for how sports data companies think about growth in an attention-driven economy.
As Nick Kisberg, Founder of Legend, put it: “Joining forces with Genius Sports brings together two world-class teams and unlocks unparalleled growth opportunities.”
The bet is clear. The question now is how big the upside becomes when data, media, and monetization finally live under one roof.
Get in touch with our MarTech Experts.
marketing 6 Feb 2026
After years of budget scrutiny, stack consolidation, and cautious AI experimentation, marketing technology is entering a new phase. According to Stensul’s newly released 2026 MarTech Outlook, next year will mark both a budget rebound and a structural turning point in how organizations deploy AI.
The headline finding is hard to miss: 79% of organizations expect their MarTech budgets to increase in 2026. But the more consequential shift is where that money is going—and how marketing teams plan to use it.
Rather than treating AI as an add-on or experimental layer, companies are increasingly positioning it as a core MarTech investment, alongside workflow modernization and internal capability building. In short, AI is moving from pilot projects to production infrastructure.
For the past two years, AI in marketing has largely lived in proofs of concept, vendor demos, and isolated productivity gains. Stensul’s research suggests that era is ending.
“AI has moved beyond experimentation and into the center of the MarTech roadmap,” said Rachel Meranus, Chief Revenue and Marketing Officer at Stensul. “What stands out in this research is that companies aren’t just investing in tools—they’re investing in the training and workflows required to make AI work day-to-day.”
That distinction matters. Many early AI deployments failed to scale not because the technology was lacking, but because teams lacked the processes, skills, and governance to integrate AI into real campaigns. The 2026 outlook suggests marketers have learned that lesson.
The return of MarTech budget growth doesn’t signal a return to unchecked spending. Instead, investment decisions are becoming more pragmatic and outcome-driven.
Key findings from the report include:
79% of organizations expect MarTech budget increases in 2026
AI-powered tools rank as the top planned MarTech investment
57% plan to invest in AI reskilling for internal teams
31% expect to reduce spending on external agencies for campaign execution
The takeaway: growth is back, but it’s being channeled toward capability, not excess.
One of the more telling signals in the research is the move away from outsourced campaign execution. Nearly a third of respondents plan to reduce agency spend in this area, reflecting a broader operating-model shift already underway in many marketing organizations.
Rather than relying on agencies for speed or scale, teams are betting that AI-enabled in-house execution can deliver both—at lower cost and with greater control.
This doesn’t mean agencies are disappearing. Instead, their role is narrowing toward strategy, specialized expertise, and transformation support, while day-to-day execution increasingly lives inside the organization.
AI is the catalyst here. With the right workflows and training, internal teams can now execute tasks that once required external support—email production, personalization, testing, optimization—faster and more consistently.
What separates leaders from laggards in 2026 won’t be access to AI tools—most organizations will have those. The differentiator will be enablement.
Stensul’s data shows that companies are prioritizing:
Training teams to use AI responsibly and effectively
Redesigning workflows to embed AI into daily execution
Reducing friction between strategy, production, and launch
This focus reflects a maturing view of MarTech. Tools alone don’t create advantage; operational fluency does.
Organizations that fail to reskill their teams risk ending up with powerful platforms that deliver marginal returns. Those that invest in people and process alongside technology are positioning themselves to move faster, test more, and adapt continuously.
Another implication of the research is how marketers now conceptualize AI. Rather than viewing it as a discrete category—like email or analytics—AI is increasingly treated as horizontal infrastructure that touches every part of the stack.
That has downstream effects on vendor selection, integration strategy, and governance. It also raises the bar for MarTech leaders, who now need to think less like tool buyers and more like system architects.
In that sense, 2026 may be remembered as the year MarTech stopped being about accumulation and started being about orchestration.
For MarTech providers, the findings come with both opportunity and warning.
On one hand, rising budgets and AI-first priorities create tailwinds. On the other, buyers are becoming more discerning. Vendors that sell AI without clear enablement paths—or that add AI features without workflow integration—may struggle to justify spend.
The winners will be platforms that help teams execute better, not just experiment faster.
The Stensul 2026 MarTech Outlook is based on a quantitative survey of 321 economic buyers of marketing technology solutions, with respondents in the U.S. (n=269) and U.K. (n=52). The study examines budget expectations, investment priorities, AI adoption plans, and shifts in execution models heading into 2026.
The full report is available at Stensul’s website.
After years of recalibration, MarTech is entering a more disciplined—but more ambitious—growth phase. Budgets are rising, but expectations are rising faster. AI is no longer a side project, and in-house teams are reclaiming execution with the help of smarter workflows and better training.
If 2024 was about AI curiosity and 2025 was about AI caution, 2026 looks set to be the year AI actually gets to work.
Get in touch with our MarTech Experts.
ecommerce and mobile ecommerce 6 Feb 2026
As e-commerce growth shifts from “build a store and hope” to operational discipline and channel diversification, IDL Web Inc. is widening its scope. The Toronto-based web development and digital marketing agency has announced an expanded e-commerce service lineup, aimed at helping brands launch faster, operate more efficiently, and scale profitably across both owned storefronts and major marketplaces.
The expansion reflects a broader reality facing e-commerce teams in 2026: success is no longer tied to a single platform or tactic. Brands are expected to manage websites, marketplaces, fulfillment, marketing, and integrations simultaneously—often with lean teams and rising customer acquisition costs.
IDL Web’s updated offering is designed to meet that moment.
For years, many agencies positioned e-commerce services around site launches. That model is increasingly incomplete. Today’s brands need ongoing execution across marketing, operations, and marketplaces—areas where friction can quietly stall growth.
IDL Web’s expanded services move beyond one-off development projects into what the agency describes as a full e-commerce growth suite, supporting businesses across Canada, the U.S., and international markets.
The focus is less on flashy storefronts and more on repeatable revenue, channel expansion, and operational stability.
One pillar of the rollout centers on e-commerce marketing and go-to-market execution—an area where many early-stage and mid-market brands struggle to move from “decent sales” to consistent growth.
IDL Web’s e-commerce marketing services are designed for teams that need both strategy and hands-on execution, covering:
Go-to-market planning for new products
Product launch support and rollout coordination
Branding and rebranding initiatives
Private labeling and product sourcing guidance
Platform and tool integrations
Day-to-day operational support
This offering targets brands that may have a product and a platform, but lack the internal bandwidth or experience to connect marketing, operations, and execution into a cohesive system.
In practical terms, it positions IDL Web less as a vendor and more as an embedded execution partner—a model increasingly favored by growing e-commerce companies navigating platform sprawl and compressed timelines.
Not every e-commerce challenge starts with a blank slate. For many businesses, the store is live—but underperforming.
IDL Web’s Standard E-commerce Support offering focuses on improving performance across widely used platforms such as Shopify, WooCommerce, VirtueMart, and others. The emphasis here is operational reliability and incremental gains—the unglamorous but essential work that keeps revenue flowing.
Support includes:
Store builds and redesigns
Payment, shipping, and third-party integrations
Product page optimization
Platform upgrades and maintenance
Campaign execution and marketing support
This service is aimed at brands that don’t need reinvention, but need their existing stack to function better, faster, and with fewer bottlenecks.
As e-commerce margins tighten, this kind of foundational optimization has become more critical than aggressive experimentation.
Perhaps the most telling addition to IDL Web’s lineup is its expanded marketplace management services, reflecting how essential third-party platforms have become to e-commerce growth.
While marketplaces like Amazon, Walmart Marketplace, Wayfair, Etsy, and newer entrants such as TikTok Shop offer massive reach, they also introduce complexity that can erode margins if mismanaged.
IDL Web’s marketplace services are designed to reduce that learning curve, helping sellers with:
Marketplace account setup and compliance
Product listing creation and optimization
Large catalog management
Amazon Brand Registry support
Marketplace advertising execution
The goal is to help brands expand distribution without sacrificing control—or revenue—to platform missteps.
This is especially relevant as more brands adopt multi-channel strategies to offset rising paid media costs and reduce dependence on a single traffic source.
IDL Web’s expanded services arrive at a time when e-commerce is recalibrating. Growth hasn’t disappeared—but it’s become more operationally demanding.
Key pressures shaping the market include:
Higher customer acquisition costs
Increased competition on marketplaces
Rising expectations for fulfillment speed and UX
Platform algorithm volatility
Leaner internal teams
Agencies that offer isolated services—just development, just ads, or just SEO—often leave gaps brands must fill themselves. IDL Web’s approach reflects a shift toward end-to-end support, covering execution from launch through scale.
What distinguishes this expansion isn’t novelty—it’s pragmatism. The services are designed around how e-commerce actually works in practice: messy, multi-platform, and deeply operational.
By combining storefront optimization, marketing execution, and marketplace management, IDL Web is aligning its offerings with how brands grow today—not how e-commerce was imagined a decade ago.
For businesses selling across owned and third-party channels, that integrated approach may matter more than any single feature or platform expertise.
As e-commerce matures, success is increasingly defined by systems, consistency, and execution discipline. Agencies that understand that shift—and build services accordingly—stand to become long-term partners rather than project vendors.
IDL Web’s expanded e-commerce service lineup reflects that evolution. It’s a bet that brands don’t just need better stores—they need better ways to run them.
Get in touch with our MarTech Experts.
artificial intelligence 6 Feb 2026
Retail is no longer anchored to a single counter—or even a single channel. Between pop-up events, mobile checkout, and hybrid online-offline operations, today’s retailers need systems that move as fast as their customers. SeoSamba POS is betting that legacy registers and bulky hardware are holding businesses back.
Designed for multi-store operators and agile retailers alike, SeoSamba POS unifies in-person and online sales in a single dashboard, with setup measured in minutes—not weeks. There’s no proprietary hardware, no coding, and no complex infrastructure to install. If you have a smartphone or tablet, you’re ready to sell.
At its core, SeoSamba POS is built around a mobile-first philosophy. Retailers can sell instantly from any iOS or Android device, accepting payments via tap-to-pay, Stripe card readers, or traditional wired methods—without cash registers or fixed terminals.
The platform wirelessly connects to printers for receipts and includes a built-in barcode scanner, allowing staff to intake products and check out customers on the fly. For pop-ups, events, and temporary locations, that flexibility removes a major operational barrier.
This approach reflects a broader retail trend: checkout is becoming distributed, not centralized. Customers don’t want to queue, and retailers don’t want to invest in hardware that can’t move.
What sets SeoSamba POS apart is its ambition to collapse multiple systems into one. Rather than stitching together a POS, e-commerce platform, and CRM, SeoSamba offers a single system for point of sale, online storefronts, and customer management, accessible via mobile or web.
That consolidation matters for small and mid-sized retailers, where tech sprawl often leads to mismatched inventory, delayed reporting, and higher costs. With SeoSamba, sales, inventory, customers, and fulfillment sync in real time across locations and channels.
For multi-store operators, that means fewer blind spots. For lean teams, it means fewer tools to manage.
One of SeoSamba POS’s more practical features is Quick Sale mode, which allows retailers to process ad-hoc transactions without a prebuilt product catalog. That makes it particularly useful for pop-ups, flea markets, fundraisers, and live events, where speed matters more than structured inventory.
This nimble approach contrasts with traditional POS systems that assume fixed SKUs, static pricing, and permanent locations—assumptions that increasingly don’t match how retail works today.
SeoSamba POS also leans into AI—not as a buzzword, but as a time-saver. The platform includes:
AI-generated product descriptions
Pricing assistance
In-app barcode scanning for instant product creation
Real-time inventory sync across POS and online stores
For retailers managing hundreds—or thousands—of SKUs, these features reduce manual data entry and help standardize listings across channels. It’s a quiet productivity gain, but one that adds up quickly in day-to-day operations.
Beyond transactions, SeoSamba POS bakes marketing directly into the platform. Retailers can automatically request customer reviews via SMS or email, launch email and text campaigns, and post to social networks without exporting data to third-party tools.
That integration reflects a growing recognition that POS systems aren’t just checkout tools—they’re data hubs. When customer activity, purchase history, and engagement live in one place, outreach becomes both easier and more targeted.
For retailers operating multiple locations, SeoSamba POS offers real-time synchronization of sales, inventory, shipping, and customer accounts across all stores. Features like gift cards, coupons, free shipping options, and cross-location fulfillment support more flexible selling models—buy in one location, pick up in another.
This is especially relevant for franchises and regional chains trying to compete with larger retailers without adopting enterprise-scale systems.
Gone For Good, a multi-store thrift store franchise in Colorado, was among the early adopters of SeoSamba POS. According to CEO Reid Husmer, the platform helped modernize both in-store operations and the company’s online thrift presence.
“For a growing franchise, we needed a POS that was easy to roll out, simple for store teams to use, and effective at driving local customers,” Husmer said. “SeoSamba POS delivers all of that—from AI-assisted product listings to Google integration—backed by responsive support you can actually rely on.”
That emphasis on rollout simplicity and support is telling. For many retailers, the biggest barrier to modernization isn’t ambition—it’s disruption.
SeoSamba POS arrives as retailers rethink what “point of sale” actually means. The counter is no longer the center of commerce; the customer is. Systems that prioritize mobility, integration, and speed are replacing those designed for static environments.
By combining POS, e-commerce, CRM, AI-assisted workflows, and built-in marketing—without locking users into proprietary hardware—SeoSamba is positioning itself for a retail landscape defined by flexibility rather than footprint.
For retailers juggling storefronts, pop-ups, and online sales, that flexibility may be the difference between keeping up and falling behind.
Get in touch with our MarTech Experts.
artificial intelligence 6 Feb 2026
Enterprise AI teams don’t lack ideas—they lack time. Between standing up infrastructure, wiring data sources, enforcing security, and proving compliance, building production-ready AI agents often takes longer than the business will tolerate. Qubika is aiming to close that gap.
The company has announced the public launch of QBricks, a Built on Databricks solution designed to streamline the entire lifecycle of enterprise AI agents, from development and evaluation to deployment and ongoing observability.
Already in use across multiple Qubika client environments, QBricks now enters the market as a centralized accelerator built for scale, compliance, and real-world enterprise constraints.
QBricks is positioned as a response to one of the biggest friction points in AI adoption: the amount of undifferentiated work required just to get started. Teams often spend weeks—or months—setting up infrastructure, building connectors, configuring monitoring, and hardening security before an agent ever reaches production.
QBricks abstracts much of that groundwork.
By running natively on the Databricks Data Intelligence Platform, the accelerator allows development teams to focus on agent logic and business outcomes, rather than plumbing. The result, according to Qubika, is dramatically reduced time to value for intelligent agent initiatives.
Unlike many low-code or no-code agent builders that prioritize ease over governance, QBricks is explicitly designed for regulated, enterprise-grade environments.
Key benefits include:
Secure and compliant by default, adhering to SOC 2, GDPR, and ISO 27001 standards
Enterprise-grade data privacy, with all data encrypted, access-controlled, and fully contained within the customer’s cloud or preferred infrastructure
Native Databricks integration, supporting deployment across any major enterprise cloud setup
No vendor lock-in, with agents delivered as reusable, standalone code that can run on mainstream agent orchestrators outside of Qubika
That last point is especially notable in a market increasingly wary of proprietary AI platforms that are easy to start—but hard to leave.
QBricks isn’t just an infrastructure shortcut. It provides a production-ready agent ecosystem with tooling designed to support long-term operation, not just initial deployment.
Core capabilities include:
A library of pre-built agents and workflows
A visual agent workflow builder
An evaluation framework to test and compare agent performance
End-to-end observability dashboards for monitoring behavior, performance, and reliability
The platform also includes a curated library of agent templates covering common enterprise use cases such as retrieval-augmented generation (RAG) systems, translation workflows, and API-driven automations—patterns many teams are already building from scratch.
QBricks is built using Databricks Lakebase, Vector Search, and GraphFrames, tying agent behavior directly to the same data platforms enterprises already rely on for analytics and machine learning.
That alignment reflects a growing trend in enterprise AI: agents are no longer standalone tools—they’re becoming extensions of the data platform itself.
Databricks, which now serves more than 20,000 organizations, has been positioning its platform as the foundation for analytics, AI applications, and agent-based systems. QBricks effectively layers enterprise-ready agent acceleration on top of that foundation.
The AI agent ecosystem is rapidly filling with tools promising faster builds and easier workflows. According to Sebastian Diaz, SVP of Data & AI at Qubika, QBricks’ differentiation comes down to data-native design and portability.
“The key differentiator of QBricks compared to other low-code/no-code AI workflow builders is that it has native data integration with data platforms and external data sources,” Diaz said. “We ensure that the agents developed are fully portable and our clients can continue to manage, deploy, and evolve them completely independently.”
That emphasis on portability and independence directly addresses a growing enterprise concern: how to scale AI initiatives without surrendering architectural control.
QBricks’ launch reflects a broader shift in enterprise AI adoption. As organizations move beyond pilots, they’re demanding platforms that deliver:
Governance and compliance out of the box
Deep integration with existing data estates
Observability and evaluation at scale
Freedom from vendor lock-in
In that context, accelerators like QBricks are becoming less about speed alone—and more about making AI operationally sustainable.
For enterprises building intelligent agents that must live inside complex, regulated environments, that sustainability may matter more than novelty.
Get in touch with our MarTech Experts.
marketing 6 Feb 2026
As B2B buying journeys become longer, less linear, and increasingly shaped by search—both human and AI-driven—Angelfish Marketing is repositioning itself for that reality. The UK-based digital marketing agency has unveiled a new brand identity and redesigned website, signaling a clear evolution toward search-led growth for SaaS, technology, and B2B brands.
The refresh introduces a modern visual identity, updated color palette, and refined messaging, but the changes go deeper than aesthetics. The new positioning reflects how Angelfish now frames its work: helping B2B companies win visibility, demand, and revenue in an environment where search engines, AI assistants, and paid media increasingly influence decisions long before sales conversations begin.
Unlike traditional agency rebrands that focus on tone or personality, Angelfish’s website redesign is structured around how modern B2B buyers research, evaluate, and convert. Content and navigation are designed to map to real-world buying behavior—multiple touchpoints, extended evaluation cycles, and a growing reliance on search as the first and last mile of demand generation.
The agency’s updated messaging emphasizes its expanding expertise across:
SEO and organic search
Paid search and performance media
Content strategy for demand and pipeline
AI-driven search visibility, including optimization for emerging discovery models
That blend reflects a wider industry shift. As AI-generated answers, zero-click search results, and intent-driven paid media reshape visibility, B2B marketers are under pressure to prove not just traffic—but impact.
Angelfish’s refresh reinforces its focus on performance and ROI, a theme increasingly central to B2B marketing budgets in 2026. The agency positions itself as a partner to in-house teams tasked with showing clear links between digital activity and pipeline outcomes—no small feat in complex, multi-stakeholder sales cycles.
“This refresh is about better representing the work we’re doing and the results we’re delivering,” said Dom Moriarty, Head of Growth at Angelfish Marketing. “Over the past few years, we’ve built deep experience supporting SaaS and technology brands with search-led strategies that drive visibility, pipeline, and revenue.”
That emphasis mirrors a broader trend across B2B marketing services: fewer generalists, more specialists who can tie search performance directly to commercial metrics.
The new site positions Angelfish explicitly as a B2B digital marketing, search, and SEO agency, but the framing is less about channels and more about outcomes. The agency works alongside internal marketing teams to increase qualified demand, improve visibility at key buying moments, and clarify the impact of digital investment.
Angelfish’s client base spans SaaS, technology, recruitment, professional services, and financial services, sectors where trust, expertise, and discoverability are tightly linked.
Rather than acting as an execution-only vendor, the agency emphasizes its role as a strategic growth partner, combining data-led insight with hands-on delivery designed to scale.
The timing of the rebrand is notable. As AI reshapes search behavior and B2B buyers self-educate more deeply before engaging sales, agencies are being forced to rethink how they approach visibility and demand generation.
Search-led growth—where SEO, paid media, content, and AI discovery are treated as a unified system—is emerging as a core strategy for B2B teams under pressure to do more with leaner budgets.
Angelfish’s repositioning reflects that shift, aligning its brand with how B2B marketing actually works today—not how it worked when SEO was just about rankings.
To coincide with the new brand and website launch, Angelfish is offering a free B2B marketing consultation, aimed at helping companies assess their current search performance and identify growth opportunities heading into 2026.
For B2B and SaaS brands navigating increasingly complex search and discovery landscapes, the relaunch underscores a simple message: visibility isn’t just about being found—it’s about being found at the right moment, for the right reasons.
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