Contact centers have long been caught in a tug-of-war between cutting costs and keeping customers happy. The formula has often been simple: squeeze agents harder while deploying more scripts, dashboards, and tracking software. The result? Burnout for humans, frustration for customers.

AmplifAI thinks it has a better answer. The Dallas-based company, founded in 2018, has raised $33.7 million in Series B funding and credit facility to fuel its vision of blending human intelligence and artificial intelligence into one seamless performance platform. The round was led by CVS Health Ventures, with continued support from LiveOak Ventures and Dallas Venture Partners.

The funding will accelerate AmplifAI’s push to scale across industries like healthcare, financial services, telecom, and retail—markets where customer experience can make or break loyalty.

What AmplifAI Actually Does

AmplifAI positions itself as a human + AI orchestration layer for the contact center. The pitch: let AI handle the routine “password reset” or “shipment tracking” calls, freeing up human agents for emotionally nuanced, complex issues that require empathy.

But it goes further than routing. AmplifAI unifies customer surveys, call recordings, chat logs, chatbot transcripts, metrics, and behavioral data into a single system. Generative AI then analyzes this firehose of information to:

• Identify systemic issues (e.g., recurring product glitches or confusing billing steps).

• Generate real-time coaching and tailored feedback for agents.

• Trigger workflows and automated actions to resolve customer pain points faster.

In theory, it’s a closed loop of performance optimization: AI diagnoses problems, coaches agents, and executes fixes—all while delivering measurable improvements in conversion, resolution, and customer satisfaction.

A Market Under Pressure

The timing isn’t accidental. Contact centers are under more pressure than ever:

• Costs are climbing as wages rise and turnover remains stubbornly high.

• Customers are less forgiving, with loyalty hanging by a thread in competitive sectors like healthcare and retail.

• AI hype is hitting full stride, with rivals from Nice and Five9 to Genesys and Talkdesk racing to bake generative AI into their platforms.

Where AmplifAI differentiates itself is in unifying both sides of the workforce. Most competitors either focus on automation (AI agents replacing humans) or on agent performance (training, QA, coaching). AmplifAI insists the future is hybrid: human agents augmented by AI, both optimized in the same system.

Investors Are Buying the Vision

“AmplifAI’s capabilities are bringing greater consistency and effectiveness to call center operations by giving leaders clear insight into behaviors and practices that drive success,” said Vijay Patel, CVS Health Ventures.

Translation: it’s not just about faster call resolution—it’s about systematically coaching an entire workforce at scale, without relying on hit-or-miss manual training. For a company like CVS, which operates massive contact centers, that kind of efficiency could ripple into billions saved and millions of happier customers.

Results That Turn Heads

AmplifAI claims some eye-catching metrics from existing deployments:

• Sales conversions up 100%

• Cost per contact down nearly 10%

• First-contact resolution improved by 20%+

That kind of performance lift explains why AmplifAI was named a Gartner Cool Vendor (2024) and tagged as a Leading Pioneer in Automated QA/QM by CMP Research.

The CEO’s Take

“We are reimagining the contact center with human-centric AI—empowering people to be more effective while virtual agents reduce costs,” said Sean Minter, CEO of AmplifAI.

It’s a careful phrasing: the company doesn’t present AI as replacing humans, but as rebalancing their workload. In practice, that may be exactly the balance regulators, customers, and employees are looking for.

Implications: Beyond the Call Center

The AmplifAI approach could also spill into other industries where human and AI workflows collide—think banking back offices, retail service desks, or even healthcare patient support. The company’s traction with Fortune 500 players suggests the platform isn’t just theoretical but scalable in environments with thousands of employees.

Still, AmplifAI faces steep competition. Giants like Salesforce (with Einstein AI) and Microsoft (via Nuance) are circling the same market, and contact center operators are notoriously slow to rip and replace existing infrastructure. The challenge will be proving AmplifAI can coexist with, rather than compete against, entrenched systems.

The Bottom Line

AmplifAI’s $33.7 million raise signals strong investor belief in a hybrid AI-human model for the future of customer experience. As privacy concerns, customer expectations, and cost pressures mount, companies need smarter ways to blend empathy with efficiency.

If AmplifAI delivers on its promises, contact centers might finally stop being the customer’s least favorite place—and start becoming a competitive advantage.

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Small businesses rarely get the kind of enterprise-grade tools that Fortune 500 companies take for granted. CRMs are either too expensive, too complex, or too fragmented, while customer calls still vanish into voicemail black holes after hours.

Max Pull Marketing, a digital marketing agency based in New York, thinks it’s found the solution. The company just launched Magnet Suite CRM and Magnet Caller, a pair of AI-powered tools designed to centralize business operations, automate workflows, and give small and mid-sized businesses (SMBs) a fighting chance against better-funded rivals.

Breaking Down the Tools

• Magnet Suite CRM: Think of it as a Swiss Army knife for SMB operations. It manages workflows, payments, forms, analytics, lead tracking, follow-ups, and customer records—all in one dashboard. Businesses can send invoices, link payments to profiles, and keep tabs on customer activity without juggling half a dozen disconnected apps.

• Magnet Caller: An always-on AI assistant that handles inbound calls, schedules appointments, and captures leads even after hours. No more “sorry we missed your call”—Magnet Caller makes sure businesses stay responsive 24/7.

Together, the two tools aim to plug critical gaps: lost leads, missed calls, and scattered data. For SMBs already stretched thin, the pitch is straightforward—enterprise-level capabilities at small-business prices.

Why It Matters

In today’s digital economy, customer expectations don’t care about company size. A missed call or delayed follow-up can mean losing a customer to a competitor. Enterprise firms solve this with expensive platforms like Salesforce, HubSpot, or Zendesk. SMBs, meanwhile, are often left piecing together spreadsheets, Gmail, and Post-it notes.

By packaging AI automation with a lightweight CRM, Max Pull Marketing is betting there’s pent-up demand for an affordable alternative that doesn’t require a dedicated IT team to run.

Early Wins

The company already has proof points:

• Healthcare franchise client: +40% consultations booked by capturing after-hours inquiries.

• Kontota Grooming: +42% revenue and +200% local visibility.

• Long Island Spine Specialist: +61% patient inquiries.

• Crown Findings: +55% engagement and +37% conversions.

These kinds of numbers suggest SMBs don’t just need more leads—they need systems that prevent leaks in the funnel.

Market Context

The launch comes at a time when SMB-focused AI platforms are booming. Rivals like Zoho and Freshworks have been aggressively targeting this market, while enterprise players are scaling down offerings to win smaller accounts. The difference here is vertical focus: Max Pull built its platform while serving franchise and service-based brands, tailoring features like multi-location scheduling, web-form capture, and automated follow-ups.

Integration is another key play. With connections for Gmail, Outlook, QuickBooks, and more, Magnet Suite plugs into existing workflows instead of forcing businesses to rip out what they already use. Zapier integration is also on the roadmap, which could be a game-changer for SMBs who rely on niche apps.

Security and Scalability

For SMBs, security has historically been an afterthought—but not anymore. With rising data protection regulations, Max Pull emphasizes encryption and compliance to give businesses confidence their customer data won’t be compromised.

Equally important is scalability. The platform is designed to grow with the business, avoiding the costly, disruptive platform swaps that plague growing companies.

The Founder’s Take

“Our goal is to give SMBs enterprise-level operational tools at a small-business price,” said Raffi Ohanian, founder of Max Pull Marketing. “By combining AI with their workflows, owners can focus on growth—not manual processes.”

The Bottom Line

The Magnet Suite CRM and Magnet Caller aren’t just about automation—they’re about leveling the playing field for SMBs. By bundling workflow automation, call handling, and lead management into one AI-powered platform, Max Pull Marketing is positioning itself as a credible challenger to bigger names in the CRM space.

For small businesses stuck between too-basic tools and too-costly enterprise platforms, this could be the middle ground they’ve been waiting for.

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If you’re a B2B marketer in 2025, one thing is clear: intent data is everywhere—and not all of it is useful. Most providers still rely heavily on third-party signals, scraped browsing patterns, or inferred activity that doesn’t always map to real buying intent.

pharosIQ thinks it can fix that. The company has announced expanded capabilities for its atlasIQ platform, promising “unmatched visibility into buyers worldwide.” By leaning on its own first-party content ecosystem—think case studies, reviews, pricing docs, and guides—pharosIQ claims it can surface true intent signals at the contact level, not just vague account-level guesses.

What’s New in atlasIQ

The latest release builds on pharosIQ’s proprietary engagement engine and contextual AI to give marketers a more detailed view of buyer behavior. New features include:

• TAM Visibility – Map where accounts sit in the funnel and see which contacts are most active.

• TAL Analysis – Understand which target accounts are actively evaluating solutions and their stage in the journey.

• Expanded Topic Intelligence – Move past broad keywords to capture nuanced product- or service-specific interests.

• Cohort-Level Insights – Segment buyers by industry, geography, revenue, or seniority to refine campaigns.

• Competitive Intelligence – Benchmark attention by comparing engagement with your content against rivals.

• Purchase Propensity Signals – Spot account-level trends across job functions and departments to prioritize outreach.

In short: atlasIQ isn’t just tracking who clicked a whitepaper—it’s showing what content matters, who’s engaging with it, and how close they are to making a decision.

Why It Matters

As privacy regulations tighten and cookies fade into irrelevance, first-party intent data is becoming marketing’s most valuable currency. pharosIQ’s model, which draws from content it owns and controls, offers a level of precision third-party providers struggle to match.

This isn’t just academic. For sales and marketing leaders, the difference between knowing who’s casually browsing and who’s downloading pricing docs after comparing vendors can mean the difference between wasted spend and closed deals.

Competitive Landscape

The intent data space is crowded. 6sense, Bombora, Demandbase, and ZoomInfo all pitch variations of account-based intent tracking. The catch? Many rely on third-party data partnerships or ad network footprints.

By contrast, pharosIQ positions atlasIQ as closer to the source—tracking engagement within its own network of B2B content. The result, the company argues, is not just better accuracy but better context, since it knows exactly which content assets are driving signals.

It’s a subtle but important distinction: instead of guessing at intent, atlasIQ claims to observe it directly.

Industry Voices

“These capabilities give B2B marketers a level of intelligence they’ve never had before,” said Chris Vriavas, Chief Strategy Officer at pharosIQ. “By owning the signals and modeling engagement at the contact level, atlasIQ empowers marketing and sales leaders to prioritize the right accounts, tailor messaging to buyer needs, and outmaneuver the competition globally.”

Translation: if you’re chasing accounts with generic keyword-based targeting, your rivals using atlasIQ may already be tailoring messages to buyers actively comparing them against you.

Looking Ahead

pharosIQ says it isn’t stopping here. The company teased additional features in the pipeline, focused on delivering even greater clarity into buyer behavior and vendor evaluation patterns. If atlasIQ continues to evolve, it could cement pharosIQ’s position as a go-to alternative in a market where “intent” has too often been a black box.

The Bottom Line

In a B2B landscape where marketing budgets are under scrutiny and sales cycles are lengthening, having clear, first-party insights into what buyers are actually doing is a serious advantage. With its latest updates, atlasIQ is making the case that precision beats scale when it comes to intent.

For marketers tired of noisy third-party signals, pharosIQ’s approach may feel like a long-overdue shift toward transparency. The big question now: will others follow suit, or will pharosIQ carve out a defensible niche as the first-party intent leader?

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When it comes to digital experience, fragmentation is the enemy. AB Tasty thinks it has the cure. The company today launched One Platform, a unified experimentation and personalization suite that brings client-side and server-side testing under one roof.

For years, product managers, marketers, and developers have been juggling multiple tools just to validate features, optimize customer journeys, and avoid botched rollouts. AB Tasty’s pitch: a single workflow that handles everything from progressive rollouts to cross-stack experimentation, complete with no-code tools for non-technical teams and robust APIs for developers.

Why It Matters

Experimentation has become a core pillar of digital product strategy, but siloed solutions have slowed teams down. AB Tasty is positioning One Platform as the bridge—connecting marketing’s need for quick tests with engineering’s need for safe deployments.

Key capabilities include:

• Safe, progressive rollouts – Control deployments to minimize risk.

• Cross-stack testing – Measure features across backend, web, and mobile.

• Unified customer journeys – Ensure consistent personalization everywhere.

• AI-driven insights – Optimize based on real sentiment and intent.

• Developer control – APIs, monitoring, and rollback baked in.

“Fragmented tools have forced teams into silos, leading to disruption, tests without impact, and potential mistakes,” said Rémi Aubert, AB Tasty Co-Founder and CEO. “One Platform closes that gap by giving product, marketing, and developer teams one place for experimentation, personalization, and feature management.”

The Bigger Picture

AB Tasty has been steadily bulking up its digital experience stack. In 2023, it acquired EmotionsAI to bring sentiment analysis into the fold. In 2024, it pushed into recommendation and merchandising tech. With One Platform, the company is signaling it’s no longer just another optimization vendor—it’s angling for a seat at the table alongside the likes of Optimizely, LaunchDarkly, and Adobe Target.

Co-founder Alix de Sagazan framed the move as part of a larger mission: “By bringing client-side and server-side experimentation into one platform, we’re empowering digital teams to align on outcomes, de-risk deployments, and deliver customer value faster than ever.”

What’s Next

With AI-powered insights and the promise of unified workflows, AB Tasty is betting that experimentation will shift from a niche activity to the cultural norm inside digital teams. If One Platform delivers, it could help companies move faster without breaking things—a balance many have yet to achieve.

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Healthcare access in the U.S. remains uneven, particularly in underserved and rural communities. Montage Marketing Group believes the answer lies on wheels. At the 21st Annual Mobile Health Clinics Conference, the company spotlighted its full-service mobile health and education tour programs—comprehensive initiatives that blend strategy, logistics, staffing, and community engagement to bring services directly to the people who need them most.

“Mobile units offer the flexibility to meet communities where they are, fostering trust and transparency,” said Tom Bever, Director at Montage. “They serve as community connectors, delivering vital information, services, and support directly to neighborhoods.”

Beyond the Van: Strategy Meets Scale

Montage isn’t just rolling out vehicles—it’s creating turnkey ecosystems. Programs cover everything from branding and experiential marketing to planning, compliance, and data optimization. Each mobile unit can be customized with exam rooms, refrigeration, ADA accessibility, and multilingual staff. A nationwide network of more than 10,000 community partners helps ensure culturally responsive outreach.

The company has even introduced an ROI calculator, showing partners how mobile initiatives can lower hospital visits and reduce long-term healthcare costs—an angle sure to resonate with cash-strapped public agencies and providers.

Proof in the Field

Montage has already designed and managed a federal health agency’s mobile exhibit fleet, which promotes precision-medicine research. That program has hit 250+ markets, sparked 100,000+ community conversations, and enabled 17,500+ account creations. For an outreach model often dismissed as niche or temporary, the scale is notable—it demonstrates mobile clinics can move beyond “pop-up” status to become lasting community infrastructure.

Health and Education on the Move

Montage’s mobile offerings span a wide range of services, including:

• Dental care: cleanings, screenings, sealants

• Preventive health: immunizations, chronic disease screenings

• Vision services: exams, prescription glasses, referrals

• Maternal health: prenatal and postpartum support

• Cancer screenings

• Behavioral health: counseling, mental health checks, substance use support

• Education and workforce development: mobile labs and exhibits for career pathways

By bringing medical and educational services directly to communities, Montage is betting on a hybrid model that combines healthcare equity with brand and partner visibility—a blend that might appeal as much to policymakers as it does to marketing strategists.

The Bigger Picture

Mobile health isn’t new, but momentum is growing. From Kaiser Permanente’s mobile clinics to city-funded outreach vans, the sector is expanding as healthcare systems wrestle with rising costs and accessibility gaps. Montage’s approach—integrating marketing, operations, and measurable outcomes—positions it as both a service provider and strategic partner for agencies and nonprofits looking to prove impact.

With equity, engagement, and efficiency increasingly driving healthcare strategy, mobile programs may soon be less of a novelty and more of a norm.

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AI is no longer a buzzword—it’s becoming the backbone of small business marketing. FullFlex.Agency, a Salt Lake City–based hybrid marketing shop, is rolling out expanded AI-powered services alongside its flat-rate “All You Can Market” packages, positioning itself as a growth partner for startups, SMBs, and national brands.

The agency, which calls itself one of Utah’s fastest-growing, blends traditional marketing with digital expertise and AI-first innovation. The pitch is simple: businesses shouldn’t have to choose between cost transparency and cutting-edge tools.

AI Meets Marketing Fundamentals

FullFlex’s new AI offerings read like a buffet for businesses looking to scale:

• Generative AI Engines for content, SEO, and campaign scaling

• Agentic AI Systems for casinos and hospitality, driving personalized guest experiences

• AI Employees for contractors in HVAC, plumbing, and painting, handling lead follow-up, scheduling, and retention

“AI isn’t a trend—it’s a turning point,” said Justin Lizama, Founder & CEO of FullFlex.Agency. “From HVAC in California to casinos in the Pacific Northwest, logistics in Las Vegas, and e-commerce on the East Coast, we help businesses use AI to scale faster and smarter.”

“All You Can Market” Pricing

The agency’s flat-rate marketing packages are tiered by business revenue—a model designed to remove guesswork from scaling budgets:

• <$2,500/month revenue → $497/month

• $2,500–$10,000/month → $997/month

• $10,000–$49,999/month → $2,097/month

• $50,000+/month → 10% of monthly net revenue

Each tier covers the full stack: web design, branding, SEO and GEO optimization, paid ads across Google, Meta, and TikTok, social media, email and SMS marketing, plus analytics and growth strategy.

For SMBs wary of ballooning agency retainers, the Netflix-style pricing could prove a differentiator.

Case Studies in AI at Work

The agency points to early client use cases to prove its model:

• HVAC contractors in California using AI “employees” to boost lead retention

• Casinos in the Pacific Northwest deploying agentic AI for guest personalization

• 3PL providers in Las Vegas leveraging automation for logistics

• Skin care brands in Salt Lake City and Seattle scaling content and social reach

• E-commerce brands on the East Coast automating campaigns with generative AI

The throughline is AI doing the heavy lifting while business owners focus on growth.

The Bigger Picture

FullFlex joins a growing list of agencies rebranding themselves as AI-native marketing partners, part of a wave reshaping the $475 billion global digital ad market. Competitors from boutique firms to giants like Accenture Song are pushing AI-driven campaign management, but FullFlex’s flat-rate transparency may hit a nerve with SMBs tired of murky billing.

The takeaway: in a crowded agency landscape, offering both AI innovation and budget clarity might just be the winning formula.

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AI writing tools are everywhere, but quality, accuracy, and workflow integration remain major pain points for marketing teams. Clearly Blue Digital, a Bangalore-based content and knowledge services firm, is aiming to solve these challenges with its new Clear Owl platform—a Human-AI collaboration environment that merges automated content generation with professional human oversight.

“Marketing teams are struggling to balance the efficiency of AI tools against quality concerns,” said Linda Jacob, CEO of Clearly Blue Digital. “Clear Owl addresses these challenges and provides a single-stop solution for content needs.”

Tackling Marketing Headaches

Clear Owl targets several critical issues that plague AI content workflows:

• Quality Assurance – Fact-checking and plagiarism detection are handled by expert human content specialists.

• AI Hallucinations – Plausible but false content is minimized through human review.

• Subscription Fatigue – Combines AI, SEO, plagiarism, and grammar tools into one platform.

• Cost vs. Quality – Delivers high-quality content without the price tag of traditional agencies.

The result is a simplified workflow: Generate → Review → Publish, enabling teams to produce reliable content in hours rather than weeks.

Industry-First Features

Clear Owl introduces several innovative capabilities:

• No-Prompt Simplicity – Marketers select topics from AI-driven suggestions without needing expertise in prompting.

• Integrated Human QA – Expert content specialists review AI outputs to ensure accuracy and adherence to brand voice.

• All-in-One Marketing Toolkit – Roadmap includes integrated AI generation, human review, and brand tools in a single subscription.

• Custom Brand Voice Generator – Tailors content style and tone for each client.

This blend of AI efficiency and human insight is designed to help businesses scale content marketing while preserving authenticity.

Early Success and Launch Offer

Following a successful beta, ClearOwl.ai is now publicly available. Early adopters receive a one-month free trial, with the ability to generate up to five blog posts and access priority support.

Marketing leaders are already seeing tangible results. Michail Chopra, CEO of Mayfair We Care, a global health benefits provider, noted: “Clear Owl reduces my team’s content workload from weeks to just hours, freeing them to engage with prospects and convert leads.” Chopra also highlighted the platform’s roadmap for insurance-focused marketing support, a niche not currently addressed by other AI tools.

Why It Matters

As businesses adopt AI for content creation, maintaining quality, credibility, and brand voice is critical. Clear Owl’s hybrid approach reflects a growing trend: blending AI speed with human oversight to ensure consistency and trustworthiness. For companies facing tight marketing timelines, subscription fatigue, and cost pressures, this could be a game-changer.

Clear Owl positions Clearly Blue Digital as a leader in human-AI content collaboration, helping brands navigate the delicate balance between automation and authenticity in modern marketing.

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Generative AI promises to revolutionize enterprise marketing—but adoption has been slow. Fragmented tools, inconsistent brand voice, and governance headaches have kept many companies in pilot mode. Jasper, the leading agentic marketing platform, is tackling these obstacles with the launch of its MCP Server, an open-standard solution designed to scale AI content generation while maintaining control and compliance across the enterprise.

“AI has been stuck in pilot for too long because enterprises lacked the structure to scale it responsibly,” said Timothy Young, CEO of Jasper. “MCP connects AI models, brand standards, and governance into one system, enabling organizations to move beyond pilots to genuine, scalable transformation.”

Why MCP Server Matters

Enterprises have invested billions in AI, yet risk management and governance remain major barriers. According to a Deloitte survey, 30% of organizations struggle to manage risks, and 29% lack a governance model, causing campaign delays or abandonment of AI projects—especially in regulated industries.

Jasper’s MCP Server embeds Jasper IQ’s marketing context, brand guardrails, institutional knowledge, and best practices into every AI input, regardless of the tool or model used. This includes ChatGPT, Claude, Microsoft Copilot, and more, ensuring that outputs are consistent, high-quality, and brand-safe.

Key Capabilities

MCP Server delivers centralized control with decentralized flexibility:

• Unified AI outputs – Connect multiple tools and LLMs via a shared protocol so all content aligns with brand and regulatory standards.

• Brand and compliance enforcement – Set tone, voice, and industry regulations once, then apply across all departments and channels.

• Faster market readiness – Teams can generate usable, on-brand content quickly, reducing bottlenecks and manual checks.

• Scalable adoption – Expand AI use cases safely across marketing, sales, product, and support teams.

• Future-proof interoperability – Open protocols ensure compatibility with new models and AI platforms as they emerge.

“Every team wants to experiment with AI, but without shared context, results quickly become fragmented and risky,” said Bryan Tsao, Chief Product Officer at Jasper. “MCP ensures content reflects organizational standards wherever it’s created, creating a sustainable path for AI adoption.”

The Bigger Picture

MCP Server positions Jasper as a bridge between the rapidly expanding AI ecosystem and enterprise demands for governance, quality, and brand consistency. In an era where AI initiatives can falter due to misaligned outputs or compliance risks, a system like MCP offers a framework to scale innovation responsibly—helping companies transform pilots into enterprise-wide solutions.

With MCP, Jasper is not just offering a tool; it’s offering a standardized approach for enterprises to fully embrace AI marketing without sacrificing control.

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