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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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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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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As cookies crumble and privacy rules tighten, advertisers are scrambling for ways to reach audiences who’ve become invisible to traditional targeting systems. Enter Anonymised, a privacy-enhancing ad tech startup, and Bedrock Platform, a modular demand-side platform (DSP) designed for data sovereignty.

The two companies announced a new partnership that makes Anonymised’s ID-less audiences natively available on Bedrock. For the first time, advertisers using Bedrock can directly tap into these anonymized datasets and run precision campaigns across premium inventory—without relying on third-party IDs.

Why It Matters

Safari and iOS users—representing a massive slice of high-value audiences—have long been adland’s blind spot. Apple’s privacy-first stance left many platforms unable to measure or target effectively, resulting in under-monetized inventory and missed opportunities. Anonymised and Bedrock aim to fix that.

The integration essentially brings “walled garden-level” precision to the open web, letting advertisers chase incremental conversions while keeping brand safety and user privacy intact. Publishers benefit too, by monetizing audiences that were previously unaddressable.

Features and Benefits

• Native Integration: Anonymised’s ID-less audience data is directly embedded into Bedrock’s platform.

• Cross-Channel Reach: Advertisers can extend campaigns across screens, devices, and browsers.

• AI-Driven Tools: Bedrock provides curation workflows, deal management, and real-time activation powered by machine learning.

• Safari & iOS Unlock: One of the partnership’s headline features is making high-value Safari audiences measurable and addressable.

The Bigger Picture

The move reflects a growing trend: privacy-first targeting that doesn’t sacrifice performance. Competitors like The Trade Desk and Google are racing to solve similar ID-loss challenges with their own frameworks (UID 2.0, Privacy Sandbox). But Anonymised and Bedrock’s collaboration could stand out for its simplicity and focus on incremental conversions in low-bid, high-quality environments.

Voices from the Field

“This is exactly the kind of programmatic innovation the industry needs,” said Mattia Fosci, CEO at Anonymised, emphasizing the measurable conversions possible from unaddressable audiences.

For Bedrock, the integration hits at its core mission. “We’re equipping buyers with tools to engage premium audiences while upholding the highest standards of user privacy,” added Shane Shevlin, CEO of Bedrock Platform.

Market Impact

If it works as promised, this could be a blueprint for the post-cookie era—where advertisers don’t have to choose between privacy and precision. For brands with long purchase cycles and multi-device audiences, the Bedrock-Anonymised combo could be a serious competitive advantage.

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GraceBlocks has fully integrated Google’s Gemini 2.0 Flash and 2.5 Pro models into its customizable database platform (CDP), creating a new “Intelligence Pillar” for small-to-medium businesses and HR teams. The move enables users to build AI-powered workflows, extract insights, and automate tasks without writing a single line of code.

By embedding Gemini models directly, GraceBlocks allows teams to automate processes like resume parsing, sentiment analysis on employee feedback, and personalized communications, effectively transforming core business operations into intelligent workflows.

From Toolbox to Consultative Partner

This launch marks a major milestone for GraceBlocks, moving beyond a no-code platform into a consultative automation partner. New clients receive their first custom solution free, while existing users gain access to tailor-made workflows designed to tackle repetitive tasks and boost strategic focus.

“The AI itself is powerful, but the real magic is how the GraceBlocks team puts it to work for us,” said Susan Van Klink, CEO of SVK and Associates. “They’re not just vendors—they’re collaborators who help us deliver results faster than we thought possible.”

Real-World Use Cases

Early adopters are already seeing tangible benefits:

• Automated Data Extraction and Logging: Normalize, de-duplicate, and route data from emails, rosters, resumes, and intake forms without manual entry.

• AI-Powered Ideation: Generate content outlines, brainstorming prompts, and creative suggestions tailored to team goals.

• Marketing Content Generation: Produce high-res images, blog posts, and other marketing assets faster with AI-assisted workflows.

Mary Grace Hennessy, CEO of GraceBlocks, emphasizes: “It’s not just about offering AI, it’s about delivering results. Our clients don’t just get a platform; they get a partner.”

Why It Matters

GraceBlocks’ native integration of Google Gemini positions the platform as a full-service AI workflow engine for SMBs and HR teams. By providing AI-powered automation without requiring technical expertise, the company addresses a growing demand for intelligent, results-driven tools that scale productivity and efficiency.

With the Intelligence Pillar, GraceBlocks continues to differentiate itself from generic no-code platforms, proving that applied AI can move beyond experimentation into everyday business impact.

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Presearch.com, the privacy-focused, community-driven search engine, has officially completed the shift from Web2 to Web3, delivering what many in the industry considered technically impossible: a fully decentralized, self-custodial search platform. Presearch 3.0 empowers users to search, earn, and control digital assets while participating in a global Web3 ecosystem.

In a world dominated by AI-generated content, invasive tracking, and declining engagement, Presearch 3.0 promises privacy, sovereignty, and economic empowerment, returning control to users and creators while eliminating reliance on centralized intermediaries.

How Presearch 3.0 Works

Unlike other platforms that bolt token mechanics onto traditional infrastructure, Presearch was built natively for Web3. Its core architecture supports:

• Hybrid Proof-of-Work nodes: 40,000+ community-operated nodes process queries, remove personal data, and execute searches in milliseconds.

• Self-custodial rewards: Users earn PRE tokens based on search volume, node reliability, and staked assets, with staking enhancing per-search earnings.

• Gas-efficient Base Layer 2 microtransactions for fast, sub-penny payments.

• Enterprise-grade security, including audits and penetration testing.

Advertisers can run keyword staking campaigns, similar to Google Ads auctions, where the highest staked PRE token placement determines visibility at the bottom of search results.

A New Index for High-Integrity Content

Presearch 3.0 isn’t just decentralized—it also pioneers a Web3-native independent web index, optimized for what the company calls “Frontier Intelligence.” The focus is on:

• Creator-first and login-gated platforms like Substack and OnlyFans

• Independent journalism and alternative health content

• Shadow-banned or suppressed sources

• Verified human-generated content filtered from AI spam

This next-generation indexing gives Presearch a competitive edge in an era flooded with low-quality AI-generated content, making it a foundation for AI agents, DeFi, and dApp integration.

Redefining User Control

With Presearch 3.0, users log in with crypto wallets instead of traditional credentials, maintaining full ownership of digital assets. Platforms cannot revoke access, and all interactions are on-chain, creating trustless, incentivized participation across a globally accessible network.

Presearch’s infrastructure also supports:

• Seamless wallet integration without compromising UX

• Self-custodial staking and reward management

• Cross-platform AI agent compatibility for search and discovery

Why It Matters

This launch positions Presearch as a fully Web3-native alternative to centralized search engines, solving longstanding Web3 adoption friction points like custodial delays, regional restrictions, and identity barriers. For users, developers, and enterprises, Presearch 3.0 offers:

• True privacy and data sovereignty

• Earned rewards for search participation

• Access to high-integrity, creator-first content

• Integration with the wider Web3 ecosystem

In short, Presearch 3.0 transforms search from a utility into a gateway to decentralized digital experiences, redefining the relationship between users, content, and the Web3 economy.

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Minute Media, the global sports media and technology company, has acquired VideoVerse, the AI SaaS platform best known for its flagship product, Magnifi. The move strengthens Minute Media’s ambition to deliver a fully integrated creation, distribution, and monetization solution for sports content rights holders, teams, and leagues worldwide.

With Magnifi’s real-time AI-driven video editing and highlight generation capabilities, Minute Media gains a powerful layer of automation and creativity that complements its existing distribution and monetization platforms.

Inside the Deal

VideoVerse’s Magnifi platform uses computer vision, machine learning, and NLP to automatically detect key game moments, create highlight reels, and push them to digital platforms at speed. Its GenAI-enabled features—including multilingual subtitling, automated thumbnails, metadata generation, and a rules-based engine—make it an all-in-one editorial workspace for content teams.

By integrating these capabilities, Minute Media can now:

• Deliver real-time, short-form highlights to fans at scale.

• Offer sports rights holders a full-stack solution from creation through monetization.

• Enhance its STN Video platform with AI-powered content automation.

Leadership Commentary

“We are thrilled to bring the passionate teams and robust capabilities of VideoVerse into the Minute Media family,” said Asaf Peled, Founder and CEO of Minute Media. “With VideoVerse’s technologies, our partners and clients will experience the very best in AI-powered creation, distribution, and monetization.”

Vinayak Shrivastav, Co-founder and CEO of VideoVerse, added: “This is a defining moment in our journey. Partnering with Minute Media amplifies our global reach and accelerates our ability to help rights holders unlock greater value from their content in real time.”

Why It Matters

The acquisition reflects the growing importance of short-form, AI-enhanced content in sports media. As fans increasingly consume highlights and snackable content on-demand, leagues and publishers face pressure to deliver faster, smarter, and monetizable video experiences.

By merging Minute Media’s global distribution network with VideoVerse’s AI-driven editing tools, the combined entity is positioning itself as a go-to partner for leagues, federations, and publishers looking to maximize audience engagement and ROI.

The Bottom Line

Minute Media’s acquisition of VideoVerse signals a bold step toward AI-first sports content operations. For rights holders, the value proposition is clear: faster highlight delivery, deeper engagement, and stronger monetization opportunities—powered by one integrated platform.

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Appier (TSE: 4180) is doubling down on its vision of “One Data. One Experience. One Agentic World.” The AI-native software company announced the rollout of eight specialized AI Agents designed to help marketers unify fragmented data, automate workflows, and deliver predictable returns.

Unlike single-task automation tools, Appier’s Agents combine predictive modeling, generative AI, and best-practice playbooks to orchestrate end-to-end marketing actions—from creative production to customer engagement—serving as a 24/7 autonomous marketing partner.

“The essence of Agentic AI is turning goals into executable, autonomous workflows,” said Chih-Han Yu, Co-founder and CEO of Appier. “This intelligent ecosystem acts like a collaborative marketing team that adapts in real time to complexity, delivering sustainable revenue and impact.”

The Eight AI Agents

Appier’s Agentic AI spans three product lines, each embedding proprietary brand data to deliver hyper-personalized marketing at scale:

• Advertising Cloud

  • Coding Agent: Auto-generates interactive ads and videos to drive installs and conversions.

  • Director Agent: Combines LLMs with GenAI to create brand-safe, compliant creatives.

  • ROI Agent: Uses Media-Mix Modeling to measure incrementality and maximize revenue.

• Personalization Cloud

  • Campaign Agent: Automates campaigns end to end, from planning through optimization.

  • Sales Agent: A conversational digital salesperson that recommends products and closes deals.

  • Service Agent: Provides always-on support grounded in a brand’s knowledge base.

• Data Cloud

  • Audience Agent: Leverages predictive segmentation to build profitable audience strategies.

  • Insight Agent: Transforms real-time data into visual insights to guide business growth.

Together, these Agents establish interconnected agentic workflows, enabling enterprises to plan smarter, act faster, and capture every customer touchpoint.

Why It Matters

Marketers are under pressure to deliver measurable ROI in increasingly complex ecosystems. Appier’s Agentic AI aims to cut through the noise by:

• Unifying fragmented data with real-time enrichment and deduplication.

• Automating creative and campaign workflows to speed execution.

• Driving omnichannel personalization that scales engagement and retention.

• Delivering explainable insights for confident decision-making.

By integrating predictive analytics, conversational AI, and data quality boosters, Appier is pitching itself as a comprehensive AI-native partner for enterprises across markets and industries.

The Road Ahead

Appier’s eight Agents are rolling out in phases across global markets, with support for English, Japanese, Korean, and Chinese. Flexible pricing models make the suite accessible to both large enterprises and mid-market players.

As part of the rollout, Appier is launching global marketing campaigns to showcase autonomous agentic workflows in action, from creative generation and campaign execution to customer service and audience analytics.

The Bottom Line

With its Agentic AI suite, Appier is positioning itself at the forefront of autonomous marketing operations. For businesses, the value proposition is clear: more efficient campaigns, deeper personalization, and a direct line between AI innovation and ROI.

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