PulsePoint Unveils Adaptive Optimization™, Tackling Waste in DTC Pharma Campaigns

PulsePoint, a leader in healthcare marketing tech, is raising the bar in precision media buying with the launch of Adaptive Optimization™—an AI-powered solution aimed at dramatically reducing waste in direct-to-consumer (DTC) pharmaceutical campaigns.

According to PulsePoint's Chief Product Officer Ezra Suveyke, the traditional DTC model is inefficient: “Far too much budget is spent on consumers who have no relevance to the brand. Adaptive Optimization™ addresses this by focusing ad delivery on audiences more likely to engage based on clinical relevance.”

The platform doesn’t just optimize around typical media performance metrics. Instead, it integrates clinically relevant signals and deidentified patient cohort data to dynamically reallocate budget across higher-performing audience segments—all in real time. This is made possible through its privacy-compliant access to a clinical cleanroom, enabling continuous rescoring of audience segments.

In early tests across multiple pharma brands, Adaptive Optimization™ has already shown significant performance lifts, improving qualified audience reach while reducing media waste.

Parker Noren, SVP of Growth and Strategy at PulsePoint (part of Medscape and WebMD), emphasized the advantage of the company’s health-only focus: “No generalist DSP can do this. We built this solution with the compliance rigor and audience sensitivity that healthcare demands.”

With this launch, PulsePoint aims to reset expectations across both HCP and DTC pharma marketing. By leveraging its deep health data foundation and AI-driven delivery model, it’s putting pharma brands back in control of both reach and relevance.

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StackAdapt is bringing its programmatic expertise closer to the sales stack. The company has launched StackAdapt for Sales Cloud on Salesforce AppExchange, giving marketers the power to sync 1st-party CRM data from Salesforce into StackAdapt for real-time audience activation and highly personalized cross-channel campaigns.

This integration enables seamless syncing of Salesforce profile data to build dynamic, always-updated audiences for programmatic marketing efforts. With centralized campaign execution and automated data flows, StackAdapt promises better efficiency, targeting precision, and ultimately, greater ROI.

“Personalized, data-driven marketing starts with seamless access to your best data,” said Mike Novosel, VP of Global Strategic Partnerships at StackAdapt. “This integration bridges the gap between CRM and media strategy, helping marketers reach high-value accounts with less friction.”

Listing on AppExchange, Salesforce’s marketplace of over 9,000 partner apps, opens the door for thousands of enterprises to integrate StackAdapt’s demand-side platform directly with their existing CRM workflows.

Brian Landsman, CEO of AppExchange and Global Partnerships, praised the launch, noting it “unlocks a new way to connect customer data to media execution” for Salesforce users.

For B2B and account-based marketers, this integration could mean faster campaign deployment, smarter targeting, and fewer missed opportunities due to outdated data or fragmented tools.

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Orbit Analytics Rolls Out AirQuery Augmatica, Pushing AI BI Beyond Dashboards

Orbit Analytics, known for its AI-powered business intelligence tools tailored to ERP environments, is upping the ante on self-service analytics. The company has unveiled AirQuery Augmatica, a suite of embedded AI capabilities designed to let enterprise users access operational data insights—without leaning on dashboards or technical support.

If Orbit's goal is to make querying data feel more like asking a colleague and less like coding SQL, AirQuery Augmatica is a decisive move in that direction.

AI That Understands the Business Behind the Question

Unlike traditional BI tools that rely on pre-built dashboards or complex data reports, AirQuery Augmatica lets users pose natural-language questions—think: “What’s the current order fulfillment rate?”—and get instant, context-aware responses. The system applies semantic understanding, permission-aware logic, and NLP (natural language processing) to interpret intent and serve up answers that are both relevant and secure.

CEO and Cofounder Rupesh Sharma sums up the value proposition:

“Enterprise users often wait too long for insights or must rely on IT to generate reports. AirQuery Augmatica flips that paradigm—it puts powerful data capabilities directly into business users’ hands.”

In short: this is business intelligence minus the bottlenecks.

Built-In Tools for Productivity, Not Just Insights

AirQuery Augmatica introduces two core tools already available within the Orbit platform:

• Quicklets: These are embedded, in-context queries that serve up common answers—like payment history, order status, or delivery schedules—without switching tabs or pinging finance.

• Discovery: Users can type open-ended business questions and get immediate answers from real-time ERP data. This isn’t a chatbot gimmick; it’s an NLP-powered search layer that understands enterprise logic and speaks business fluently.

The tools operate inside the existing Orbit environment and are deeply integrated with Microsoft Azure AI Services, maintaining robust security protocols, including role-based access controls.

The Bigger Picture: Operational Intelligence, Democratized

Orbit’s launch aligns with a broader trend in MarTech and enterprise tech: the push toward AI democratization. As more business platforms race to embed generative AI, the challenge has become less about novelty and more about practical implementation—a gap Orbit aims to close.

Unlike some flashier AI launches, AirQuery Augmatica leans into operational utility. It’s about replacing friction-filled workflows with frictionless insight delivery. Whether you're managing a supply chain or answering a customer’s billing question, the goal is the same: faster answers, fewer dependencies.

“This isn’t about replacing BI teams—it’s about removing the wait time,” Sharma said. “We're helping global teams become more productive and more confident in their data.”

And while Orbit isn’t the only player building AI into business workflows, its focus on ERP-native environments and seamless integration with Microsoft tools makes it a compelling choice for enterprises already invested in these ecosystems.

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BigID Unveils WatchTower: One Command Center for AI and Data Risk

BigID, known for its leadership in data security and compliance, has rolled out a new enterprise-grade risk intelligence suite: WatchTower for AI and Data. This unified framework is designed to help security, privacy, and governance teams monitor, prioritize, and act on risks across their AI and data landscapes — all from a single dashboard.

As AI ecosystems balloon in complexity, companies often struggle to keep tabs on fragmented tools, siloed pipelines, and dispersed models. BigID’s WatchTower tackles this with a situational awareness platform that delivers continuous, customizable visibility across sensitive data, models, and environments.

“Security teams don't just need more data — they need the right visibility at the right time,” said Nimrod Vax, Chief Product Officer and Co-Founder of BigID. “With WatchTower, we’re giving organizations a powerful new way to monitor, understand, and act on risk across data and AI, all from one place.”

What’s Inside WatchTower?

• Prebuilt Role-Based Dashboards: Tailored views for security, privacy, and compliance teams to spot what's most important — instantly.

• AI & Data Risk Insights: Prioritized alerts across models, pipelines, and environments with contextual threat data.

• Built-in Remediation: Teams can take direct action within the BigID platform without switching tools.

• Always-On Monitoring: Continuous visibility into changing risk profiles across enterprise data.

• Silo-Busting Collaboration: Shared intelligence across roles to eliminate blind spots and delays.

WatchTower is positioned as more than just a dashboard—it's a command center for AI and data risk. With built-in enforcement mechanisms, it gives enterprises the operational speed and precision they need to meet today's governance demands.

With AI usage accelerating across industries, visibility is no longer optional—it’s critical. Tools like WatchTower could become standard operating gear for teams aiming to secure sensitive data and manage AI risks without drowning in complexity.

For enterprises navigating sprawling data architectures and AI compliance mandates, WatchTower brings clarity where there's often chaos.

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FND eCommerce’s $5K Challenge: Double Your Amazon Sales or Get Paid

In a bold move that dares Amazon sellers to expect more, FND eCommerce has launched a performance-guaranteed offer: Double your Amazon sales in 150 days—or we’ll pay you $5,000.

The agency, known for scaling storefronts with laser-sharp marketing, SEO, and compliance tactics, is now backing its promise with cold, hard cash. New clients who sign up for this limited-time challenge gain access to a full suite of Amazon seller services, built around a 5-step growth framework that’s as aggressive as the offer itself.

“Amazon is constantly changing—with rising competition and tighter policies,” said Finn Cormie, Director at FND eCommerce. “We handle everything, so our clients can stop worrying and start growing. This offer is our way of putting skin in the game.”

What’s Behind the $5K Guarantee?

FND’s new campaign is less of a gimmick and more of a performance pact. New clients receive:

• Complete account management, including listings, ads, and customer engagement

• Amazon SEO, content optimization, and ranking strategies

• Brand protection and compliance audits

• PPC and keyword targeting

• Conversion-enhancing design assets (like 3D renders and A+ content)

But this isn’t just a set-and-forget deal. It’s driven by a refined five-step process focused on delivering results within 150 days:

The 5-Step System That Drives the Offer

1. Discovery & Brand Alignment:
FND kicks off with a deep-dive audit to uncover gaps, goals, and strategic misalignments.

2. Strategy Creation:
They develop a tailored plan covering everything from product visibility to keyword targeting.

3. Execution:
This is where listings get optimized, PPC campaigns launched, and content upgraded.

4. Monitoring & Optimization:
Real-time analytics guide weekly adjustments to squeeze every bit of ROI from campaigns.

5. Scaling for Growth:
Once traction is proven, efforts shift to long-term scaling—think better rankings, improved ACoS, and stronger margins.

Why It’s a Smart (and Timely) Move

FND’s offer lands at a time when Amazon’s marketplace is tougher than ever, with increased compliance scrutiny, rising CPCs, and saturated product categories. Sellers are either adapting—or falling behind. That puts executional precision and performance guarantees at a premium.

And let’s be honest: “agency promises” are everywhere. But backing those promises with a $5,000 payout flips the risk. FND clearly believes in its system.

This isn’t for hobbyists or passive sellers. The offer is aimed at growth-ready Amazon businesses looking to:

• Increase conversion rates

• Reduce ad waste

• Improve organic rankings

• Build defensible brand equity

If you're already doing decent numbers but struggling to scale—or simply tired of handling everything yourself—this could be your move.

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Mindbreeze Supercharges InSpire with Multimodal AI for Smarter Enterprise Insights

Mindbreeze is raising the bar in enterprise knowledge management with a major update to its flagship platform, Mindbreeze InSpire—the integration of multimodal Large Language Models (LLMs). In plain terms: organizations can now analyze text, images, video, and audio content all within one AI-powered system.

For enterprises drowning in unstructured, multimedia-rich data, this is more than a nice-to-have—it’s a game-changer.

“Mindbreeze InSpire applies enterprise-grade AI to analyze text, images, videos, and audio files,” said Daniel Fallmann, Founder and CEO. “This upgrade empowers organizations with fast, reliable, and trustworthy insights to drive their most critical business processes.”

What’s New: Multimodal Means All Data Is Now Fair Game

Previously, enterprise AI platforms largely focused on structured or text-based data. But as corporate data becomes increasingly multimedia-driven—think call recordings, training videos, product manuals, and scanned documents—LLMs need to understand more than just text.

Mindbreeze’s new multimodal AI capabilities allow the InSpire platform to:

• Transcribe and summarize audio and video content

• Analyze images and multimedia embedded in documents

• Deliver contextual insights across data types in real time

This isn’t just about convenience; it’s about creating one unified intelligence layer across formats, without requiring companies to bolt on multiple third-party tools.

Why It Matters: Reducing Friction in Decision-Making

The goal? Fewer silos, less manual effort, and faster access to relevant knowledge.

By enabling enterprise-grade AI to comprehend complex multimedia inputs, Mindbreeze helps teams:

• Surface hidden insights in customer support calls

• Extract training data from onboarding videos

• Analyze visual documentation in compliance workflows

• Combine written reports with visual evidence in one unified query

It’s a significant leap toward the “AI assistant” future many enterprise software companies are chasing—but with less flash and more function.

Context: How Mindbreeze Stacks Up

In an era where Microsoft, Google, and OpenAI are all jockeying to bring generative AI into the enterprise, Mindbreeze stands apart with a deep specialization in knowledge discovery and contextual enterprise search. Rather than building from scratch, Mindbreeze layers intelligent capabilities onto an already robust infrastructure.

Its multimodal upgrade echoes recent trends in enterprise AI, including:

• OpenAI’s GPT-4o and Google’s Gemini pushing into audio-visual comprehension

• The rise of context-aware AI agents over generic chatbots

• Growing demand for private, secure AI solutions that don’t compromise corporate data

Mindbreeze delivers all that within an ecosystem that values data privacy, security, and enterprise-grade integration.

Multimodal AI is no longer a futuristic add-on—it’s becoming table stakes in the enterprise. By embedding this capability directly into Mindbreeze InSpire, the company is giving enterprises a frictionless, powerful way to turn all types of data—textual or otherwise—into action.

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Microsoft Integrates Thrive Global Tools Into Teams to Prioritize Employee Wellbeing

Microsoft is doubling down on its commitment to employee wellbeing with a new partnership that brings Thrive Global’s science-backed wellness tools directly into Microsoft Teams. Announced today, the initiative aims to embed wellbeing into the daily routines of Microsoft’s global workforce—making it as accessible as checking your calendar or joining a meeting.

The collaboration is more than just a wellness perk—it’s a strategic integration designed to create lasting behavioral change, one Microstep at a time.

“Microsoft's commitment to employee wellbeing comes to life through this partnership with Thrive Global,” said Arianna Huffington, Founder and CEO of Thrive Global. “We’re making healthy behavior change simple, accessible, and even joyful—and setting a new standard for how large companies can scale personalized wellbeing.”

One-Click Access to Wellness, Right Inside Teams

Through this partnership, Microsoft employees now have seamless access within Teams to:

• Thrive Microsteps: bite-sized daily actions rooted in science

• Thrive Resets: 60-second stress-reducing videos and breathing exercises

• Wellbeing Score: a personalized tracker for health habits and progress

• Curated Content Library: expert guidance across health and productivity topics

These tools address what Thrive calls the “Big Five” daily behaviors—food, movement, sleep, stress management, and connection—which are proven to drive long-term physical and emotional health.

A New Era of Workplace Wellness—Integrated, Personalized, Scalable

For Microsoft, this isn't a box-checking exercise. It's about meeting employees where they already are—in Microsoft Teams—and equipping them with tools to reduce burnout, build resilience, and boost productivity.

“We listened to what employees needed,” said Kristen Roby Dimlow, Microsoft CVP of Total Rewards and Talent Acquisition. “We’re excited to deliver a global platform that puts personalization, accessibility, and simplicity first—alongside real, measurable outcomes.”

With burnout and hybrid work fatigue still lingering across industries, the timing couldn’t be more relevant. By embedding wellbeing into the flow of work, Microsoft is offering a model for how large enterprises can take proactive, sustained action on mental health and employee engagement.

The Rollout: Healthier Together and Beyond

The campaign kicked off on July 15 under the name Healthier Together, syncing with the start of Microsoft’s fiscal year—a natural time to hit reset. The monthly themes (ranging from energy management and gut health to digital boundaries and human connection) are reinforced through:

• Live webinars

• Personalized coaching

• Exclusive content

• Workplace challenges

Next up: Thrive will power Microsoft’s annual Be Well Games in September, a gamified, global initiative that brings employees together to focus on collective wellbeing. Additional campaigns around preventive care and health literacy will follow, signaling that this partnership is built for longevity—not just launch-day buzz.

A Template for Enterprise Wellbeing?

Microsoft’s approach aligns with a broader trend: wellbeing is no longer a side initiative—it’s a core business function. With a platform as ubiquitous as Teams now delivering daily nudges toward healthier habits, other enterprises may soon follow suit.

As remote and hybrid work models mature, work-life integration becomes more crucial than work-life balance—and Microsoft’s collaboration with Thrive Global may just be a blueprint for getting it right.

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Spectral Capital’s Quantum Leap: 42 Telecom Acquisition Sets the Stage for AI-Powered Messaging

In a move that merges bleeding-edge technology with real-world infrastructure, Spectral Capital Corporation (OTC: FCCN) has completed its acquisition of 42 Telecom Ltd., a global provider of enterprise messaging systems. Announced on August 3, 2025, the deal brings together Spectral’s extensive IP in artificial intelligence and quantum computing with a messaging platform already embedded in global operations.

And it’s not just a handshake and headlines—this deal includes performance guarantees and transformative potential.

What’s New: AI and Quantum Meet Telecom Infrastructure

The acquisition deal, inked with a Definitive Share Exchange Agreement in mid-July and finalized with a Closing Certificate, hands Spectral full control over 42 Telecom’s shares. In exchange, Spectral issued 8 million shares, with another 8 million held in escrow—pending performance. Specifically, 42 is contractually bound to generate at least $16 million in profitable revenue by the end of fiscal 2025.

While many acquisitions are a bet on synergy, this one comes with built-in expectations—and it’s not hard to see why.

Why It Matters: From SMS to Smart Messaging

The big play? Spectral plans to embed its 31 patent-pending innovations—at the intersection of AI and quantum computing—directly into 42’s global messaging infrastructure.

That’s not just fancy tech for tech’s sake. The endgame includes:

• Intelligent automation for customer workflows

• Quantum-secure communication for fraud-resistant enterprise use

• Predictive engagement and routing

• AI-powered personalization at scale

• Low-latency APIs designed for CRM, marketing automation, and behavioral analytics

If executed well, this could turn 42 from a workhorse infrastructure provider into a smart messaging powerhouse that outmaneuvers legacy players in the high-margin U.S. enterprise communications market.

CEO Speak: Beyond Buzzwords, Toward Platform Value

Jenifer Osterwalder, CEO of Spectral Capital, didn’t mince words about the ambition:

“We believe the integration of our AI and quantum technologies into 42's infrastructure will not only increase efficiency and defensibility but create a leap in commercial value—similar to what we've seen at companies like C3.ai and ServiceNow.”

A bold claim, but not entirely outlandish. Companies that successfully embed proprietary AI into platform infrastructure—while keeping operating costs low—have indeed rewritten the playbook on B2B SaaS value.

Glen Warren, CEO of 42 Telecom, echoed the growth sentiment, especially eyeing the U.S. market where “secure, intelligent, and integrated communication tools” are in high demand.

Strategic Implications: Market Pressure and Opportunity

The acquisition comes at a time when enterprises are rapidly overhauling legacy communication stacks in favor of modular, API-driven platforms that can integrate AI natively. With messaging at the center of marketing, support, and sales workflows, Spectral’s bet on 42 could put pressure on rivals like Twilio and Sinch, who are also moving toward intelligent engagement.

Add to that quantum-secure messaging, and Spectral might just be ahead of the security curve—something that’s becoming a hard requirement in regulated industries like finance, healthcare, and government.

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