In a tech landscape flooded with AI “add-ons” and half-baked hype, Agiloft is earning recognition for doing the hard part: making artificial intelligence work where it matters most—inside the software, not just on top of it.

The contract lifecycle management (CLM) platform has been named a finalist in Newsweek’s 2025 AI Impact Awards, an accolade that celebrates companies applying AI both strategically and responsibly to solve meaningful business problems.

And Agiloft isn’t just along for the ride—it’s helping steer the course.

Built-In AI, Not Bolted-On

Unlike platforms that treat AI as a flashy extra, Agiloft built its solution from the ground up with what it calls “AI on the inside™”. That means fully-configurable AI features are embedded at every step of the CLM journey, from contract creation to risk analysis—no patchwork integrations, no black-box mystery.

The result? Legal and procurement teams can accelerate contract cycles, surface hidden risks, and drive approvals with automated intelligence baked into their workflows.

Here’s what sets Agiloft apart:

• Automated Initial Reviews: AI-powered assessments that can cut review time by up to 80%.

• GenAI Agents: Automate approval processes and drive decisions in seconds, not days.

• Prompt Lab with Screens: A new interface combining intelligent clause management and negotiation guidance.

This isn’t theory—it’s operational AI that’s being used by enterprises to optimize legal ops at scale.

A Different Kind of AI Recognition

While most awards celebrate AI flash, Newsweek’s AI Impact Awards focus on measurable business impact and ethical innovation. The 2025 edition puts a spotlight on companies transforming industries by aligning technology with transparency, accountability, and adaptability.

“We are focused on building AI with a balance of power and process transparency that leads to adoption,” said Eric Laughlin, CEO of Agiloft. “This recognition from Newsweek confirms that we are on the right track.”

For organizations trying to move beyond buzzwords, Agiloft offers a compelling blueprint—intelligent contract management that’s both powerful and practical.

Why It Matters in the CLM Space

The contract management market is teeming with tools that promise automation but deliver friction. Agiloft's approach is different: it focuses on configurability, explainability (white-box AI), and true operational efficiency. That’s especially critical for enterprise legal teams dealing with complex, regulated, or high-volume contract environments.

By providing AI as a core capability rather than an upcharge, Agiloft is making advanced contract intelligence more accessible, transparent, and actionable—all while keeping legal professionals in control.

“AI is reshaping our world, and the organizations receiving this award are at the forefront of that transformation,” said Jennifer H. Cunningham, Editor-in-Chief of Newsweek. “We are proud to spotlight technologies that are pushing the boundaries of what AI can achieve—responsibly and effectively.”

Agiloft is showing that in the world of enterprise AI, real impact beats gimmicks—and the industry is finally taking notice.

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In a move set to shake up the indie publishing space, Bowker has partnered with John Marshall Media (JMM)—the Grammy-winning powerhouse behind thousands of top-tier audiobooks—to deliver premium audio production and distribution services to publishers of all sizes, including the fast-growing self-publishing community.

With over 30 years of experience producing audio for the Big 5 publishers, JMM is now bringing its expertise to the broader publishing market via this partnership—offering studio-quality recording, global distribution, and integrated marketing under one roof.

“JMM brings decades of experience producing audiobooks for the largest U.S. publishers,” said Beat Barblan, General Manager at Bowker. “We’re excited to now offer their world-class services to self-publishers and smaller houses worldwide.”

Audiobooks for All, Not Just the Big Five

This collaboration is more than just a service upgrade. It reflects a growing trend: audiobooks are booming, and independent authors want in.

While the traditional audiobook pipeline has long been dominated by major publishers, Bowker and JMM are making the medium far more accessible. From professional narration to platform-specific formatting, this full-service offering lets authors focus on their content—while the production experts handle everything else.

“We’ve spent 30 years making great audiobooks for the Big 5. Now we’re helping smaller publishers and authors do the same,” said Kevin Stillwell, Head of Indie Production & Distribution at JMM.

And Bowker’s reach into the self-publishing ecosystem gives JMM access to a massive, often underserved market—one hungry for professional tools and support.

What the Partnership Delivers

✔ Production
JMM works with hundreds of elite narrators and voice actors. Whether it's single voice or full-cast production, author-narrated or professional voiceover, JMM delivers studio-grade recordings engineered to meet the exact specs of retail platforms worldwide.

✔ Distribution
JMM’s full-service platform reaches 106 retail, library, and school outlets, pushing audiobooks to millions of listeners globally. One contract, one pipeline, complete control.

✔ Marketing
Via a network of publisher-centric marketing experts, JMM offers strategic and creative services—from advertising and outreach to campaign planning and optimization—to ensure audiobooks don’t just get made, but get heard.

Why This Matters

Audiobooks are the fastest-growing segment of publishing, but producing a quality title remains a challenge for independents. With this partnership, Bowker and JMM are flattening the learning curve and opening the gates to high-quality audio production, regardless of publisher size.

For Bowker customers, it’s a direct line to a service once reserved for the industry's elite. For JMM, it’s a strategic extension into a broader market.

“The audiobook medium represents a tremendous opportunity for Bowker customers,” Barblan added. And with consumer demand showing no signs of slowing down, that opportunity could prove to be a game-changer.

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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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