As federal agencies ramp up efforts to modernize and streamline operations, ICF has stepped into the spotlight with ICF Fathom™, a newly launched suite of AI-driven solutions and services tailored specifically for government needs.

Announced this week, Fathom is designed to meet agencies wherever they are on the AI maturity curve—from pilot programs to enterprise-wide rollouts—helping them unlock immediate value without disrupting legacy infrastructure. Unlike many federal AI offerings still stuck in the proof-of-concept phase, ICF Fathom is built for real-world deployment at scale.

Modular, Embedded, and Mission-Driven

At the core of Fathom is a set of intelligent AI agents that can be securely embedded into existing systems and workflows. These aren’t just glorified chatbots—they’re built to execute complex tasks like document processing, software development, regulatory analysis, and grants management. The goal: enable faster decision-making, reduce waste and fraud, and meaningfully boost operational efficiency.

John Wasson, ICF chair and CEO, positioned the platform as a strategic response to growing modernization pressure across federal agencies. “With ICF Fathom, we've developed a flexible and production-ready solution that integrates seamlessly into existing systems at scale while unlocking the full potential of AI to support mission outcomes,” he said.

Built for Government Scale—and Speed

What sets Fathom apart is its open, modular architecture, allowing agencies to deploy AI in the way that best suits their needs—whether that’s embedded directly into on-prem infrastructure, via a hosted cloud model, or as part of a hybrid deployment. This flexibility makes it a strong candidate for diverse federal missions, especially those where security and customization are paramount.

Already deployed across several key U.S. government agencies, Fathom is showing early signs of delivering measurable returns. According to ICF, deployments have resulted in improvements to productivity, regulatory compliance, and overall mission performance.

Not Just AI for AI’s Sake

Unlike AI solutions that often arrive packaged in buzzwords but short on execution, ICF Fathom reflects a grounded approach. It draws on ICF’s long-standing federal domain expertise and a legacy of digital modernization. The company’s portfolio spans cloud platforms, automation, machine learning, and advanced analytics—giving it the technical and operational chops to deliver solutions that aren’t just cutting-edge but also fit for mission-critical use.

A Competitive Edge in a Crowded Federal AI Landscape

With agencies like the Department of Veterans Affairs, NASA, and the IRS accelerating their AI initiatives, vendors are jockeying for position. ICF's bet on embedded AI agents with modular architecture is a notable differentiator in a market still saturated with "AI-adjacent" tools. Its emphasis on production-ready deployment over experimentation could give Fathom an edge as federal buyers prioritize outcomes over hype.

More importantly, Fathom is launching at a time when U.S. agencies are under clear directives to adopt AI ethically, securely, and effectively—thanks in part to the Biden administration’s 2023 executive order on safe and trustworthy AI use in government. Solutions like Fathom, with human-in-the-loop design options and explainable AI capabilities, check many of those critical boxes.

ICF Fathom isn't just another toolkit promising AI magic. It's a serious entry into the government AI space—backed by deep policy know-how, an agile deployment framework, and a clear vision for transforming mission delivery with measurable impact.

For federal agencies facing the pressure to do more with less—and to do it faster—Fathom offers a smart, scalable pathway from AI intent to AI impact.

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As generative AI evolves from buzzword to business driver, many enterprises find themselves stuck in the “proof of concept” phase. Cybage, a global IT services company, is looking to change that—with a major boost from Amazon Web Services (AWS).

In a newly inked Strategic Collaboration Agreement (SCA), Cybage and AWS aim to bridge the gap between Gen AI experimentation and real-world execution. At the core of the partnership is Amazon Bedrock, AWS’s fully managed service offering a menu of top-tier foundation models. With this collaboration, enterprises can finally bypass the usual Gen AI roadblocks—like high upfront costs, architectural complexity, and a lack of internal expertise.

From Prototype to Production, Fast

This isn’t just about access to tools. The agreement brings a blend of AWS cloud-native infrastructure, funding for eligible Gen AI projects, and Cybage’s engineering know-how to accelerate deployments.

For customers, this means:

• Faster Gen AI rollouts using Amazon Bedrock

• Migration support from open-source or legacy AI solutions

• Greenfield development for new Gen AI applications

• Technical and financial support for proof-of-concept to production-ready systems

AWS will provide targeted funding for qualifying proof-of-concept, pilot, and enterprise-scale Gen AI use cases, giving companies a financial on-ramp to transformation.

Why Cybage?

Cybage isn’t new to this space. With a two-year track record in Gen AI R&D and enterprise deployments, the company brings deep expertise in data engineering, cloud modernization, and AI solution delivery. Its ExcelShore® framework underpins project execution, while its proprietary Gen AI platform, SmartPal, offers secure RAG (Retrieval-Augmented Generation) with built-in guardrails and agent capabilities.

Think of SmartPal as a Gen AI accelerator: it helps teams quickly prototype and deploy real-world AI applications without compromising on governance or security.

SonicWall: A Case Study in Speed and Scale

A recent collaboration with cybersecurity firm SonicWall illustrates how this partnership plays out. Faced with the need to deploy a secure, scalable chatbot for managed service providers, SonicWall turned to Cybage and the AWS Generative AI Innovation Center.

In just a few weeks, they migrated from an open-source solution to a production-grade system built on Amazon Bedrock. The implementation used Amazon Bedrock Guardrails, AWS PrivateLink, and OpenSearch—substantially enhancing security while slashing operational complexity.

“Cybage enabled us to migrate and launch a fully secure, scalable Gen AI chatbot in weeks—not months,” said Denis Branco, EVP at SonicWall. “Their guidance and AWS alignment were key to our transformation.”

Enterprise-Ready AI, with Guardrails On

In a market flooded with Gen AI hype, the Cybage-AWS collaboration stands out for its focus on responsible, scalable deployment. Cybage’s Gen AI delivery model emphasizes:

• Human-in-the-loop validation

• Transparent, explainable model behavior

• Robust security and governance controls

• Built-in compliance guardrails

“Realizing AI’s potential requires more than ambition—it demands structure,” said Kiran Kembhavi, SVP of Cloud, Data, and AI at Cybage. “By aligning with AWS and leveraging Amazon Bedrock, we’re helping enterprises move beyond the pilot stage and into value-generating territory.”

Market Implications

With this agreement, Cybage positions itself alongside a growing list of AWS partners using Bedrock to streamline Gen AI adoption. But unlike some peers still focused on experimentation, Cybage is doubling down on implementation at scale—an area many companies struggle with.

For organizations ready to transition from hype to hard ROI, this partnership offers a clear path: proven tools, expert support, and a fast track to production.

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In today’s digital-first world, delivering personalized service at scale is the holy grail for customer experience (CX) leaders. Glance, known for its cobrowsing and visual engagement solutions, is betting big on this vision by partnering with CloudHesive, an AWS Premier Partner with deep roots in cloud-native contact center infrastructure.

Announced hot on the heels of the AWS Summit in New York, the Glance-CloudHesive alliance brings together the best of both worlds: CloudHesive’s scalable, secure cloud platforms and Glance’s high-touch, real-time human engagement. The result? A unified offering aimed squarely at enterprises that want to improve customer experience without sacrificing speed, security, or empathy.

Why It Matters

This partnership isn’t just a feel-good story about collaboration. It directly addresses a central tension in modern CX: how to scale digital interactions while still making customers feel seen and supported.

With this integration, users of CloudHesive’s AWS-based contact center solutions—particularly Amazon Connect customers—can now embed Glance’s visual collaboration tools directly into their workflows. That means agents can guide customers through complex transactions, onboarding, or troubleshooting in real time—visually and securely.

“We're helping brands deliver more personal, empathetic, and effective experiences at scale,” said Adam Atwood, VP of Strategic Partnerships at Glance. “CloudHesive brings the infrastructure; Glance brings the high-touch human interaction.”

Guided CX, Now With AWS Muscle

Glance’s “Guided CX” approach is about meeting the customer exactly when and where they need help—whether that’s mid-purchase, during onboarding, or resolving a high-priority issue. With CloudHesive’s AWS-backed architecture providing the speed, security, and scalability, this partnership adds visual, collaborative muscle to the traditional contact center setup.

Key benefits include:

• Shorter deal cycles by reducing friction at key customer moments

• Improved first-call resolution and customer satisfaction

• Real-time visual guidance through complex workflows

• Face-to-face digital collaboration that builds trust

• Enhanced agent productivity with better tools and less guesswork

This kind of capability is increasingly critical as brands retool their CX strategies around both AI and human empathy. According to trends from the AWS Summit, enterprises are aggressively modernizing—but also realizing automation alone doesn’t cut it when customers are making important decisions or seeking support.

Available Now via AWS Marketplace

One practical upside: both Glance and CloudHesive are available on the AWS Marketplace. That makes deployment faster and easier for existing Amazon Connect users looking to add real-time human interaction to their digital playbook.

“Automation is essential, but not at the cost of human connection,” said Patrick Hannah, CTO of CloudHesive. “Our partnership with Glance empowers contact centers to resolve issues faster, close deals more efficiently, and build stronger customer relationships — with the security and scalability of the AWS cloud.”

In an era where digital self-service is expected and human support is still vital, the Glance-CloudHesive partnership is a timely reminder: scaling empathy is just as important as scaling infrastructure.

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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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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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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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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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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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