Ooma, Inc., a leading provider of business and consumer communications services, has announced that its Ooma Office business phone system now integrates with Zapier, a no-code automation platform that connects over 8,000 popular business applications. The new integration empowers small and medium-sized businesses (SMBs) to automate repetitive tasks, streamline data flow, and eliminate manual updates between Ooma and their favorite business tools.

A Smarter, Seamless Way to Work

With this integration, Ooma Office administrators can easily connect their account within Zapier and tap into key Ooma triggers—such as New Call, SMS, or Call Recording events. Once configured, these triggers can automatically initiate workflows across other platforms. For instance, an incoming call could instantly log details in Google Sheets or send a real-time notification to a Slack channel.

The integration also supports Actions, allowing users to execute Ooma events based on activity in other apps. For example, when a new contact is added in Google Contacts, Zapier can automatically save it as a Personal Contact in Ooma Office. This bi-directional flexibility enables dynamic, time-saving automations that keep systems synchronized without manual input.

Expanding the Ooma Productivity Ecosystem

The Zapier connection builds on Ooma’s growing suite of integrations designed to enhance business communication and workflow efficiency. Ooma Office already connects with leading business tools such as Salesforce, QuickBooks, and Square, offering users a unified hub for managing communications, sales, and operations.

“We’re excited to see what our customers can do with the freedom and power of automated workflows built with Zapier,” said Dennis Peng, Senior Vice President of Product Management at Ooma. “We expect they’ll find new ways to make Ooma Office even more productive.”

Streamlining Communication in a No-Code Era

The integration reflects a broader industry trend toward no-code automation—a movement allowing businesses to connect systems and streamline workflows without developer support. Platforms like Zapier have become indispensable for SMBs seeking to scale operations, reduce administrative overhead, and improve response times in a competitive digital landscape.

By embedding automation directly into its communications platform, Ooma positions itself as more than a VoIP provider—it’s now part of the automation-first movement redefining how modern teams operate.

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OPAQUE, the leader in Confidential AI, has launched OPAQUE Studio, a new LangGraph-based environment for building and deploying secure, verifiable AI agents. Now available on the OPAQUE Confidential AI Platform, Studio enables organizations to accelerate development with runtime-verifiable trust—a feature that provides privacy and compliance assurance before, during, and after execution.

The launch positions OPAQUE as the first company to deliver end-to-end privacy and policy compliance guarantees for enterprise-grade AI agents, setting a new standard for secure, production-ready AI deployment.

From Early Concept to Enterprise Mandate

Confidential AI has evolved from a niche concept to a boardroom priority within a year, gaining support from NVIDIA, AMD, Intel, Anthropic, and cloud providers including Google, Microsoft Azure, and AWS.

According to Gartner, confidential AI is becoming a foundational requirement for industries like finance, healthcare, and insurance. Enterprises unable to prove compliance in AI workflows, the report warns, could fall two years behind in adoption.

OPAQUE aims to close that gap. “A company’s most valuable asset is its proprietary data,” said Aaron Fulkerson, CEO of OPAQUE. “With OPAQUE, enterprises can safely harness their sensitive data to fuel AI—knowing privacy and compliance are verifiable, not just promised.”

Solving the Privacy Problem in AI

Traditional security tools—like Identity and Access Management—aren’t built for AI agents executing probabilistic code. They fail to prevent data exposure during runtime.

OPAQUE’s Confidential AI Platform addresses this by combining secure execution environments with policy-based controls that verify data isolation and compliance in real time. The result: enterprises can finally deploy AI agents trained on sensitive, proprietary data without risking leaks or breaches.

Key components include:

• OPAQUE Studio: A LangGraph-based, drag-and-drop workspace for creating confidential AI agents. Developers can enforce data access policies, integrate enterprise systems, and quickly move from prototype to production.

• OPAQUE Confidential Runtime: A hardware-attested engine that provides cryptographic privacy enforcement, runtime encryption, and post-execution audit logs for compliance verification.

Together, these components deliver:

• 4–5x faster AI deployment with verifiable compliance

• 67% cost reduction in production workloads

• Up to 99% accuracy improvement by safely grounding AI in sensitive data

A Partnership for Scalable, Trustworthy AI

“We built LangGraph to help developers design structured multi-agent systems,” said Harrison Chase, co-founder and CEO of LangChain. “Integrating with OPAQUE adds a layer of privacy and runtime trust—essential for teams working with sensitive data.”

OPAQUE’s customer and partner ecosystem already spans ServiceNow, Accenture, Encore Capital, Bloomfilter, RiskStream, and Anthropic. Early adopters across financial services, insurance, and software are leveraging OPAQUE to transform operations through confidential AI copilots and secure document analysis.

The Future of Confidential, Verifiable AI

OPAQUE’s approach represents the next step in AI evolution—where security, transparency, and scalability converge. By giving enterprises verifiable proof of compliance and privacy, OPAQUE transforms AI from a compliance risk into a competitive advantage.

In a world where data is both the engine and the liability of AI, OPAQUE Studio offers something rare: trust you can prove.

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In a move underscoring China’s growing influence in intelligent vehicle technology, smart has launched its first plug-in hybrid, the smart #5 EHD, powered by DeepRoute.ai’s assisted driving system. The partnership marks a major milestone in the collaboration between global automakers and Chinese AI innovators, combining luxury engineering with advanced autonomous technology.

During a joint test drive, DeepRoute.ai CEO Maxwell Zhou and smart Global CTO Yang Jun covered 30.9 kilometers of complex urban terrain—without a single driver takeover. The route included unprotected left turns, construction zones, dense traffic, and unmarked lanes, providing a rigorous test of the technology’s adaptability.

Map-Free Driving That Feels Human

DeepRoute.ai’s system impressed with its ability to recognize pedestrians, cyclists, and emergency vehicles while maintaining smooth, confident control. Its human-like decision-making demonstrated not only the precision of its algorithms but also its readiness for large-scale production.

“We believe the future of autonomous driving must prioritize safety and intuitive, human-like behavior—qualities we see in DeepRoute.ai’s technology,” said Yang Jun, Global CTO of smart. “When others questioned map-free technology, we chose to lead. This test proved that safety is the greatest luxury.”

Engineering for Scale and Reliability

DeepRoute.ai brings more than just technical sophistication—it brings proof of scale. “We’ve already delivered around 150,000 production vehicles globally, validating our engineering and manufacturing maturity,” said Maxwell Zhou, CEO of DeepRoute.ai. “Smart’s trust in our map-free technology reflects a shared vision of intelligent, accessible autonomy.”

The smart #5 EHD extends DeepRoute.ai’s proven technology from fully electric vehicles to plug-in hybrid platforms, advancing the goal of mainstream autonomous driving. The system addresses key industry pain points, including urban navigation complexity, data integration, and system scalability—areas where many traditional OEMs still struggle.

A Glimpse at the Next Phase of Intelligent Mobility

Looking forward, DeepRoute.ai is developing an integrated agent-based architecture that blends in-cabin AI models with intelligent driving systems. This convergence aims to create vehicles that can understand context, interact naturally with drivers, and anticipate needs—ushering in a new era of AI-driven mobility experiences.

Redefining the Assisted Driving Standard

The partnership between smart and DeepRoute.ai demonstrates how luxury and technology can coexist without compromise. It’s not just about automation—it’s about building trust through intelligence, safety, and seamless interaction.

By merging smart’s design DNA with DeepRoute.ai’s production-ready platform, the smart #5 EHD stands as a tangible example of what’s next for the automotive industry: intuitive, scalable, and human-centered assisted driving built for the connected age.

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DeltaStream, Inc., the company redefining stream processing, has announced the general availability of DeltaStream Fusion, its unified data streaming platform that merges streaming, real-time, and batch analytics into one serverless environment.

After an early-access phase validated by customer deployments, Fusion is now production-ready—and available on Microsoft Azure. The expansion gives enterprises greater flexibility to deploy analytics wherever their data resides, from the cloud to hybrid environments.

The platform’s newest iteration includes AI-driven pipeline creation, multi-engine orchestration, and enhanced support for GenAI applications and agents that depend on real-time data context.

Fixing the Fragmented Data Stack

Most organizations still rely on a patchwork of analytics systems—streaming for immediacy, batch for history, and real-time for operational dashboards. That fragmentation leads to fragile pipelines, higher costs, and stale data. Engineers spend more time tuning infrastructure than accelerating insights.

DeltaStream Fusion eliminates that complexity. The platform’s unified architecture allows users to handle all analytics workloads in one place—without provisioning servers or juggling multiple tools.

“Enterprises across verticals are struggling to stream data, but complexity and cost are holding them back from getting actionable, real-time insights,” said Hojjat Jafarpour, founder and CEO of DeltaStream. “Fusion eliminates tool sprawl, reduces operating costs, and enables every team to go from raw data to action in seconds.”

One SQL to Rule Them All

DeltaStream’s core innovation lies in simplicity. Teams can write queries once in SQL, while Fusion automatically chooses the optimal engine for execution across Apache Flink, Spark, or ClickHouse. This not only improves agility but also reduces dependency on specialized engineering expertise.

Additional highlights include:

• AI-assisted pipeline creation that converts raw data into insights within minutes.

• Serverless scaling, eliminating infrastructure management entirely.

• Cost optimization through efficient data movement and computation, helping reduce Snowflake and Databricks spend.

• Built-in observability and governance for enterprise-grade reliability.

Real-Time Data for the Age of AI

As enterprises race to make data usable for AI, BI, and business operations, DeltaStream Fusion aims to give them a competitive edge. The platform enables streaming-native intelligence that powers real-time personalization, dynamic decisioning, and autonomous systems.

“The next generation of data systems won’t be defined by how much data they store, but by how intelligently they turn it into insight,” said Yaroslav Tkachenko, founder of Irontools and a leading advocate for data streaming. “Platforms like Fusion represent the future—where real-time, batch, and analytics converge into one fluid experience.”

A Unified Vision for Data-Driven Enterprises

DeltaStream Fusion’s arrival on Azure marks a milestone for the company and for enterprises seeking to simplify modern data stacks. By collapsing data silos and automating performance optimization, DeltaStream promises a faster path to value—without the heavy lift of traditional infrastructure.

As real-time intelligence becomes a cornerstone of GenAI and modern analytics, DeltaStream’s unified platform is positioned to lead the charge toward a future where insight is instant, contextual, and effortless.

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Lemon Seed Marketing, a top branding and marketing agency for the home service industry, has announced Skagit Plumbing of Mount Vernon, Washington, as the winner of its Great American Brand Story (GABS) contest. The agency unveiled Skagit Plumbing’s new brand, message, and website live at Service World Expo 2025.

Launched earlier this year, GABS recognizes standout home service companies that embody strong values, local commitment, and growth-driven leadership. Each year, one company receives a complete brand transformation designed to enhance visibility, credibility, and market impact.

Celebrating Community and Craftsmanship

Skagit Plumbing earned the award for its exceptional customer service, deep roots in Skagit County, and dedication to integrity and excellence. The company’s story stood out as a model for what a modern family-owned business can achieve when purpose meets professionalism.

“This brand refresh reintroduces Skagit Plumbing to the community it has proudly served for over 11 years,” said Crystal Williams, co-owner and lead strategist at Lemon Seed Marketing. “Mark Sommers and his team represent everything the GABS initiative stands for—authenticity, service, and community pride.”

A New Look Rooted in Local Pride

The revamped brand centers around a new logo inspired by Skagit County’s heritage and a tagline that captures its spirit: “Staked in Community. Built on Trust.” This identity underscores the company’s long-standing values and its promise of dependable service.

To extend that mission, Skagit Plumbing launched Skagit Cares, a quarterly giveback program supporting local nonprofits chosen by public vote—further proving its commitment to the community it serves.

A Life-Changing Opportunity for Growth

“We’ve always believed that great service begins with great people and love for the community,” said Mark Sommers, owner of Skagit Plumbing. “Working with Lemon Seed and the GABS partners has been life-changing. This experience gave us a clear identity, powerful tools, and the confidence to grow. Our new brand truly reflects who we are and what we stand for.”

$150K Brand Overhaul Powered by Industry Collaboration

Lemon Seed Marketing assembled a team of 10 professional service partners to deliver a comprehensive brand transformation valued at more than $150,000. The package included:

• Brand strategy and design by Lemon Seed Marketing

• Membership and coaching from Service Nation

• A new website developed by Online Access

• A five-week PR campaign led by Ripley PR

• Additional promotional support from industry vendors

“We couldn’t have done it without our partners,” said Emily Fleniken, creative director and partner at Lemon Seed. “Their combined expertise helped us create something meaningful and lasting for Skagit Plumbing. Together, we delivered a transformation that empowers them to thrive in a competitive market.”

Elevating Home Service Branding

The Great American Brand Story initiative reflects a broader shift within the home service industry—one that values authentic storytelling, community engagement, and purpose-driven growth as much as technical skill.

By turning everyday service providers into memorable local brands, Lemon Seed Marketing is setting a new standard for what modern trade businesses can achieve with the right story—and the right partners—behind them.

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Cimulate, the company transforming search and merchandising for agentic commerce, has been named a Cool Vendor in Gartner’s “Cool Vendors in AI for Marketing” report, published on October 27, 2025, by analysts Sandy Shen, Nicole Greene, Suzanne Schwartz, and Julian Poulter.

The report highlights the growing value of generative AI in marketing, urging digital leaders to explore new use cases that move beyond content generation. Cimulate was featured for one of those high-impact applications—LLM-driven product discovery, a field poised to reshape how consumers find products online.

AI That Simulates, Learns, and Sells

“We’re honored to be named a Cool Vendor by Gartner,” said John Andrews, CEO of Cimulate. “This recognition reinforces our mission to deliver AI that’s not just generative, but truly agentic—capable of simulating, understanding, and improving real-time product discovery.”

Andrews noted that Cimulate’s approach combines data science with brand experience, giving marketers tools that not only enhance discovery but also drive measurable growth.

Synthetic Data Unlocks Next-Level Personalization

Gartner’s report identifies synthetic data as a major enabler for personalized marketing, particularly in privacy-sensitive or data-scarce environments. Cimulate’s technology uses simulated shopping sessions to generate synthetic data, helping retailers and brands overcome the “data disadvantage” faced against larger eCommerce platforms.

This approach allows agentic models to learn continuously from real user behavior. These models then optimize outcomes such as revenue, engagement, and acquisition—while maintaining full transparency and control for merchandisers.

Preparing for the Age of Answer and Generative Engine Optimization

As Answer Engine Optimization (AEO) and Generative Engine Optimization (GEO) gain traction, the rules of digital discovery are rapidly evolving. Cimulate’s CommerceGPT platform is designed to help digital marketers adapt to these shifts by connecting with conversational search patterns and optimizing content for both AI agents and human users.

By enabling brands to “speak the language” of agents, Cimulate positions itself at the forefront of the new era of commerce—where discovery happens through conversation, not just clicks.

What’s Next for Cimulate

Cimulate plans to showcase its latest innovations at the NRF Innovation Zone, taking place from January 11–13, where attendees can explore live demos of its CommerceGPT platform and learn how agentic AI is redefining digital merchandising.

As AI reshapes marketing strategies across industries, Cimulate’s recognition by Gartner signals a broader shift toward intelligent, simulation-based personalization—one that could set the benchmark for the next decade of commerce technology.

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Stelo, a leader in enterprise data replication, has announced the availability of Stelo Data Replicator on Google Cloud Marketplace. The launch enables organizations to purchase, deploy, and manage Stelo directly through their existing Google Cloud accounts — modernizing data pipelines without additional tools, licensing hurdles, or integration delays.

Bridging Legacy and Cloud Data Systems

Stelo Data Replicator is a no-code data replication platform designed to move data effortlessly across both legacy and modern environments. Supporting systems such as IBM Db2 for iSeries and LUW, MySQL, and SQL Server, Stelo enables real-time replication into Google BigQuery and other Google Cloud data services.

The tool supports both data mirroring and streaming, allowing continuous synchronization between on-premises and cloud systems — without disrupting daily operations or depending on third-party integration layers.

Validated by Google Cloud for BigQuery

Stelo is a Google Cloud Ready – BigQuery Validated Partner, a designation that certifies its seamless compatibility with Google’s data ecosystem. This validation ensures Stelo meets Google Cloud’s benchmarks for reliability, security, and performance.

Dai Vu, Managing Director of Marketplace & ISV GTM Programs at Google Cloud, emphasized the value of the collaboration:

“Bringing Stelo to Google Cloud Marketplace will help customers quickly deploy, manage, and scale its no-code data replication tool on Google Cloud’s trusted, global infrastructure. Stelo can now securely scale and support enterprises that want to use Stelo Data Replicator to support data mirroring and streaming without added infrastructure complexity.”

Simplified Integration with Google Cloud Stack

Unlike traditional ETL or replication platforms that require extensive setup, Stelo integrates natively with the Google Cloud environment. The solution’s near-zero footprint and built-in automation allow data teams to replicate efficiently while minimizing system load and configuration time.

Paul Rampel, Founder and CEO of Stelo, highlighted the impact of this launch:

“With our Google Cloud Marketplace listing, teams can replicate data into BigQuery faster and with less complexity. As a Google Cloud Ready – BigQuery Validated partner, our customers gain confidence that Stelo integrates seamlessly and delivers proven reliability for real-time replication.”

Expanding Accessibility Across Cloud Platforms

The Google Cloud Marketplace listing marks a key milestone in Stelo’s broader mission to make enterprise-grade data replication accessible across multiple cloud platforms. By removing the friction from data movement and integration, Stelo empowers organizations to modernize data architectures at scale — supporting hybrid, multi-cloud, and on-premises ecosystems.

With Stelo now part of Google Cloud Marketplace, enterprises can modernize their data operations with speed, security, and simplicity — turning replication into a strategic advantage for digital transformation.

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Later, a leading influencer marketing partner for enterprise brands, has launched Later EdgeAI, a proprietary AI-native engine that promises to turn the art of influence into measurable science. Built on what the company calls the industry’s richest influencer dataset, EdgeAI aims to bridge the gap between creator collaboration and business impact.

AI Trained on a Decade of Influence

Later EdgeAI isn’t just another algorithmic add-on. It’s trained on over a decade of influencer campaign data — covering 16 million creators, 136 billion annual impressions, over 1 billion Linkin.bio transactions, and $2 billion in verified influencer-driven purchases.

This scale allows EdgeAI to predict campaign performance, identify high-impact creators, and drive ROI across the marketing funnel. For brands, that means turning once-unquantifiable influence into tangible business outcomes.

AI That Learns Your Brand

According to Justin Withers, Chief Product Officer at Later, EdgeAI goes beyond basic analytics.

“With Later EdgeAI, your brand gets its own dedicated engine that learns from your goals, past campaigns, and performance outcomes,” said Withers. “The recommendations are tailored to your strategy, your audience, and your objectives. It’s AI that evolves with your brand.”

Later positions EdgeAI as an adaptive system — continuously refining its recommendations based on both brand-specific data and broader creator ecosystem signals. The result is faster campaign execution, improved creator matching, and outcomes that align more closely with business objectives.

Data-Driven Intelligence Meets Human Strategy

Unlike tools that bolt on generic AI features, EdgeAI is deeply embedded across Later’s platform and services. It draws from creator performance, commerce outcomes, and cultural trends to guide campaign strategies in real time.

Later’s services team leverages this intelligence to craft influencer programs that are sharper, more targeted, and more effective with every iteration.

Devon Santelman, Associate Manager of Brand Experience at General Mills, praised the collaboration:

“Despite a complex media strategy with dual objectives of awareness and conversion, the Later team integrated seamlessly into our business, proactively identifying new opportunities to enhance our in-market performance.”

The Enterprise Standard for Influencer Marketing

For Scott Sutton, CEO of Later, the launch marks a turning point for influencer marketing:

“Later EdgeAI marks the next era of influencer marketing. For the first time, brands can run influencer programs with the same dependability, scalability, and proven results they expect from their more established marketing channels.”

EdgeAI cements Later’s reputation as the enterprise standard for influencer marketing, blending advanced AI, vast data coverage, and trusted human expertise. The platform’s intelligence layer powers both technology and strategy, setting a new benchmark for measurable influence.

Driving the Future of Influence

The launch follows a string of AI investments from Later, including AI-powered Brand Suitability Insights, which helps marketers optimize every influencer dollar. With EdgeAI, Later aims to elevate influencer marketing into a predictive, performance-driven discipline — where creativity meets accountability.

As influencer marketing matures into a core pillar of enterprise media strategy, Later EdgeAI could very well become the engine that defines its next evolution.

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