11x Raises $24M in Series A to Scale Its AI Digital Workforce Platform

TechTarget and Informa Tech have joined forces to advance a unified Digital Business ecosystem, weaving together a vast network that spans hundreds of digital properties and a broad landscape of technical topics. This collaboration fuses TechTarget’s depth of hands-on, practitioner-focused coverage with Informa Tech’s cross-market reach and industry intelligence, creating a single, powerful platform designed to equip technology buyers, sellers, and researchers with timely, objective, and original content from trusted sources. The combined entity now operates an expansive network of more than 220 online properties, covers more than 10,000 granular topics, and serves a global audience of more than 50 million technology professionals. The shared mission centers on delivering critical insights that empower decision-makers across their most important business priorities, translating complex trends into clear, actionable guidance for IT leaders, engineers, data scientists, and business executives alike. This integrated approach enhances credibility, accelerates discovery, and helps technology buyers navigate an ever-evolving landscape with confidence.

Overview of the Digital Business Alliance

The consolidation of TechTarget’s journalism and Informa Tech’s market intelligence marks a strategic alignment of editorial rigor, market analysis, and practical guidance. The partnership is designed to maximize the reach and relevance of high-quality, original content by leveraging a complementary mix of authoritative news, deep-dive analysis, buyer’s guides, white papers, and data-driven reports. By combining extensive newsroom capabilities with research-driven insights, the alliance offers a comprehensive continuum of coverage—from breaking developments and technology news to detailed evaluations of products, platforms, and vendor ecosystems. The overarching objective is to deliver consistently reliable information that technology professionals can rely on to make informed choices, prioritize investments, and implement solutions that yield measurable business outcomes. In this framework, content serves multiple purposes: it informs strategic planning, supports technical decision-making, fuels enterprise-wide digital transformation initiatives, and guides procurement and vendor selection processes. The merged platform emphasizes objectivity, accuracy, and relevance, ensuring readers receive balanced perspectives from trusted sources across the technology spectrum.

The Digital Business alliance emphasizes a holistic content strategy built around several core pillars. First, it maintains a deep, ongoing commitment to original reporting and analysis, differentiating its work from republished or syndicated material. Second, it emphasizes clarity and practical value, translating intricate technologies into insights that business leaders can act upon. Third, it sustains a wide breadth of topics—from foundational IT disciplines to cutting-edge developments in artificial intelligence, data analytics, edge computing, cybersecurity, and IoT—so readers can stay ahead of both the strategic and operational implications of technology trends. Fourth, the network places strong importance on the quality of sources, ensuring that content reflects real-world usage, vendor landscape dynamics, and the evolving needs of enterprise technology teams. Finally, it positions itself as a trusted partner for professionals seeking to align technology investments with business goals, risk management considerations, and competitive differentiation in a rapidly changing market.

Network Reach, Audience, and Content Scope

The integrated platform now commands an unparalleled scale in the technology media landscape. With a portfolio spanning more than 220 online properties, the network curates and disseminates content across more than 10,000 granular topics, providing exhaustive coverage that touches on every major domain within modern IT and digital transformation. The breadth of topics includes, but is not limited to, deep learning, neural networks, predictive analytics, language models, speech recognition, and chatbots within the artificial intelligence and machine learning space. It also encompasses data-centric disciplines such as data science, data analytics, and data management, including the generation and application of synthetic data. In the realm of operational technology and infrastructure, the network covers data centers, edge computing, cloud computing, cybersecurity, and the evolving data governance and policy environment that governs responsible AI and explainable AI practices. The scope extends to enterprise engineering and manufacturing contexts, including industrials and manufacturing, with a focus on how AI, IoT, and automation reshape processes, efficiency, and decision-making at scale.

The audience reach is substantial and purpose-driven. By serving more than 50 million technology professionals, the platform supports a diverse array of roles—from IT admins and cybersecurity specialists to data scientists, software engineers, cognitive system researchers, and executive decision-makers. The content is purpose-built to support both tactical tasks and strategic planning, enabling professionals to stay current with the latest developments, validate vendor capabilities, compare technologies, and prepare for enterprise-wide adoption. The editorial approach centers on originality, objectivity, and practical relevance, ensuring that insights reflect real-world use cases, performance considerations, and the practical constraints that organizations encounter in deploying complex technology solutions. The combination of a broad topic spectrum and a large, varied readership creates a robust environment for knowledge exchange, peer benchmarking, and informed decision-making that aligns with enterprise priorities such as security, reliability, scalability, and return on investment.

In addition to editorial offerings, the network emphasizes knowledge resources that empower buyers and technologists to move beyond hype. In-depth reports, vendor comparisons, scenario analyses, and practitioner-focused how-to content are integrated into the content mix to support decision workflows. The platform also recognizes the importance of timely updates in a fast-moving technology environment, ensuring readers have access to fresh perspectives on emerging trends, regulatory developments, and market dynamics. The result is a holistic information ecosystem where readers can explore foundational concepts while also tracking next-generation technologies, with content that is consistently aligned to real-world business needs and technology budgets.

Key Brands, Platforms, and Editorial Focus

Within the enlarged Digital Business framework, prominent brands and platforms anchor the content strategy and ensure consistent quality across a diverse set of topics and use cases. IoT World Today stands out as a flagship property for coverage on the Internet of Things, connected devices, industrial applications, and the integration of IoT with enterprise systems. The IoT lens is complemented by Omdia, a respected analytics and advisory brand known for data-driven market intelligence, technology research, and strategic guidance. Together, these core properties shape a robust editorial backbone that integrates market intelligence with hands-on, practitioner-oriented reporting.

The combined platform continues to emphasize the critical intersection of operational technology, information technology, and business strategy. Coverage extends across cloud adoption, data centers, cybersecurity, edge computing, and emerging computing paradigms such as quantum computing and AI-powered automation. Within AI and machine learning, the network maintains a sustained focus on language models, NLP, speech recognition, and the deployment of AI systems across enterprise environments, including the development of AI-powered assistants, automation of workflow processes, and the governance structures necessary to manage risk and ensure accountability.

The editorial program supports a comprehensive suite of content formats designed to meet varied reader preferences and procurement stages. News and feature reporting capture breaking developments and strategic implications, while in-depth analyses examine vendor ecosystems, architectural considerations, and implementation tradeoffs. Buyer’s guides and white papers offer practical decision support, including product comparisons, use-case validation, and capability checklists. The content is designed to assist readers in aligning technology choices with organizational goals, budgets, and risk tolerance, and to provide a reliable reference point for technology selection throughout an enterprise’s lifecycle.

Readers also benefit from cross-cutting features that contextualize technology within broader business trends. For instance, coverage of AI governance, data governance, explainable AI, and AI ethics addresses the regulatory and ethical considerations that accompany rapid AI adoption. The network’s analytics-informed perspectives help organizations plan for responsible AI deployments, assess regulatory compliance requirements, and design operational processes that maintain transparency and accountability.

In addition to core editorial properties, the broader Digital Business alliance includes a repertoire of vertical-focused coverage and industry-specific perspectives. The data centers and cloud computing domains explore capacity planning, energy efficiency, and resiliency strategies, while manufacturing and industrial sectors examine the role of automation, robotics, and digital twins in modern production environments. Cybersecurity remains a central theme across all verticals, with emphasis on threat intelligence, secure architectures, zero-trust models, and incident response readiness. By weaving together these domains, the network delivers a cohesive, reliable, and comprehensive view of the technology landscape that supports informed decision-making across multiple organizational levels.

Topics, Trends, and Knowledge Themes Across Coverage

A defining attribute of the Digital Business alliance is its expansive topic taxonomy, which enables granular coverage of both time-tested IT disciplines and the newest innovations reshaping the technology economy. The network systematically categorizes content along major topical clusters, each containing subtopics that reflect evolving practitioner concerns and market dynamics. The following is a representative, non-exhaustive taxonomy of topics and subtopics that anchor the content strategy:

• Artificial intelligence and machine learning: deep learning, neural networks, predictive analytics, data-driven decision-making, and the practical deployment of AI across line-of-business functions.
• Natural language processing and human-computer interaction: language models, speech recognition, conversational agents, and chatbots, explored in terms of capabilities, integration patterns, and user experience considerations.
• Data: data science, data analytics, data management, data governance, synthetic data generation, and the data pipelines that enable scalable analytics.
• Automation and orchestration: intelligent automation, robotic process automation, workflow automation, and the orchestration of multi-system processes to improve efficiency and accuracy.
• IoT and connected devices: industrial IoT, edge devices, sensor networks, and the integration of IoT data with cloud and enterprise IT stacks.
• Infrastructure and platforms: data centers, cloud computing, edge computing, virtualization, and the evolving architecture required to support modern applications.
• Security and risk management: cybersecurity, threat intelligence, secure design patterns, zero-trust architectures, and governance frameworks for AI and data security.
• Industry and manufacturing: industrials and manufacturing applications, digital manufacturing, supply chain digitalization, and analytics-driven optimization in production environments.
• Quantum computing and advanced computing resources: quantum resources access, quantum-ready workloads, and the implications for enterprise IT strategy.
• Policy, governance, and ethics: AI policy, explainable AI, responsible AI, and regulatory considerations shaping adoption and accountability.

The editorial approach consistently emphasizes depth and utility, ensuring coverage provides readers with not only high-level awareness but also concrete guidance for planning, evaluating, and implementing technology initiatives. Case studies, benchmarks, and scenario analyses are used to illustrate how frameworks, architectures, and trends translate into real-world outcomes. The network also capitalizes on cross-topic synergies, highlighting how advances in AI intersect with data governance, security, and operational efficiency to drive business value. As trends evolve, the taxonomy is continuously refined to reflect the latest research findings, market trajectories, and practitioner feedback, ensuring the content remains aligned with the most pressing questions faced by technology teams today.

Editorial Integrity, Originality, and Practical Value

A central tenet of the Digital Business alliance is the commitment to originality and objectivity. The platform prioritizes original reporting, independent analysis, and evidence-based assessments, avoiding sensationalism or bias in favor of balanced viewpoints. This emphasis on trustworthiness is designed to empower readers to rely on the content as a steady companion through technology decisions that affect budgets, timelines, and strategic outcomes. By leveraging a combination of experienced editors, subject-matter experts, and data-driven researchers, the network ensures that insights reflect current realities and credible forecasts, allowing technology teams to benchmark their approaches against peer practices and industry benchmarks.

The editorial process is structured to maximize clarity and utility for readers at all stages of their decision journey. News coverage prioritizes timeliness and accuracy, with follow-up analyses clarifying the implications of developments as markets shift. In-depth features explore architectural considerations, deployment strategies, and performance outcomes, offering readers a thorough basis for evaluating options. White papers and buyer’s guides emphasize practical decision support, providing checklists, evaluation criteria, and comparative frameworks that simplify complex decision trees. Across all formats, the emphasis remains on actionable insights that readers can apply to real-world scenarios, whether evaluating new AI capabilities, planning data center modernization, or mapping a cybersecurity strategy to regulatory requirements.

Quality assurance underpins every piece of content. Editorial standards govern sourcing, methodology, and verifiability, with an emphasis on transparent disclosures regarding data sources, assumptions, and limitations. The platform also seeks to reflect diverse perspectives, ensuring that coverage includes a range of vendor ecosystems, deployment models, and organizational contexts. This commitment to fairness supports readers in forming well-rounded opinions and making informed trade-offs rather than relying on singular narratives. The result is a trustworthy knowledge resource that readers can consult as a reliable reference throughout technology life cycles, from ideation and pilot phases to large-scale implementation and ongoing optimization.

Engagement with Buyers, Partners, and the Market Ecosystem

The consolidated Digital Business platform is designed to engage buyers across their procurement journey. By combining practical buyer’s guides with rigorous market intelligence, the network supports vendor evaluations, competitive benchmarking, and architecture planning. This content mix helps technology leaders articulate requirements, justify investments, and align technology choices with organizational objectives, risk tolerance, and total cost of ownership considerations. Partners—included as collaborators rather than merely advertisers—benefit from access to a high-intent audience seeking authoritative, vendor-neutral insights to inform purchasing decisions. This alignment fosters a mutually beneficial ecosystem in which information quality and market intelligence drive better outcomes for both buyers and suppliers.

In terms of audience engagement, the platform emphasizes accessibility and usability across devices and channels. The content is structured to support quick glances for busy executives and in-depth study for engineers and analysts. This balance is achieved through a combination of concise explanatory pieces, detailed technical analyses, visual data representations, and narrative case studies that illustrate practical applications. The inclusion of cross-disciplinary perspectives—ranging from data science and systems engineering to risk management and governance—helps readers connect technical details to broader business implications. The end result is a resource that can accelerate decision-making, reduce the time to insight, and enable more precise alignment between technology initiatives and organizational strategies.

IoT World Today, Omdia, and Event-Driven Knowledge Exchange

A cornerstone of the Digital Business collaboration is the integration of IoT World Today with Omdia’s market intelligence, creating a dynamic hub for readers interested in how connected devices, intelligent systems, and data-driven operations reshape modern enterprises. IoT World Today provides in-depth coverage of industrial IoT deployments, smart factories, and the convergence of IoT with AI, analytics, and cloud ecosystems. By blending practical case studies with strategic analyses, the platform offers a nuanced view of how IoT technologies scale, secure, and deliver measurable business value in diverse industries. Omdia contributes its analytics framework, benchmarks, and market context, complementing IoT-focused reporting with data-driven insights on vendor landscapes, market share shifts, and technology adoption curves.

The combined footprint supports a broad spectrum of events, webinars, and educational offerings designed to translate knowledge into action. While the core editorial content emphasizes independent reporting and analysis, the event programs provide opportunities for hands-on learning, product demonstrations, and peer-to-peer exchange. This approach ensures readers can translate insights from articles into practical plans, pilot programs, and scalable implementations within their own organizations. By leveraging the strengths of IoT World Today and Omdia within a single, integrated ecosystem, the Digital Business platform offers a cohesive path from discovery to deployment, enabling enterprises to evaluate, adopt, and optimize IoT-enabled solutions with confidence.

Data, Centered Analytics, and the AI-Infused Enterprise

The content strategy places strong emphasis on data-driven decision-making, recognizing that data quality, governance, and analytics capabilities are foundational to successful technology outcomes. Across data science, data analytics, and data management, the platform offers a spectrum of resources, from foundational tutorials to advanced analyses of data pipelines, cleansing strategies, and data governance frameworks. The coverage also addresses the practical challenges of synthetic data, which can support model training, testing, and validation while mitigating privacy and compliance concerns. By situating data considerations within the broader context of AI, automation, and digital transformation, the platform helps readers understand how data strategy underpins reliable AI and scalable software systems.

In parallel, the network maintains a robust focus on digital infrastructure, including data centers, cloud, and edge computing. Articles, white papers, and tutorials explore capacity planning, energy efficiency, reliability, and resilience—critical concerns as organizations move toward distributed architectures and hybrid multi-cloud environments. The AI and ML narratives intersect with these infrastructures, examining how scalable data pipelines, model deployment patterns, and monitoring capabilities influence performance, cost, and security. The resulting body of content provides a comprehensive resource for IT leaders seeking to design, implement, and manage resilient, data-driven infrastructure that supports advanced analytics and AI workloads.

Case Studies, Industry Movements, and Market Narratives

The integrated platform also features high-impact case studies and market movements that illustrate how theories translate into practice. One notable example centers on autonomous digital workers—an area highlighted in a recent industry development where an 11x AI startup announced a substantial funding round to accelerate its mission of automating go-to-market operations with AI-powered digital workers. The funding round, led by top-tier venture investors, underscored the market’s strong appetite for AI-enabled automation that augments human capabilities rather than merely replacing them. The company’s leadership described its strategy as a reimagining of the workforce, arguing that digital workers can perform a broad set of tasks across revenue teams, enabling human workers to focus on higher-value activities. The investment is positioned to accelerate product development, expand the team, and broaden the company’s global footprint, particularly in the United States. The company’s Alice AI-powered sales development representative aims to automate prospecting, multi-channel engagement, and personalization at scale, while a newer Jordan AI phone representative targets inbound lead qualification. These developments illustrate the practical application of AI in sales workflows and the broader potential for AI to transform business processes enterprise-wide.

Within the same narrative stream, the platform presents analyses of regulatory and ethical considerations shaping AI adoption. Articles explore how governance frameworks and policy trends influence AI deployment, highlighting the evolving focus on future-proofing AI projects and ensuring compliance with emerging standards. Additional case studies discuss how AI can be integrated into enterprise workflows through end-to-end AI pipelines, touching on architecture, governance, and monitoring requirements. The platform also features comparative discussions on AI readiness in different industries, examining barriers to adoption, talent availability, and alignment with strategic objectives. Collectively, these narratives provide readers with a practical understanding of where AI is headed, how to prepare for it, and how to measure success across multiple dimensions of the enterprise.

In parallel with AI progress, market reports and expert analyses examine the quantum computing frontier and related resources. Partnerships, proposals, and pilots explore how quantum resources could unlock new classes of optimization problems, simulation capabilities, and cryptographic approaches. The broader AI and data-centric discourse also encompasses topics like explainable AI, responsible AI, and AI ethics, reinforcing the importance of transparency, accountability, and governance in complex AI deployments. These discussions are complemented by hands-on tutorials and best-practice guides that assist practitioners in designing AI systems with interpretability and risk management in mind.

A Strategic Resource for Buyers, Partners, and Innovators

For buyers, this consolidated Digital Business platform represents a strategic resource designed to accelerate decision-making, enhance vendor assessments, and streamline the path from exploration to procurement. The combination of original reporting, market intelligence, and practitioner-focused guidance supports the creation of robust evaluation criteria, the benchmarking of vendor capabilities, and the development of deployment roadmaps. By offering rich content that covers both the technical and business dimensions of technology initiatives, the platform helps buyers articulate requirements, prioritize initiatives, and assess total cost of ownership across different scoping scenarios. For vendors and partners, the ecosystem provides a high-quality forum for showcasing capabilities in a manner that emphasizes value, performance, and real-world outcomes rather than marketing rhetoric. The content’s emphasis on objectivity and evidence-based analysis equips partners with a credible channel to engage a discerning audience of technology decision-makers.

From an SEO and discoverability perspective, the integrated network benefits from a disciplined content strategy designed to maximize visibility for relevant, intent-driven queries. The breadth of topic coverage ensures that readers searching for information across the AI, data, cybersecurity, IoT, and infrastructure domains can locate relevant resources within a single, trusted ecosystem. The architecture of the network supports cross-linking and related-topic navigation in a way that reinforces expertise signals and topical authority, while maintaining a clean, navigable user experience across desktop and mobile devices. The result is a scalable, durable platform that can adapt to evolving search patterns and reader needs while preserving the integrity of its editorial mission.

Culture, Talent, and Sustainable Knowledge Delivery

The Digital Business alliance also reflects a culture of continuous improvement and talent development. The editorial teams are led by professionals who bring decades of experience in digital media, technology journalism, and industry analysis. The emphasis on ongoing education, research rigor, and thoughtful synthesis ensures that the platform remains aligned with the evolving demands of technology professionals and business leaders. The collaborative environment encourages cross-pollination of ideas across topics, enabling the creation of integrated content experiences that connect technical detail with strategic implications. This integrated approach supports the long-term viability of the platform by maintaining high standards of quality, relevance, and reliability.

Sustainability and responsible content practices are integral to the platform’s operating model. The editorial process emphasizes accuracy, reproducibility, and transparency, with clear disclosures about data sources, methodologies, and limitations. By building trust with readers, the platform fosters ongoing engagement and loyalty, encouraging professionals to return for timely updates, data-informed insights, and practical guidance. The content strategy is designed to scale with the needs of a growing readership, ensuring that as topics expand and evolve, the platform remains a dependable, authoritative source for enterprise technology decision-making.

Conclusion

The unification of TechTarget and Informa Tech’s Digital Business properties represents a strategic shift toward a more cohesive, comprehensive, and credible knowledge ecosystem for technology professionals. By combining a 220-plus property network with coverage across more than 10,000 granular topics, the platform delivers deep, original, and objective content to a global audience of over 50 million professionals. The collaboration strengthens the ability to offer actionable insights that inform business priorities, support technology procurement, and guide digital transformation efforts across industries. With IoT World Today, Omdia, and a broad suite of topic areas spanning AI, ML, data, infrastructure, security, and manufacturing, the platform provides an integrated knowledge resource that readers can rely on for trusted guidance in a complex, rapidly evolving landscape. This strategic braid of editorial excellence, market intelligence, and practical utilities positions the Digital Business alliance as a premier destination for readers seeking clarity, confidence, and actionable outcomes in the age of intelligent technologies.