Meet Ennoia Technologies—a U.S.-based startup headquartered in Dallas, Texas, developing AI agents for wireless edge networks with small language models. “Ennoia” is a Greek word rich with meaning tied to thought and intention—particularly persuasive thought.

Ennoia Technologies is pioneering AI-driven solutions for telecom operators, with a focus on intelligent planning, installation, and monitoring of RAN deployments. Its agent-based architecture is designed to reduce both CAPEX and OPEX by delivering deep, actionable insights, down to the physical layer. The company specializes in non-intrusive, vendor-neutral tools powered by small language models (SLMs) that operate entirely offline to ensure privacy, portability, and resilience in the field.

We caught up with founder and Chief Executive Officer Dr. Sridhar Rajagopal to ask why he believes AI-RAN Alliance membership makes sense for Ennoia Technologies.

Tackling Issues Together Today …

“Processing and monitoring the RAN physical layer presents significant challenges from handling real-time data streams in the tens of gigabits per second, to operating under compute and power constraints. On top of that, training AI models in telecom often raises access and privacy concerns,” posits Rajagopal. “We joined the AI-RAN Alliance to engage with a broader ecosystem tackling these exact issues. It’s the ideal forum for collaborative innovation, where we can share insights, shape standards, and accelerate practical solutions for AI in RAN.”

… to Shape Tomorrow’s Systems

Radio access networks are inherently complex; they generate enormous volumes of data and demand the correlation of countless KPIs. Managing them requires vast domain expertise and the optimization of thousands of parameters. “These are precisely the kinds of challenges where AI excels,” says Rajagopal. “By automating correlation, optimization, and predictive analysis, AI will transform RANs into more adaptive, efficient, and resilient systems. In the future, AI won’t just support RAN operations, it will enable networks to self-tune, self-heal, and deliver performance that scales seamlessly with demand.”

“Our technology supports the AI-RAN Alliance’s mission by focusing on the operational side of RAN, which is often the largest investment area for operators,” sums up Rajagopal. “While some attention is given to functional AI-RAN use cases, we believe operations, from deployment to monitoring and optimization, is an important area where AI can deliver immediate, measurable impact. By embedding intelligence into these processes, we help operators reduce costs, improve efficiency, and make their networks more adaptable. This approach aligns directly with the Alliance’s goal of revolutionizing telecom through smarter, AI-enabled RAN.”

End-to-end Lifecycle Transformation

When asked where the biggest opportunities will be found for AI in the next five years, Rajagopal takes a broad view. “The biggest opportunities for AI in RAN lie in transforming the entire lifecycle, from design and coding to testing, deployment, and ongoing optimization. AI can streamline today’s complex RAN environments, making them more efficient, adaptive, and cost-effective,” he forecasts. “These advances will not only enhance current deployments but also lay the foundation for 6G, where intelligent automation will be essential. In short, AI will shift RAN from being manually engineered systems to self-optimizing, self-evolving networks.”

Persuasive Thought Attracts Validation

Ennoia Technologies was recently honored with an Innovation Award from the Alliance, recognizing their proposed research to address a real-world RAN challenge. “We are excited to build on that momentum by working within the Alliance’s WG2 team to convert our proposal into a formal work item,” explains Rajagopal. “Our focus is on accelerating integration, validation, and deployment of AI-RAN networks, ensuring operators can adopt these technologies with confidence.”

And there’s more. “Beyond WG2, we are also planning to contribute to the Data-for-AI, Test Methodology, and Agentic AI groups, which we view as key drivers for the Alliance’s mission. Data pipelines, rigorous testing frameworks, and agentic intelligence are essential to making AI-RAN practical, scalable, and future-ready, and we want to work with the members to solve these key industry challenges.”

More About Alliance Membership

The AI-RAN Alliance thrives on collaboration among visionaries, researchers, and operators and their communities. And the shared missions and visions of membership ensure that vital collaboration thrives within the Alliance. To learn how your organization can benefit from membership while contributing to the future of AI-RAN, visit our membership page.