Mustafa Ergen

From 01/12/2024 to 01/07/2025

Challenges

LlmIT - LLM for IT for auto-monitoring, optimizing, and troubleshooting end-user broadband experience.

EAEC, European American Enterprise Council

Prof. Dr. Mustafa Ergen is a tech entrepreneur and academic with a global impact. He co-founded WiChorus in Silicon Valley, later acquired by Tellabs, and played a key role in Turkey’s 5G initiatives, including ULAK. As CEO of Ambeent, he won global Wi-Fi awards and joined the EU Innovation Accelerator. He has held leadership roles at Türk Telekom, Güneş Sigorta, and Turcas Holding. At ITU, he led AI and cybersecurity centers while advising Sabancı University and UC Berkeley. With 50+ patents and five books, he is recognized among the world’s top 2% scientists by Stanford.

Books:

• Entrepreneurial Capital: The History of Silicon Valley and the Startup Economy, Alfa Publishing, 2022
• 移动宽带系统——包括WiMAX和LTE, PHEI, Chinese, 2011
• Mobile Broadband: Including WiMAX and LTE, Springer, 2009
• Multi-carrier Digital Communications: Theory and Applications of OFDM, Springer, 2004
• Wireless Token Ring Protocol, ASIN: B001K7JCOW, California Path, 2002

AI-Driven Automation for Support Call Cost Optimization

Purpose & Challenge

Customer support in telecom is costly and inefficient, with service providers struggling to automate troubleshooting effectively. Traditional LLMs lack domain-specific knowledge of telecom operations, such as network diagnostics, router resets, and service plan optimizations. To achieve full automation and self-healing capabilities, the integration of real-time end-user and customer data is essential.

Solution & Business Model

Ambeent’s AI-driven SaaS platform optimizes support call operations through automation, reducing costs and improving customer experience. The solution operates on a monthly subscription model, targeting:

1. ISPs (e.g., AT&T, Verizon) for automated installation, monitoring, and troubleshooting.
2. Enterprises enabling remote work with optimized connectivity solutions.
3. Managed Service Providers (e.g., CapGemini, ServiceNow, Acronis) to enhance SME client services.
4. OTT Platforms (e.g., Meta, Apple, Netflix, Hulu, Disney) to ensure seamless content delivery.

During the NGI Transatlantic Fellowship, the following key results were achieved, aligning with the expected outcomes of the project:

1. Development of Innovative Technologies

• Advanced LlmIT, a telecom domain-specific LLM for real-time network monitoring, optimization, and troubleshooting.
• Integrated end-user and network operator data to refine AI-driven network management solutions.

2. Pilot Testing & Validation

• Engaged in discussions with ISPs, enterprises, and tech partners in the US to conduct real-world pilot testing of Ambeent’s solutions.
• Defined use cases for AI-driven self-healing network operations in partnership with US telecom operators.

3. Strengthened Industry & Investment Engagement

• Initiated funding discussions with VCs and investors in the telecom and AI sectors.
• Explored potential grant applications in both the US and EU for further R&D.

4. Business & Market Expansion

• Positioned Ambeent’s technology for entry into the US telecom and AI market.
• Engaged in discussions with Nible Partners, EchoStar, and Applovin for market applications.

1. Strengthening Research & Innovation Collaboration

✅ Built new collaborations with US-based AI & telecom researchers to improve LLM-based telecom automation.

✅ Explored potential joint R&D projects and proposals for funding.

2. Accelerated Industry & Investment Engagement

✅ Engaged with investors, venture capital firms, and tech partners, expanding Ambeent’s network.

✅ Discussed funding strategies with US VCs and potential EU funding sources.

3. Technology Validation & Deployment

✅ Conducted initial discussions on demo/pilot testing with key telecom players in the US.

✅ Explored technical integration opportunities for Ambeent’s LlmIT with US telecom networks.

4. Business & Start-up Growth

✅ Refined business model & market strategy for entering the US telecom sector.

✅ Established new business partnerships with US companies for deployment.

5. Expanding Scientific & Research Contributions

✅ Plans to publish findings in scientific conferences in the telecom & AI domains.

✅ Explored opportunities for joint EU-US research publications with host institutions.

6. Career Advancement & Future Opportunities

✅ Strengthened Ambeent’s position in the global telecom AI landscape.

✅ Opened new job opportunities in AI-driven telecom automation.

Conclusion

The NGI Fellowship significantly accelerated Ambeent’s research, business, and investment opportunities in the US. By leveraging these connections, Ambeent is now in a stronger position to scale its AI-powered telecom solutions while bridging EU-US collaborations in next-generation AI-driven connectivity.