In this episode of the AI Interconnect podcast, Laurent Cochet interviews Charles Stucki, VP of Marketing at Neeve, a company revolutionizing the smart building and operational technology landscape. They discuss Charles's journey from McKinsey to Neeve, the mission behind the company, and how Neeve integrates AI, cybersecurity, and operational technology into a single platform. The conversation covers the challenges of modernizing legacy systems, the importance of data aggregation, and the powerful use cases of Neeve's solutions. Charles shares insights on marketing deep tech to non-engineers, the evolving landscape of privacy and compliance, and the vision for Neeve in the coming years.
Chapters
00:00 Introduction to Intelligent Infrastructure
05:46 Neve's Mission and Vision
07:18 Understanding Neve's Platform and Solutions
11:20 Integrating Cybersecurity, AI, and Operational Tech
14:35 The Breakthrough of Neve's Secure Edge Model
16:42 Client Setup and Deployment Process
20:20 Powerful Use Cases of Neve's Platform
24:29 Game-Changing Discoveries with AI
27:49 Challenges in Adoption and Market Perception
30:57 Unlocking Cloud Benefits for OT Operations
32:35 AI and Cybersecurity Trends in Smart Buildings
35:14 Evolving Privacy and Compliance Standards
37:13 Marketing Strategies in a Crowded Market
39:44 Visibility and Brand Positioning
42:15 Adapting to AI in Brand Building
44:25 Building a High-Performing Team
46:34 Staying Grounded in a Fast-Moving Landscape
47:53 Vision for Neve: Future Moves
51:48 Upcoming Launches and Market Expansion
52:44 Overcoming Industry Bottlenecks
Takeaways
Charles Stucki's journey from McKinsey to Neeve highlights the evolution of technology in real estate.
Neeve aims to simplify building automation and integrate cloud solutions into operational technology.
The platform provides secure remote access and enables data aggregation for better management.
AI is transforming how buildings operate, allowing for real-time decision-making and automation.
The secure edge model is a breakthrough in providing application-layer security for operational technology.
Client deployment is streamlined, allowing for quick setup and integration with existing systems.
Powerful use cases include energy management and predictive maintenance through data analysis.
Challenges include overcoming legacy systems and educating clients on the benefits of modern solutions.
Marketing strategies focus on clear outcomes and relatable language for non-technical decision-makers.
The industry is seeing a shift towards AI and cybersecurity as critical components of smart building technology.
Keywords
AI, smart buildings, operational technology, cybersecurity, real estate, automation, data aggregation, intelligent infrastructure, cloud solutions, remote access
Neeve.ai
Smart building AI
Operational technology platform
AI building automation
Secure Edge OT
Zero trust remote access
Real estate technology
Charles Stucki interview
AI for energy optimization
Building infrastructure automation
Proptech innovation
AI operational intelligence
Remote access without VPN
Cloud-native building systems
Predictive building maintenance
Intelligent building networks
Agentic AI in buildings
OpenAI Operator use case
Application layer security
Energy savings with AI