5 US Startup and Tech Events to Attend in September 2026
Discover five major U.S. startup and tech events in September 2026 covering AI, fintech, enterprise software, climate tech, and networking opportunities.
Latest articles
AI
VC
1 min
Sona Raises $45M to Expand AI Workforce Management Platform
Sona secured $45M Series B to expand its AI platform for forecasting, scheduling and optimizing frontline workforce operations.
Health
VC
1 min
Semarion Raises $3.8M to Scale SemaCyte Drug Discovery Platform
Semarion secured $3.8M to scale its SemaCyte platform for automated, data-rich cell-based drug discovery workflows.
AI
VC
1 min
Alice & Bob Secures $3.9M to Develop Quantum Algorithms for Magnet Discovery
Alice & Bob received $3.9M to develop quantum algorithms for faster discovery of rare-earth-free magnets for energy technologies.
AI
VC
1 min
Nomadic Raises $8.4M to Build Intelligence Layer for Physical AI Systems
Nomadic secured $8.4M to develop an AI platform that turns video and sensor data into actionable insights for robotics and autonomy teams.
AI
VC
1 min
Sycamore Raises $65M to Build Operating System for Enterprise AI Agents
Sycamore secured $65M seed funding to develop an operating system for deploying secure, autonomous AI agents in enterprises.
AI
Growth
1 min
ICS.AI Launches AI Accelerator to Help Councils Meet 2028 Reorganisation Deadline
ICS.AI introduced an AI accelerator to help UK councils merge systems, reduce costs and meet the 2028 reorganisation deadline faster.
Startups
VC
1 min
TerraSpark Raises €5M to Develop Space-Based Solar Power Infrastructure
TerraSpark secured €5M pre-seed funding to develop space-based solar energy and pilot wireless power transmission technologies.
AI
VC
1 min
Nature Robots Raises €4M to Scale AI Autonomy Software for Agriculture
Nature Robots secured €4M seed funding to expand AI autonomy software for agricultural machinery and accelerate sustainable farming automation.
AI
Startups
3 min
Fuzz Testing in the Age of AI: How Startups Find Bugs Faster
Fuzz testing helps teams find hidden bugs in AI-generated code faster, improving reliability without slowing development.