Func Ventures

🎉 Func Ventures has made its 10th investment — and it's a milestone worth celebrating. Since 2022, we've been scouring Asia-Pacific for the best software building blocks of the AI era. Using our SUPERIOR due diligence framework, we've had the privilege of backing some of the most exceptional founders I've encountered in 20+ years in enterprise software. Investment #10 is Support Fusion — and we couldn't be more excited to back founders Greg and Stephen. Here's the problem they're solving: MSPs (Managed Service Providers) are sitting on a growth opportunity that legacy infrastructure is actively blocking. Integrating ageing ticketing systems into complex, multi-source service contracts is one of the most stubborn friction points in the industry — and it has quietly been a ceiling on new business expansion for years. Support Fusion removes that ceiling. As enterprise AI initiatives accelerate, the demand for multi-source MSP contracts is surging. Companies want flexible, AI-ready service models, and they need their MSP partners to deliver them. Support Fusion's platform makes that possible, turning what was once a blocker into a competitive advantage. Greg and Steve bring exactly the kind of domain depth and founder conviction that our S lens (Solve a Difficult Problem) was designed to identify. They've lived this problem. They've built the solution. And the market timing couldn't be sharper. 10 investments. 3 years. The best is yet to come. 🚀 Welcome to the Func Ventures family, Support Fusion. Read the press release here: https://lnkd.in/g-nJdbY9 #FuncVentures #VentureCapital #EnterpriseAI #MSP #SupportFusion #EarlyStage Greg Rudakov Stephen Rudakov

I started investing into API-First companies in 2019 and started my API-First fund Func Ventures in 2022. So fund 2 is now in the planning stages and I am sticking to my “deep and narrow” thesis. I asked Gemini this question … thoughts? “Can API companies move up the stack into agentic ai?” API companies are well-positioned to move into the agentic AI space due to their existing infrastructure and expertise in handling data and integrations. Agentic AI refers to AI systems that can operate autonomously, make decisions, and take actions to achieve specific goals. APIs are crucial for agentic AI as they enable agents to interact with various tools, data sources, and other systems. API companies have the necessary infrastructure, such as API gateways and management systems, to support the communication and data exchange required by agentic AI. They also possess expertise in building and managing integrations, which is essential for enabling agents to interact with different services and platforms. Furthermore, many API companies are already working with AI and machine learning technologies, giving them a head start in developing agentic AI capabilities. Moving into agentic AI can provide API companies with new revenue streams and growth opportunities. They can offer agentic AI solutions to businesses looking to automate complex tasks, improve decision-making, and enhance customer experiences. Additionally, API companies can leverage agentic AI to improve their own operations, such as automating API management and monitoring. However, moving into agentic AI also presents challenges for API companies. It requires a shift in mindset from providing tools for developers to building autonomous systems that can operate independently. It also demands expertise in areas such as AI planning, reasoning, and decision-making. Furthermore, API companies need to address concerns related to security, privacy, and ethical considerations when deploying agentic AI systems. Despite these challenges, the potential benefits of moving into agentic AI are significant. API companies that can successfully navigate this transition will be well-positioned to capitalize on the growing demand for intelligent automation and AI-powered solutions. #agenticAI #APIfirst #vc