# thesis

def thesis():

return "Enterprise AI adoption will only scale as fast as the infrastructure allows."

# Focus Areas: compute, memory, storage, orchestration, security, data or dev tooling
# Goal: make AI practical + cost-effective in production

The AI hype cycle will come and go, but the winners will be the builders solving unglamorous problems in latency, reliability, scalability, interoperability and trust.

We invest in technical founders who see around corners — engineers who’ve wrestled with these bottlenecks firsthand and are obsessed with removing them. We’re not here to micromanage your roadmap or chase vanity trends. Our value comes from decades of operating and investing in AI/enterprise infra, a deep first-degree network in the industry and the ability to open doors to customers, talent and capital when it matters most to _you_.

# If you're building the rails for the next era of AI:
conversation.start()