5 IT Funding Deals to Watch

Why It Matters

These investments signal that capital is flowing toward novel AI infrastructure—space‑based, ocean‑based, and open‑source—indicating where the next performance and cost advantages will emerge, while the security funding underscores rising concerns over AI‑driven attacks.

Key Takeaways

• SoftBank invests $450M in Graphcore, signaling consolidation of AI chip market
• Cowboy Space's $275M Series B funds orbital AI data centers
• Panthalassa raises $140M to deploy wave‑powered offshore AI compute nodes
• Exaforce secures $125M to build agentic security operations for AI threats
• RadixArk's $100M seed backs open‑source SGLang platform for frontier model inference

Pulse Analysis

The AI boom is stretching traditional data‑center economics, prompting investors to fund compute in places where power and cooling are abundant. Cowboy Space’s $275 million Series B targets low‑Earth‑orbit servers, a bold answer to terrestrial grid limits, while Panthalassa’s $140 million raise backs wave‑powered offshore pods that turn the ocean into a natural data‑center. Both approaches treat compute as a physics problem, betting that proximity to limitless energy will lower latency and operating costs for next‑gen models.

At the hardware level, SoftBank’s $450 million infusion into Graphcore underscores the rapid consolidation of the AI‑accelerator market. With Nvidia entrenched as the de‑facto leader, only firms with deep pockets can sustain the massive R&D and fab investments required to compete. Graphcore’s progress signals that enterprise buyers now have a viable, sovereign‑scale alternative, potentially diversifying supply chains and fostering innovation in chip architectures tailored for inference and training workloads.

Security and software layers are evolving in parallel. Exaforce’s $125 million round reflects mounting anxiety over AI‑generated threats that outpace traditional SIEM and SOAR tools, driving demand for autonomous, agentic security operations. Simultaneously, RadixArk’s $100 million seed validates the commercial viability of open‑source inference engines like SGLang, which are already embedded in the stacks of Google, Microsoft, and xAI. By turning research‑grade code into a managed service, RadixArk lowers barriers for enterprises to deploy frontier models, accelerating AI adoption across industries.