AI Collaboration Columbia's AI initiatives signal growing demand for AI and ML infrastructure in research. The group already uses scikit-learn, suggesting readiness to scale with managed ML platforms, GPU compute, and model deployment workflows. A partnership could support grant funded research and reduce onboarding friction for a small team.

Security Needs Operating in a university environment with NTLM and Intune indicates priorities around identity, device management, and data protection. Potential solutions include IAM, secure collaboration, device encryption, and data loss prevention to protect research IP and comply with campus policies. A security focused offering could appeal to a small research group seeking practical coverage.

Open Source Data The group relies on WordPress and Zotero, signaling openness to open source tooling and research data management. Opportunities exist to assist with CMS enhancements, Zotero integrations, data repositories, and bibliographic workflows to improve dissemination and collaboration.

Collaboration Tools The presence of workflow automation with K2 suggests a need for streamlined project tracking and process automation. Propose managed implementations and integrations with existing tools to boost productivity for a 2 to 10 person team and shorten procurement cycles.

HPC Cloud Interest in performance oriented networking tools like HAProxy and network analysis with Wireshark points to demand for scalable compute and reliable data pipelines. Opportunities exist for cloud HPC or GPU resources, data transfer optimization, and observability tooling to accelerate research workloads.