Industries
Education & Research
Learning platforms, research computing and GPU clusters, campus networks, identity and cybersecurity for universities, schools and research institutes.
Who we serve
A campus network and a research lab, under one roof.
Chief information officers and research computing directors in education run two very different environments at once: a campus network and learning platform serving thousands reliably, and a research computing environment that increasingly needs GPU capacity rivaling a commercial AI lab.
Learning management systems, student portals and administrative platforms need to integrate with each other and with the identity systems that govern who can access what. Our Software Engineering practice builds these integrations, and our Cybersecurity practice applies zero-trust access principles across a population that is far larger and more transient than a typical enterprise workforce.
Research groups are under pressure to run larger models and larger simulations without the dedicated infrastructure budget of a commercial lab. Our AI Infrastructure & LLMOps practice designs and operates GPU cluster and research computing environments, including multi-tenant scheduling and quotas so departments can share capacity fairly.
Where grant terms, ethics approvals or institutional policy restrict where research data can live, our Cloud & Infrastructure practice delivers that research computing environment on-premises or in a private cloud, keeping data inside institutional boundaries without starving research teams of compute.
Campus networks are also attractive, high-volume targets for ransomware and credential attacks. Our Cybersecurity practice runs network security, identity hardening and incident response programs sized to an institution's budget and risk profile, from a single school to a multi-campus university system.
What we deliver
Capability depth across the learning platform, the research cluster and the network between them.
What matters depends on your seat
Three education leaders, three different starting questions.
You are responsible for a network and identity system serving a population larger and more transient than most enterprises, plus every department's point solution wanting to integrate. We prioritize zero-trust identity and integration work against the systems with the widest blast radius first.
You are asked to support larger models and larger simulations without a commercial lab's budget. We design GPU cluster environments with multi-tenant scheduling and quotas, so capacity is shared fairly across departments instead of monopolized by whoever asks first.
You are managing student and staff devices, a learning platform and increasing ransomware pressure with a smaller team and a tighter budget than a university. We size network security, identity hardening and incident response programs to that reality rather than a university-scale template.
Related reading
Where to go next for security, AI and engineering depth.
Service
AI Infrastructure & LLMOps
GPU cluster engineering and research computing environments sized to your institution.
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Cybersecurity
Network security and identity hardening for campus-scale populations.
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Running LLMs on-premises: a reference architecture for regulated organizations
Hardware sizing and serving-layer design relevant to institutional GPU clusters and research computing.
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