ApexInfer
Where Intelligence Meets Outcome

Industries

Where we go deep

The sectors we're focused on, and how our four offerings come together for each.

Financial services — Regulated workloads, modern platforms

Banks, insurers and asset managers need AI and analytics without compromising data residency or audit.

How we help: Private cloud and bare metal for sensitive data and models, public cloud for elastic analytics, and managed services with compliance built in. We build RAG systems for compliance, copilots for research analysts and document workflows for back-office teams, with humans in the loop where it matters.

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Healthcare — Secure infrastructure, workflow AI

Documentation, prior auth and patient communications wear clinicians down, and patient data must stay protected.

How we help: Private cloud for clinical data, public cloud for patient-facing apps, GPU infrastructure for clinical AI, all operated under HIPAA-aligned controls. We build AI that fits into existing workflows rather than replacing them.

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B2B SaaS — Scale, AI features and unit economics

SaaS teams need to ship AI features their customers actually use while keeping cloud margins healthy.

How we help: Public cloud architecture and FinOps for the core product, bare metal GPU for inference at predictable cost, and managed services so engineers stay on the roadmap.

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Enterprise — Hybrid estates, modernised

Large organisations run a mix of data centres, VMware and multiple clouds.

How we help: Private cloud as a VMware landing zone, public cloud migration and modernisation, GPU capacity for internal AI, and one managed-services team across the whole estate.

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AI-native companies — Compute and operations that keep up

Model builders and AI product teams need the right GPUs and the platform around them.

How we help: Bare metal GPU (B300, H200, RTX PRO 6000, L40S) for training and inference, public cloud for burst and managed AI services, and managed MLOps and GPU operations.

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