
Cloud · Data · AI — End-to-End Delivery
Intelligence meets
outcome.
We design, migrate, secure, and run the cloud, data, and AI platforms your business depends on — from first assessment to production, with outcomes you can measure.
What we offer
Four ways to run your workloads. One team accountable for all of them.
Choose one, or combine them. Every offering comes with the same engineering depth, the same SLAs and the same named lead.
Why ApexInfer
Infrastructure and delivery, under one roof
Most teams juggle one vendor for GPUs, another for private infrastructure, a third for public cloud and a fourth to keep it all running. We bring them together under one accountable team.
See our approachPlatform-neutral advice.
We recommend bare metal, private cloud, public cloud or a mix based on your cost, compliance and performance needs, not on what we'd rather sell.
One architecture, many environments.
Common identity, networking, monitoring and governance across dedicated and public-cloud workloads.
Engineering depth in every layer.
From GPU scheduling and inference serving to landing zones, Kubernetes and data platforms.
Operated for you.
Monitoring, patching, backups and incident response, with SLAs and clear escalation paths, wherever the workload runs.
Cloud & AI stack
We deploy where your data already lives
Multi-cloud engineering with the same rigour across AWS, Azure and GCP, plus NVIDIA GPU infrastructure and the modern data and AI services your teams rely on.
How we work with you
Built around your teams and timelines
Clear ownership, pragmatic scope, and delivery you can plan around — whether you are proving a concept or scaling in production.
Dedicated partner, not a ticket queue
You get a named lead and clear communication — weekly demos, shared docs, and decisions you can trace.
Outcomes you can measure
We align on success metrics up front — adoption, latency, cost, or revenue — and report on them as we ship.
Production-grade from day one
Security, observability, and handoff-ready code are part of the build — not a late add-on.
What we do
Services that ship
From strategy to production — we cover the full stack of cloud, data, and AI delivery, with clear owners and milestones you can plan around.
Our approach
One method, applied to the problems you actually have
Every engagement follows the same five stages. What changes is the problem we point it at.
Assess
Workshops and tooling-based discovery across workloads, costs, security, skills and constraints
You get: Current-state report and prioritised findings
Design
Target architecture, workload placement (bare metal, private or public cloud), migration waves, success metrics
You get: Architecture document, plan, milestones and named owners
Build & Migrate
Provisioning, platform build, migration in waves with testing and rollback
You get: Working environment, runbooks and handover documentation
Operate
Monitoring, incident response, patching, backups under agreed SLAs
You get: Monthly service reports against the SLAs
Optimize
Ongoing cost, performance and security reviews
You get: Quarterly optimisation roadmap
Industries
Built for teams where performance, control and compliance matter
Every engagement makes us sharper, and that expertise flows directly into your project.
Regulated workloads, modern platforms
Banks, insurers and asset managers need AI and analytics without compromising data residency or audit. 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.
Case studies
AI that ships, not AI that demos.
Free 30-min discovery call
Let'sconnect.
Tell us your challenge — we'll show you how we'd solve it, with an honest assessment and a plan you can act on.