No. We manage AWS, Microsoft Azure, Google Cloud (GCP), Alibaba Cloud and Tencent Cloud, and we can design multi-cloud setups. We recommend a platform based on your applications, users, budget and where your data needs to be stored, not on a single vendor.

We start with an inventory of your servers, applications and how they depend on each other, then plan the order of the move and rehearse it on a test copy. The final cutover happens in an agreed window with a rollback plan. Whether it can be done with no downtime at all depends on the application, and we tell you that up front.

We review cloud bills, software licences and tools, remove idle or oversized resources, and move steady workloads onto better pricing plans. We also set budgets and alerts so costs do not creep back, and we report the savings against your starting point.

Vulnerability scanning is an automated check that finds known weaknesses across many systems. It is quick and can run regularly. Penetration testing is done by a person, with your written permission, who tries to break in the way an attacker would and shows what the weaknesses could really lead to. Most businesses benefit from both.

A web application firewall (WAF) filters out malicious requests such as injection attacks and abusive bots. DDoS protection absorbs floods of traffic that would otherwise take your site offline. Cloudflare and Akamai both provide these at the network edge. We compare them against your traffic, applications and budget, then set up and tune whichever fits.

It covers the laptops, desktops and phones your staff use: an up-to-date device inventory, disk encryption, patching, antivirus and endpoint detection and response (EDR), access policies, device compliance checks, and remote lock or wipe for lost devices.

We help you prepare: a gap assessment, the policies and technical controls you are missing, and the evidence an auditor will ask for. Formal certification or attestation is carried out by an independent auditor, not by us.

The Model Context Protocol (MCP) is an open standard that lets AI assistants connect to your tools and data, such as databases, ticketing systems and internal apps. An MCP server exposes specific, permissioned actions to the AI instead of giving it broad access. You need one when you want AI to do real tasks with your systems, not only answer questions.

Different models are better, faster or cheaper at different jobs, and some data should not leave your own environment. We build a layer that sends each request to the right model, keeps a log, applies spending limits, and lets you change providers later without rebuilding your applications.

That depends on how AI is set up. We help you decide which data may be used with AI, choose providers and plans with suitable data-handling terms, add access controls and logging, and train staff on what not to paste into a chat. Where data is sensitive, we can keep it to private or self-hosted models.

SEO improves how your website ranks in search engines. AI marketing uses AI to produce, personalise and test content and campaigns faster, with a person reviewing the result. GEO, or generative engine optimisation, helps your brand appear in the answers that AI assistants give when people ask about your field.

Send us a short description through the contact form below. We reply with a suggested next step, usually a short call to scope the work, and then send a proposal with a fixed scope so you know what is included.