Services
Platforms your engineers can build on and your business can rely on. We design and build cloud foundations, move workloads onto them, and modernize what was lifted and shifted into something that is cheaper to run and harder to break. AWS is where our delivery experience runs deepest; on Azure we bring expert-level certification and scope engagements to the depth we can stand behind.
Applications, not just the infrastructure under them. We build backend services and APIs, frontend applications, SaaS platforms, and the internal and enterprise systems a business actually runs on - lending platforms and ERPs among them - and we modernize legacy software without stopping the business that depends on it.
Most AI projects stall on the data underneath, not on the model. We build the data foundation first - ingestion, transformation, a governed analytical platform - and then put AI to work on it where it earns its place: search and retrieval, AI-assisted access to business data, and AI features inside the applications people already use. Practical engineering, not AI research and not chatbots for their own sake.
How to engage
Directly with Northkeep, or through a consultancy or integrator that owns the client relationship.
A defined outcome, delivered.
Discovery, architecture, implementation, and handover for a system you need built, modernized, or integrated - from a single platform component to a complete software product.
Fixed price or milestone-based where the scope is clear; a paid discovery phase first, or time-and-materials, where it is not.
Engineering capacity with technical leadership.
Specialist engineers, a small team, or architecture and technical leadership, working inside your project - directly for you, or behind a consultancy or integrator that owns the client relationship.
Time-and-materials or dedicated capacity, with Northkeep technical oversight. Defined work packages can be fixed price.
The system kept healthy after launch.
Business-hours maintenance, improvements, troubleshooting, software enhancements, and architecture guidance for systems already in production - ours or someone else's.
Scoped to an agreed capacity. Not a 24/7 operations desk, and no response guarantees beyond what the agreement sets out.
Not sure where to start?
When the scope is not clear enough to price an outcome, a fixed-scope assessment makes it clear. You keep the findings and the roadmap whether the next step is with Northkeep or with your own team. It is an option, not a gate - most engagements start with a conversation.
Technical assessment
Organizations running lifted-and-shifted or legacy systems that need a clear, costed view before committing to modernization or production AI.
Fixed scope, priced to your estate and requirements.
Specialist capability
DORA, NIS2, and the EU Data Act moved parts of cloud architecture from an engineering question to a supervised one. Where that applies, we design the residency, resilience, and exit architecture that answers it, and produce evidence a supervisor, auditor, or board will accept - signed by the accountable architect, not a slide deck. EU-resident delivery is available where your obligations call for it.
Regulated cloud assessment
Organizations putting regulated workloads or production AI on the cloud under European rules - European enterprises, and international companies entering the EU.
Fixed scope, priced to your estate and requirements.
Regulated cloud engagement
Regulated organizations facing DORA, the EU Data Act, or NIS2 obligations on their cloud estate.
Independence
Northkeep takes no share of your cloud spend, no resale margin, and no vendor commission. That is the structural reason a cost review, a platform choice, or an exit strategy written here is worth reading: an engineer paid to grow your cloud bill cannot honestly design your way out of one.
Stated as plainly as what is included, so nobody discovers the boundary halfway through a procurement.
Start a conversation
The problem, the constraints, and roughly when. We will tell you how we would approach it and which engagement model fits.