Applied AI · Cloud · Data · Security · Software
From custom software to cloud infrastructure and applied AI, codeByte helps you turn complex challenges into systems that work. We bring development, integration and ongoing support together, so you can move forward with one technical partner.
Capabilities
Your applications, data, infrastructure and security need to work together. We design and connect these foundations around your business needs, with clear responsibility from the first technical decision to day-to-day operation.
Put AI to work where it can make a measurable difference: finding information, assisting teams and automating workflows. We build and evaluate the systems around each model so they can be used reliably in production.
Build a cloud platform your team can deploy, manage and grow with confidence. We work across AWS, Azure and GCP, using Kubernetes and infrastructure as code to keep environments consistent and repeatable.
Make your data usable across reporting, applications and AI. We build pipelines for ingestion, storage and streaming, with the quality checks needed to support dependable decisions.
Understand your risks and strengthen the systems that matter most. We review architecture, identity and access, then address practical attack paths through hardening and ongoing security reviews.
Create software around the way your business works. We develop web, mobile and back-end applications in TypeScript, Go, Python and PHP, with testing, deployment pipelines and documentation built into delivery.
Connect the tools your business relies on. We build APIs and event-driven integrations so data can move between systems and teams can spend less time on manual transfers.
Applied AI
A useful AI solution starts with a clear business problem. Together, we define the outcome, test the approach on your data and decide what is ready to move into production. Accuracy, cost and human oversight are part of that decision from the start.
We then build the integration, monitoring and fallback processes needed for day-to-day use. Your team gets a system it can understand, operate and improve as business needs change.
Before a model is chosen, we establish what a correct answer looks like and how it will be measured. Most failed AI work fails here.
A narrow prototype against real data, with an evaluation set. If the numbers do not hold, you learn that in weeks rather than quarters.
Latency budgets, cost per request, fallbacks, and a human path for the cases the model should not decide alone.
Monitoring for drift and regression, with a retraining and release process that does not require heroics.
Delivery
Work directly with the engineers responsible for your project. Our small, experienced teams keep priorities visible, explain technical choices and involve you in the decisions that shape the result.
We deliver in manageable steps, gather feedback early and document the work as it progresses. After launch, we can continue with maintenance, monitoring and support that fits your needs.
A team embedded alongside yours for a defined outcome, with code, pipelines and documentation handed over as we go — not at the end.
Managed platforms and applications with monitoring, patching and on-call. Defined response times, reported against monthly.
An architecture, security or AI-readiness review that ends in a prioritised plan you can execute with or without us.
Infrastructure
Managed cloud for most workloads — and dedicated hardware where latency, data residency or cost says otherwise. We size the platform to the problem rather than to a preferred vendor.
Markets
We support businesses across all markets, combining technical expertise with communication in French, Dutch, German, Portuguese, Italian and English. Wherever your team is based, we work with you to define a practical way forward.
Planning a new platform, improving an existing system or exploring AI? Tell us what you want to achieve. We’ll help you clarify the options and identify a sensible place to start.