AI Services
AI Development
Custom AI software engineered end to end — from LLM applications and RAG pipelines to machine-learning models and computer vision — and hardened for real production traffic.
- Eval
- Tested before it ships
- MLOps
- Reproducible pipelines
- 99.9%
- Uptime target
- Guardrails
- Safe by default
Overview
From model to dependable product
AI development is far more than calling a model. It is data pipelines, retrieval, evaluation harnesses, guardrails, observability and the integration work that turns a prototype into something your business can depend on.
We build that whole system. Whether you need a custom LLM application, a fine-tuned model, a computer-vision pipeline or a classic ML predictor, we engineer it for accuracy, latency, cost and safety — with tests that prove it works.
[1]LLM applications
RAG, summarisation, extraction and classification grounded on your data.
[2]Machine learning models
Forecasting, recommendation, scoring and anomaly detection tuned to your data.
[3]Computer vision
Detection, OCR, quality control and video understanding in production pipelines.
[4]Document intelligence
Extract, validate and route unstructured documents into structured data.
[5]MLOps & pipelines
Reproducible training, deployment, versioning and rollback for every model.
[6]Evaluation & guardrails
Automated evals, PII handling and content safety baked into the build.
How we deliver
How we deliver AI development
- 01
Frame
Define the task, data, baseline and measurable success criteria.
- 02
Prototype
Prove value fast with a thin, evaluated end-to-end slice.
- 03
Harden
Add retrieval, guardrails, tests and observability.
- 04
Operate
Ship with monitoring and a plan for drift and improvement.
Tools & technologies
The technologies we build with.
A pragmatic, best-of-breed stack — chosen for accuracy, cost, security and scale.
Why CodeGenIT
Engineering you can trust
Accuracy-first
Retrieval, citations and evals keep outputs grounded and verifiable.
Production-grade
Security, latency budgets and rollback designed in from day one.
Right-sized models
We balance frontier and open models for cost and privacy.
Provable value
Every model ships with metrics that tie to business outcomes.
Client voices
Trusted to deliver outcomes.
CodeGenIT turned a months-long AI ambition into a shipped, audited system our risk team actually trusts.
The new storefront is the fastest we've ever had — and conversion jumped the week we launched.
Proof
Outcomes we’ve shipped.
FAQ
Questions, answered.
Can’t find what you need? Our team is happy to talk specifics.
What is AI development?+
AI development is the process of designing, building, evaluating and deploying AI-powered features — such as LLM apps, RAG systems and autonomous agents — into production software, including the data pipelines, prompts, guardrails and monitoring that keep them reliable.
Do you build with open-source or commercial models?+
Both — we recommend the best fit per use case and often combine them, e.g. a frontier model for reasoning and an open model for cost-sensitive paths.
Can you fine-tune a model on our data?+
Yes, when it beats prompting + RAG. We start with retrieval and reserve fine-tuning for style, format or domain gains that justify it.
How do you measure quality?+
We build an evaluation set up front and run automated evals on every change, so quality is provable, not anecdotal.
Can you take over an existing AI prototype?+
Absolutely. We audit, stabilise and productionise existing notebooks and POCs onto a maintainable foundation.
Explore related
Build your AI product with confidence
From prototype to production — we'll help you ship AI that holds up under real traffic.