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AI & Machine Learning

Custom AI solutions that think, learn, and adapt for your business

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Overview

We build AI systems that go beyond basic automation. From fine-tuned language models to computer vision pipelines, our solutions are designed for production — not demos. We use Claude, GPT, and custom-trained models to solve real business problems at enterprise scale. We also ship our own AI-native product, SparkVibe (vibe.codes-ai.uk) — a vibe engineering studio for Claude & Cursor — built end-to-end with this same approach.

Benefits

  • 40% reduction in development time with AI-assisted coding
  • 99.9% accuracy on data processing pipelines
  • Custom models trained on your proprietary data
  • Production-ready MLOps with monitoring and retraining
  • Natural language interfaces for non-technical users
  • Seamless integration with existing workflows

How it runs

How we deliver.

  1. 01DiscoveryWe analyse your data, workflows, and bottlenecks to identify high-impact AI opportunities.
  2. 02Model DesignArchitecture selection — fine-tuning vs RAG vs custom training — based on your data and budget.
  3. 03DevelopmentIterative model development with continuous evaluation against your real-world test cases.
  4. 04IntegrationAPI deployment, monitoring dashboards, and seamless integration into your tech stack.
  5. 05OptimiseContinuous improvement — model retraining, performance tuning, and cost optimization.

Stack

LLMs & APIs

Claude (Anthropic)GPT-4Local LLMsHugging FaceLangChainRAG Pipelines

ML Frameworks

PyTorchTensorFlowscikit-learnXGBoostMLflowWeights & Biases

Infrastructure

Azure ML StudioAWS SageMakerDatabricks MLDockerKubernetesFastAPI

Results

40% faster development

AI-Assisted Development Framework

Built a local LLM-powered system that automates data warehouse design, ETL pipeline generation, and cloud infrastructure code.

70% ticket deflection

Intelligent Customer Support

RAG-based chatbot trained on 50K+ support tickets, resolving 70% of queries without human intervention.

99.9% data accuracy

Predictive Maintenance System

ML pipeline processing billions of IoT sensor readings to predict equipment failures 48 hours in advance.

Questions

Asked often.

Both. We evaluate your needs — sometimes a fine-tuned Claude or GPT is perfect, other times a custom-trained model on your data delivers better results. We always choose the most cost-effective approach.

Ready for AI & Machine Learning?

We reply within a day.

info@codes-ai.uk