Cruzata
AI & Data

AI & Machine Learning Development Services

We apply language models and machine learning to real business problems, and engineer them to run reliably in production.

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AI and ML capabilities

LLM applications

Assistants, copilots and summarisation with OpenAI, Claude and open models.

Retrieval (RAG)

Embeddings and vector search that ground answers in your data.

Predictive models

Forecasting, scoring and recommendation with scikit-learn and PyTorch.

Computer vision

Detection, classification and OCR.

NLP

Classification, extraction and sentiment.

MLOps

Pipelines, registries, monitoring and retraining.

Which AI approach fits the problem

Best forNeeds
Rules / automation Predictable, well-defined tasksClear logic
Classic machine learning Prediction from structured dataHistorical labelled data
Large language models Language, documents and reasoningGood prompts, retrieval, evaluation
Computer vision Images and videoRepresentative image data

From idea to production AI

  1. 1

    Frame

    Define the decision or task and how success is measured.

  2. 2

    Data

    Assess, clean and secure the data.

  3. 3

    Prototype

    Build and evaluate quickly.

  4. 4

    Deploy

    Integrate with security and monitoring.

  5. 5

    Improve

    Track quality, cost and drift.

AI and ML technology stack

Models

  • OpenAI GPT
  • Anthropic Claude
  • Google Gemini
  • Llama
  • Mistral
  • Whisper

Frameworks

  • Python
  • PyTorch
  • TensorFlow
  • scikit-learn
  • Hugging Face
  • LangChain
  • LlamaIndex

Platform

  • pgvector
  • Pinecone
  • MLflow
  • Airflow
  • AWS SageMaker
  • Azure AI
  • Docker

Related solutions

Outcomes we deliver with this.

Services we provide

Engineering and design capabilities behind it.

Industries we serve

Typical sectors where we deliver this.

Hire specialists

Add engineers who work in this space.

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Cloud

We design and run cloud platforms that are secure, resilient and cost-aware, on whichever provider suits your workload.

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FAQ

AI & Machine Learning: frequently asked questions

AI is the broad field of making machines perform tasks that need intelligence. Machine learning is a subset where systems learn patterns from data. Language models are a modern, powerful form of machine learning.

Not always. Language models can work with your documents through retrieval, while predictive models need historical data.

It depends on quality, cost, latency and data policy. We keep architectures model-agnostic.

Through evaluation sets, guardrails, human review where needed and monitoring in production.

Start your ai & machine learning project

Tell us what you are planning. We will reply within one working day with questions or a clear next step.