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Zwicky Technology

Custom AI Solutions

AI built for your problem, not a demo.

Models and AI systems built for your data, your constraints and your risk profile.

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Overview

What we deliver

Some problems need more than an API call: a fine-tuned model, a computer vision pipeline, a forecasting engine or a private deployment that keeps data on your infrastructure. We take AI from strategy to production, starting with an honest assessment of where it will create value and where it won't.

  • AI opportunity assessment and business case
  • Data preparation and labelling pipeline
  • Trained and evaluated models
  • Production inference service with monitoring
  • Model cards and governance documentation
  • Retraining and drift-detection plan

Capabilities

How we can help

  • LLM fine-tuning & integration

    Adapt language models to your domain, tone and formats.

  • Computer vision

    Detection, classification and inspection from images and video.

  • NLP

    Classification, extraction, summarisation and search across text.

  • Recommendations & forecasting

    Models that predict demand and personalise experiences.

  • Private & on-prem AI

    Open-weight models deployed inside your own cloud or data centre.

  • AI strategy & audits

    Opportunity mapping, risk review and a practical adoption roadmap.

Process

How an engagement runs

  1. 1

    Assess

    Score use cases on value, feasibility and data readiness.

  2. 2

    Prove

    A focused proof of concept measured against a baseline.

  3. 3

    Productionise

    Robust pipelines, serving infrastructure and monitoring.

  4. 4

    Govern

    Drift detection, retraining and responsible-AI controls.

Use cases

Where this makes a difference

  • Use case 01

    Visual quality control

    Detect defects on a production line in real time.

  • Use case 02

    Private assistant

    An internal assistant on open-weight models that never sends data outside your network.

  • Use case 03

    Demand forecasting

    Forecast weekly demand per SKU to optimise purchasing.

Typical technology

  • Python
  • PyTorch
  • Hugging Face
  • vLLM
  • OpenCV
  • scikit-learn
  • MLflow
  • Ray
  • AWS SageMaker
  • Azure ML

Related work

See it in practice

Specialty retail chainSample

Demand forecasting across 140 stores

Read case study

FAQ

Custom AI: common questions

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or email info@zwickytechnology.com