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AI & ML / AI / ML DevelopmentAI practice since 2018
PreparedTrainedServed

From training run to serving endpoint.

Artificial intelligence is not about hype, it is about a model that runs in production. We design and deploy AI and ML systems along one disciplined path, from data preparation through a training run to packaging and a served endpoint, with MLOps built in. AI without operational discipline fails, so we engineer it for longevity.

Data prepTrainingPackagingServingMLOpsMonitoring
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Brands we have shapedCAINDEZBAK30 international design awards
AI / ML developmentPipeline · v1
One pipelinePrepare · Train · Package · Serve
Brands we have shaped
Crispy AsianInsperaDeylarZubyArzu KaprolWhite Istanbul Photography
What AI / ML development covers

Shipped, not notebooked.

A model that stays in a notebook creates no value. We treat development as a production path, data pipelines, a training run, a packaged model and a serving endpoint, with monitoring and retraining designed in, so intelligence runs and keeps running rather than stalling as a proof of concept.

  • 01 · PrepareThe base

    Data preparation and pipelines

    Clean, scalable pipelines and prepared data come first, because a model is only as strong as the data feeding the training run.

    What you get
    • Data pipelines
    • Preparation
    • Feature stores
    • DataOps
  • 02 · TrainThe build

    Model development and training

    Domain-specific models built and trained for the problem, from predictive to generative systems, engineered for scale and performance rather than novelty.

    What you get
    • Model development
    • Training
    • Predictive
    • Generative
  • 03 · PackageThe handoff

    Architecture and MLOps

    Containerisation, API design and CI/CD package the model for deployment, so what leaves the lab is production-ready rather than a prototype.

    What you get
    • Containers
    • API design
    • CI/CD
    • Architecture
  • 04 · ServeBuilt to last

    Serving and lifecycle

    A served endpoint with drift detection, monitoring and retraining keeps the model live and accountable, so performance holds as the world changes.

    What you get
    • Serving endpoint
    • Drift detection
    • Monitoring
    • Retraining
The build path, on one page

Prepare, train, serve.

Data preparation, a training run, a packaged model and a serving endpoint are defined as one path, so a model moves from build to production instead of ending at a notebook cell.

Training and delivery
DataPrepare
TrainingFit
ServingDeploy
Pipeline
preparetraindeploy
Build to serve
Build to serve · data, training, servingCreatives Data · product team
How we work

How we build and ship models.

A path from data preparation to a live serving endpoint, so a model reaches production governed and monitored rather than left as an experiment.

  • 1

    Data preparation

    Clean pipelines and prepared data ready for training.

    Prepared
  • 2

    Training run

    Models built and trained for the problem and for scale.

    Trained
  • 3

    Package

    Containerised, API-wrapped and put through CI/CD.

    Packaged
  • 4

    Serve and monitor

    A served endpoint with drift detection and retraining.

    Served
What we build

Build, stage by stage.

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  • Data pipelines

    Data pipelines

    Clean, scalable pipelines that feed the training run.

    Data prepPipelines
  • Trained model

    Trained model

    A model built and trained for the problem and for scale.

    TrainingModels
  • Packaged service

    Packaged service

    Containerised and API-wrapped through CI/CD.

    PackagingMLOps
  • Serving endpoint

    Serving endpoint

    A live endpoint with drift detection and retraining.

    ServingMonitoring
Recognition

Work that gets noticed.

  • Awards
    30

    International design awards

    Including Communicator, Davey, W3 Gold and Silver, Horizon and London Design Awards.

  • Scope
    End to end

    Data to endpoint

    Preparation, training, packaging and serving, delivered by one team.

  • Approach
    Production first

    Engineered

    We build models that ship and serve, not prototypes that sit in notebooks.

A model that does not serve serves no one.

Creatives Data · AI team
Related services

Where development goes next.

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Pick a way to begin

Three ways to start.

Let us take your model from training run to production.

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