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AI & ML Engineering Studio
· Location
Based in the EU
· Engagements
Engagements from €40k
· Availability
Booking Q3 2026

Production-grade AI for the systems that already exist.

WebDesire designs and ships machine-learning platforms for e-commerce and medicine — recommendation pipelines, demand forecasting, clinical decision-support, and multi-model LLM orchestration.

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What we build

Four practices. One delivery model.

We architect, ship, and operate AI systems for two domains where the cost of being wrong is real.

  • 01 / Commerce

    AI for e-commerce

    Recommendation, demand forecasting, semantic search, and personalisation pipelines that keep up with your catalogue and your margins.

  • 02 / Medicine

    Clinical decision-support

    ML pipelines built for clinical evidentiary standards — interpretable, auditable, and integrated with how clinicians already work.

  • 03 / Orchestration

    LLM orchestration

    Multi-model orchestration across Claude, GPT, and Gemini behind a unified Kosong abstraction, with Pydantic-validated schemas end to end.

  • 04 / Models

    Custom vision & voice

    PyTorch models for image, video, and voice — text-to-speech, speech-to-text, image-to-image, video-to-video, voice-to-voice.

Stack

The toolset we standardise on.

Opinionated where it matters; pragmatic everywhere else. We pick libraries we would be happy to operate at three in the morning.

· Languages
TypeScriptPython
· Validation
Pydantic
· LLMs
ClaudeGPTGeminiKosong
· Orchestration
LangChainLangGraphLlamaIndexDSPyTemporal
· Modelling
PyTorch
· Web
ReactNext.jsNode.js
· Cloud & data
AWSPostgreSQL
· Modalities
text-to-speechspeech-to-textimage-to-texttext-to-imageimage-to-imagevideo-to-videovoice-to-voice
How we work

We ship to production. Notebooks are not products.

  • We measure before we build. A baseline you cannot beat is a project you should not start.

  • We orchestrate models, not vendors. Claude, GPT, Gemini — picked per task, behind one interface.

  • We respect legacy. Most of the value lives in systems that already exist.

  • We operate what we deliver. Drift monitoring and retraining are part of the brief, not an afterthought.

Next step

Tell us what you are building.

Describe the system you have and the system you need. We read every inquiry.

Start an inquiry