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Service

Deep LearningMake sense of images, text and signals.

We build vision, language and time-series models that unlock value from unstructured data, from crop photos and scanned forms to sensor streams and customer messages.

  • Vision and languageImages, documents and text
  • Runs anywhereCloud, edge or mobile
  • Local languagesEnglish, Swahili and Sheng

Our approach

A clear and structured process to deliver deep learning solutions that create value.

  1. 01 DefineWe agree the task, accuracy target and constraints.
  2. 02 CollectWe gather and label representative training data.
  3. 03 TrainWe train and tune models, often from strong base models.
  4. 04 OptimiseWe compress and test for your target device.
  5. 05 DeployWe integrate, monitor and improve with real feedback.

Unstructured data, structured answers

Most of an organisation's information sits in images, documents and messages. Deep learning turns it into data your systems and people can use.

  • Manual review cut from hours to seconds
  • Consistent results across sites and teams
  • Models that work in low-connectivity settings
  • Confidence scores that route doubtful cases to people

Tools & technologies

We work with leading platforms and choose what fits your stack, budget and skills.

  • PyTorch
  • TensorFlow
  • Hugging Face
  • OpenCV
  • ONNX
  • Python
  • Azure
  • AWS

Case study

Agriculture

Spotting crop disease from a phone photo

An agribusiness gave field officers a mobile app that identifies common tea and maize diseases from a single photo, working offline and syncing results when back in coverage.

Read full case study
94%
Detection accuracy
10x
Faster field assessments
3
Crops supported at launch

Frequently asked questions

Quick answers to common questions about our deep learning services.

More questions? Contact us
How much labelled data do we need?

Often a few hundred to a few thousand examples, because we start from pre-trained models and fine-tune them.

Can models run without internet?

Yes. We optimise models to run on phones or edge devices and sync results later.

Do you support Swahili and local languages?

Yes. We evaluate and fine-tune language models on Swahili and code-switched text.

How accurate will it be?

We agree an accuracy target up front and test on real-world data before launch, not just lab samples.

What about privacy for images and documents?

We minimise what is stored, redact personal data where possible and keep processing in your environment.

How long does a project take?

A first working model typically takes 8 to 12 weeks, including data collection and labelling.

Who maintains the model afterwards?

We can support it, or hand it over with monitoring, retraining pipelines and training for your team.

Sitting on images, documents or signals?

Let's turn unstructured data into answers.

Book a free consultation to explore what a model could do with the data you already collect.

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