Get a fully researched, trained and validated ML or computer vision model — from data preprocessing through to clean, documented source code — delivered by a specialist AI team based in London, England.
I Will Build Your Machine Learning or Computer Vision Solution
A single, well-scoped ML or CV model — researched, trained, validated and delivered with full source code.
- Research into your problem domain
- Data preprocessing and cleaning
- Model creation tailored to your use case
- Model validation and testing
- Full source code included
- 2 rounds of revisions
Everything in Starter, plus fine-tuning for improved accuracy and four rounds of revisions for a more refined result.
- Everything included in Starter
- Fine-tuning of the model for improved performance
- 4 rounds of revisions
- Suitable for moderately complex or multi-class problems
- Full source code included
- Extended 21-day delivery window for thorough iteration
The complete end-to-end solution: fine-tuned model, performance monitoring, cloud deployment, full documentation, and unlimited revisions.
- Everything included in Standard
- Performance monitoring setup
- Cloud deployment (AWS, GCP or Azure)
- Full model documentation
- Unlimited revisions
- 30-day delivery for a production-ready, fully documented solution
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Value Position
Model Coverage
Deployment Ready
Tech Stack
Upgrade Path
What You'll Receive
Full Description
If your business or research project needs a reliable, production-ready artificial intelligence solution, you are in the right place. Zinn Digital is a London, England-based team of AI specialists who design, train and validate machine learning, deep learning and computer vision models tailored to your exact problem — not off-the-shelf templates.
Whether you need to detect objects in a live video feed, classify images or audio, analyse time-series data, build a facial recognition pipeline, extract text with OCR, or deploy a large language model with retrieval-augmented generation, this listing covers the full breadth of modern applied AI.
**What is included in every package:**
Every engagement begins with dedicated research into your problem domain, followed by thorough data preprocessing to ensure your model trains on clean, well-structured inputs. From there the team handles model creation, rigorous validation and testing, and delivers full source code so you own everything that is built.
**Techniques and architectures available:**
- Object detection: YOLO v8 / v11, Faster-RCNN
- Object tracking: OC-SORT, ByteTrack, BOT-SORT, Strong-SORT
- Image segmentation: Mask-RCNN, U-NET, SAM2, Sapiens
- Image and audio classification: InceptionResnetV2, VGG, ResNet, ViT
- Pose estimation: YOLO, ViTPose
- Facial recognition: FaceNet, Dlib, DeepFace
- OCR: TesseractOCR, PaddleOCR
- Data clustering and classification: K-Means, SVM, PCA and more
- NLP: LLMs (LLaMA, GPT), RAG with LangChain
- GANs, image captioning and grounding (Florence2, LSTM)
- Embedding analysis, depth estimation, inpainting (LaMa, MIGAN)
- Image preprocessing: OpenCV, CNN
- Time-series analysis and forecasting: Transformers, RNN, LSTM
- Edge-device deployment: Jetson, Raspberry Pi, NCS
**Technology stack:**
PyTorch, TensorFlow, Keras, scikit-learn, Docker, AWS, GCP, Azure, Chroma, Pinecone, MySQL, MongoDB, PostgreSQL, Jupyter Notebook, Colab, Flask.
**How it works:**
After placing your order, share your project brief and any existing data via the order chat. The team will confirm scope and get to work immediately. All communication happens through the platform. Please reach out before ordering if you have a particularly complex or custom brief — the team is happy to discuss your requirements first.
**Who is this for:**
Startups integrating AI into their product, researchers needing a trained and tested model, enterprises automating vision or language workflows, and developers who want clean, well-validated code they can build on.
**Why Zinn Digital:**
A dedicated London-based team covering the full modern AI stack — from classical machine learning through to the latest vision-language models — with every package including source code and genuine validation, not just a notebook that runs once.
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Compare Packages
| Feature | Starter | Standard | Full Build |
|---|---|---|---|
| Delivery Time | 14 days | 21 days | 30 days |
| Revisions | 2 | 4 | unlimited |
| Research into your problem domain | ✓ | ✕ | ✕ |
| Data preprocessing and cleaning | ✓ | ✕ | ✕ |
| Model creation tailored to your use case | ✓ | ✕ | ✕ |
| Model validation and testing | ✓ | ✕ | ✕ |
| Full source code included | ✓ | ✓ | ✕ |
| 2 rounds of revisions | ✓ | ✕ | ✕ |
| Everything included in Starter | ✕ | ✓ | ✕ |
| Fine-tuning of the model for improved performance | ✕ | ✓ | ✕ |
| 4 rounds of revisions | ✕ | ✓ | ✕ |
| Suitable for moderately complex or multi-class problems | ✕ | ✓ | ✕ |
| Extended 21-day delivery window for thorough iteration | ✕ | ✓ | ✕ |
| Everything included in Standard | ✕ | ✕ | ✓ |
| Performance monitoring setup | ✕ | ✕ | ✓ |
| Cloud deployment (AWS, GCP or Azure) | ✕ | ✕ | ✓ |
| Full model documentation | ✕ | ✕ | ✓ |
| Unlimited revisions | ✕ | ✕ | ✓ |
| 30-day delivery for a production-ready, fully documented solution | ✕ | ✕ | ✓ |
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Build Your Machine Learning or Computer Vision Solution


Build Your Machine Learning or Computer Vision Solution

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Frequently Asked Questions
Yes, for anything beyond a straightforward model training task the team strongly recommends a brief chat via the order message system before you purchase. This ensures the correct package is selected and that scope, data availability and timelines are all agreed upfront.
You will need to supply the dataset you want the model trained on, or clearly describe where the data is coming from. The team handles preprocessing, but raw data (images, CSV files, audio, text corpora, etc.) must be provided by you. If your data is very limited, mention this before ordering so the team can advise on feasibility.
You receive full source code (Python scripts or Jupyter notebooks), the trained model weights, and — on the Full Build package — comprehensive documentation. Everything is delivered via the order manager so you have a permanent record.
Starter suits well-defined, single-task problems where you primarily need a trained and validated model. Standard adds fine-tuning, which is valuable when baseline accuracy needs pushing further. Full Build is for projects that need to run in production — with cloud deployment, monitoring and thorough documentation included.
Yes. Edge-device deployment for platforms including Jetson, Raspberry Pi and NCS is within scope. Please discuss your hardware target in the pre-order chat so the correct optimisation approach can be planned.
The team works primarily with PyTorch, TensorFlow, Keras and scikit-learn. Cloud deployment is available on AWS, GCP and Azure. Containerisation is handled via Docker where appropriate.
Each package includes a set number of revision rounds (2 for Starter, 4 for Standard, unlimited for Full Build). A revision covers adjustments to the delivered model or code based on your feedback. Significant scope changes may require a separate order — the team will advise clearly.
Yes. Alongside computer vision, the team builds NLP solutions including LLM integrations (LLaMA, GPT), retrieval-augmented generation with LangChain, text classification, time-series forecasting and more. Describe your use case before ordering to confirm fit.
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