AI development and chatbots · delivered in 2-10 days
Please message before ordering so the brief and hours can be agreed. You will need to supply the domain the order relates to and a clear brief.
We build and launch working ML systems aimed at solving genuine business problems, rather than leaving prototypes unused.
Before moving into ML engineering, our lead brought 15 years of experience in creative leadership, which now shapes a commercially-minded approach: every system is built around what it needs to achieve for the business, not only around technical accuracy.
Coverage spans the whole pipeline: raw data handling and feature extraction, training and evaluation, and deployment through continuous integration on Google's cloud platform or on Hugging Face. There is no need to bring in separate specialists for each stage, as the full pipeline is delivered as one service.
Areas of focus include forecasting for business planning, computer vision and deep learning built on convolutional networks, natural language processing for text and language tasks, time-series forecasting for demand and operations, and generative AI work such as retrieval-augmented generation and LangChain-based pipelines.
Examples of completed and deployed work include a predictive-maintenance system built on autoencoders and mel spectrograms, a migraine-prediction application launched on Hugging Face, a demand-forecasting model for restaurant inventory, a plant-disease classifier using a convolutional network with a live frontend on GCP, and a homework-grading tool for the education sector.
The toolkit in use runs across Python-based libraries for modelling and data handling, together with pipeline and deployment tools for versioning, containerisation and continuous integration, taking a project from raw data through to a live, scalable system.
Pricing is charged per hour. Get in touch before ordering so the project can be scoped, the hours estimated, and the deliverables agreed, then choose the matching number of hours as quantity at checkout.
Your order opens its own thread here the moment it is paid, and everything about that order - questions, changes and the final report - happens in it.
Every project differs in its data, its business question and its expected outcome, so a short scoping chat is needed before an accurate hour estimate can be given. This keeps the order aligned to what is actually required and avoids paying for anything unnecessary.
Each package is a fixed block of hours at the stated rate. Pick the block matching your scope, and increase the quantity if more hours are needed, for example ordering two of a 5-hour block gives 10 hours in total. The exact scope and hours are agreed before the order is placed.
This is covered during scoping. If a project runs beyond the original estimate, you will be told before any extra hours are worked, so you can decide how to proceed. No time is charged without prior agreement.
Yes, the dataset or data source for the project needs to come from you. During scoping, guidance is given on data requirements, formatting and any preprocessing that may be needed before work starts.
Work is carried out mainly in Python, using standard libraries for modelling and data handling, alongside tools for experiment tracking, containerisation and automated deployment on GCP or Hugging Face. Let us know during scoping if a particular framework is required.
Yes. All source code, models and documentation produced for your project are handed over to you, free to use, modify and deploy as you wish.
Yes, existing models or codebases can be picked up, improved, retrained or moved into production. Share what already exists during the scoping conversation.
Deployed projects have covered healthcare, agriculture, food and beverage, education and industrial maintenance, though the same engineering approach applies to any sector with data and a defined business problem.
The 10 Hour Block includes post-delivery support guidance. Any ongoing maintenance or monitoring beyond that can be arranged separately during scoping.
This service suits focused, clearly defined tasks at a standard hourly rate. A separate senior-level service exists for more complex work needing deeper system design, CI/CD setup and full production deployment, priced at a higher rate to reflect that depth.
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