Turn documents, speech, images and business data into useful tools. We scope, prototype and evaluate AI and machine learning solutions around a clear business need.
Extract fields from invoices, organise forms or classify incoming documents, with uncertain results sent for review.
Speech & language
Explore transcription, searchable audio and language tools. Evaluate the languages, accents and recordings your team actually uses.
Computer vision
Prototype image classification, object detection or visual inspection using representative examples from your process.
Forecasting
Use suitable historical data to explore demand, stock or workload forecasts. Compare predictions with a simple baseline.
Recommendations
Help people find relevant products, content or next actions using the information you have permission to use.
Knowledge assistants
Build search and question-answering around approved business documents, with source references and access permissions.
These are possible project directions. The right approach depends on your data, workflow and evaluation results.
FROM QUESTION TO WORKING PILOT
Evidence before expansion.
01
Review the starting point
Define the task, data permissions, quality, privacy needs and what a useful result would look like.
02
Build a focused prototype
Choose an appropriate existing model, API or custom approach and test one bounded workflow.
03
Evaluate real examples
Measure agreed quality, response time and cost. Review failure cases before deciding what to deploy.
04
Connect, monitor & hand over
Integrate approved workflows, add human review and monitoring, and document how the team runs the system.
BEFORE WE START
A few practical questions.
Do we need a large dataset?+
Not always. Some projects can use existing models and a small set of approved documents or examples. Others need substantial labelled data. We assess this before proposing a build.
Can a solution work locally or offline?+
Where the task, model and hardware allow it. We compare local and cloud options for privacy, quality, speed and running cost before choosing the deployment approach.
How is quality agreed?+
We define representative test examples and acceptance criteria with you. Accuracy is measured for your task; we do not promise a fixed result before evaluation. Data preparation, hosting and ongoing support are scoped separately.
YOUR NEXT STEP
What would make your work easier?
Tell us about the task, the information you have and the result you need. We’ll help define a sensible first pilot.
