We build machine learning models, automate repetitive workflows, and help Manchester businesses make better decisions with their own data. No hype, just measurable results.
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Top AI Haven started in 2019 as a two-person consultancy focused on natural language processing for legal firms. Since then the team has grown to twelve engineers, data scientists and project managers based in Manchester.
We work mostly with mid-size companies that have plenty of data but no internal AI team. Typical clients include logistics operators, e-commerce retailers, healthcare providers and financial services firms across the North West.
Our approach is simple: we spend the first two weeks understanding your data and your actual bottleneck before writing a single line of model code. That discovery phase prevents the most common failure mode in AI projects, which is building something technically impressive that nobody uses.
Every model we deliver comes with monitoring dashboards, retraining pipelines and documentation your own developers can maintain. We want you to stop needing us eventually.
Six core service areas, each tailored to the size of your dataset and the complexity of your problem.
We train supervised and unsupervised models on your proprietary data. Classification, regression, clustering, anomaly detection: the architecture follows the problem, not the other way around. Typical turnaround from kickoff to production-ready model is six to ten weeks.
Chatbots, document summarisation, sentiment analysis and entity extraction. We fine-tune large language models on domain-specific corpora so they understand your industry vocabulary instead of producing generic responses.
Object detection, image classification and video analytics for quality control, security and retail analytics. We deploy models on edge devices when latency matters, or in the cloud when throughput is the priority.
Demand forecasting, churn prediction, lead scoring and price optimisation. We connect models directly to your CRM or ERP through REST APIs so predictions feed into the tools your team already uses every morning.
Before any model can work, your data pipeline needs to be clean, consistent and accessible. We audit your existing infrastructure, design schemas, set up ETL workflows and train your staff on data governance practices.
We help you document model decisions for regulatory audits, implement bias testing and build explainability layers. Particularly relevant for financial services and healthcare clients subject to FCA or CQC oversight.
Four phases, clear milestones, no surprises on the invoice.
We interview stakeholders, access your data sources and define success metrics. This takes one to two weeks and ends with a written scope document you approve before any development begins.
Our engineers build a minimum viable model and test it against a hold-out dataset. You see accuracy, recall and precision numbers within three weeks, not vague promises.
We containerise the model, set up CI/CD pipelines, connect it to your systems via API and run load tests. Deployment typically happens on your existing cloud provider.
After launch we track model drift, data quality and prediction latency. Monthly reports show performance trends, and we retrain the model when accuracy drops below the agreed threshold.
Honest answers to the things clients ask us most often.
Tell us about your project and we will reply within one business day.
47 Bridgewater Lane, Manchester, M1 5AN, Greater Manchester, United Kingdom
Office hours: Monday to Friday, 9:00 am to 5:30 pm GMT. We aim to respond to enquiries within 24 hours.