Machine Learning Development
Machine Learning Development Services
Turn your business data into predictions, demand forecasts, lead scores, churn alerts and recommendations, built into your apps and dashboards.
Get a free AI consultation →- 12+ years in software
- 100+ projects delivered
- ★ 4.9 on Google (119 reviews)
- Your data stays private
What we build
Demand & sales forecasting
Plan stock, staff and budgets with data-driven forecasts.
Lead & credit scoring
Prioritise the leads and customers most likely to convert or pay.
Churn & anomaly detection
Spot customers at risk and unusual transactions early.
Recommendations
Suggest the right products and content to each user.
How we deliver AI projects
Discover
Pick the use case with the best return and check your data.
Prototype
A quick proof of concept on your real data to validate results.
Build & integrate
Production-ready AI inside your app, website or systems.
Monitor & improve
Track accuracy and cost, and keep improving over time.
Technologies we use
- Python, Pandas & NumPy
- scikit-learn & XGBoost
- PyTorch & TensorFlow
- Time-series forecasting
- MLOps & model monitoring
- APIs for apps & dashboards
- PostgreSQL & data warehouses
- AWS SageMaker & cloud
Responsible, secure AI
Your data stays yours. We use providers and settings that do not train on your data, add access controls and audit logs, and keep a human in the loop for important decisions.
Why iTech Solutions?
years building software
projects delivered
119 Google reviews
SaaS products we run
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Frequently asked questions
What data do we need for machine learning?
Usually historical business data such as sales, transactions or user activity. We review your data first and tell you what is possible.
How do we use the predictions?
We deliver them inside your app, dashboard or reports, or through an API your systems can call.
Do models need maintenance?
Yes. We monitor accuracy and retrain models as your data changes.
Get a free AI consultation
Tell us about your idea or problem. We reply within one business day with suggested next steps and an estimate.