The services we provide
Discovery and value-mapping: We start by understanding the process, systems and data available. That early work identifies where automation or ML will reduce cost, time or error.
Solution design: We propose a minimal, deliverable-focused plan — what to automate, which AI models (if any) to use, the integration points and how success will be measured.
Data readiness and preparation: Collecting and cleaning data is often the largest task. We help structure data, label examples and build pipelines so models are reliable.
Model and application development: We build models, workflows and user interfaces. For many projects the solution mixes simple rules, classic ML and more advanced neural models where needed.
Integration and automation: We integrate with your existing software — ERPs, CRMs, document repositories or custom systems — and automate end-to-end flows. Where suitable we use RPA tools alongside APIs.
Testing, deployment and validation: We validate outcomes with real users, set up A/B or pilot runs and refine models based on feedback before wider rollout.
Monitoring, maintenance and support: After deployment, we monitor performance, retrain models when necessary and provide support so automations remain effective as data and needs evolve.