From AI assistants that answer customers to machine-learning models that forecast demand and bots that remove repetitive work, we build practical AI that connects to your ERP and delivers measurable results.
Customer-support and sales assistants on your website, WhatsApp or portal, trained on your products, policies and documents.
Agents that read emails, create orders, update ERP records and draft replies, with human approval where needed.
Extract data from invoices, purchase orders, delivery notes and ID documents straight into your ERP.
Machine-learning models that predict demand, so you buy and produce the right quantities.
Spot unusual transactions, pricing errors and suspicious activity before they cost you.
Visual quality inspection, counting, label reading and safety monitoring from camera feeds.
Personalised product recommendations for eCommerce and B2B portals.
Classify tickets, analyse feedback sentiment and summarise long documents automatically.
Combine IoT sensor data and ML to predict machine failures before they happen.
Repetitive manual work, such as copying data between systems, chasing approvals and sending the same emails, is expensive and error-prone. We automate it end to end.
A low-risk path that proves value before you scale.
Workshop to find high-value, feasible AI and automation opportunities.
A focused proof of concept on your real data, in weeks.
Connect to ERP, CRM and apps with security and human-in-the-loop controls.
Track accuracy, cost and impact; retrain and refine over time.
| Area | Technologies |
|---|---|
| Large language models | OpenAI GPT, Anthropic Claude, Google Gemini, Meta Llama, Mistral (cloud or self-hosted) |
| AI frameworks | LangChain, LlamaIndex, Retrieval-Augmented Generation (RAG), function calling, AI agents |
| Vector databases | pgvector, Pinecone, Qdrant, Chroma |
| Machine learning | Python, scikit-learn, XGBoost, TensorFlow, PyTorch, Prophet |
| Computer vision | OpenCV, YOLO, Tesseract and cloud OCR services |
| Automation | n8n, Make, Zapier, Microsoft Power Automate, UiPath, Python bots |
| MLOps | Docker, FastAPI model serving, MLflow, scheduled retraining pipelines |
AI is only valuable if it is accurate, secure and accountable. Every solution we build includes safeguards appropriate to the risk.
Not always. Language-model solutions like assistants and document extraction work with your existing documents. Forecasting and prediction models need historical data, which we assess first.
Yes. That is where it creates the most value: reading and writing orders, invoices, stock and customer data in Odoo, SAP, Dynamics or any ERP with an API.
We use enterprise AI services with data-protection terms, or self-hosted open models when data must not leave your infrastructure.
A focused proof of concept typically takes a few weeks. Simple workflow automations can go live even faster.
Book a free AI and automation opportunity session.