Machine Learning, Deep Learning and AI services

Machine learning is no longer an experimental capability — it's woven into operations across finance, retail, healthcare, logistics, and beyond. As deployment has become easier and inference costs have dropped, the bar for what counts as a competitive ML feature keeps rising.

You no longer need to build every model from scratch. Three deployment layers now exist:

Managed ML platforms for classical ML and computer-vision workloads — AWS SageMaker, Google Cloud AI, Azure Machine Learning.
Hosted LLM APIs for conversational AI, retrieval-augmented generation (RAG), and agentic workflows — Claude, ChatGPT, Gemini, DeepSeek.
Open-source models for privacy-sensitive deployments in your private cloud or on-premises — DeepSeek, Kimi, Qwen, Llama, Mistral.

Vantino designs and ships across all three. We help you pick the right layer for each use case — managed pipelines where total cost of ownership matters, hosted APIs where speed of integration matters, and self-hosted open-source models where data sovereignty rules out external services.

How can your business benefit from ML and AI?

Financial sector

Fraud detection: learn from past patterns and live signals (transaction, location, device, graph) to flag fraud in real time.
Credit assessment from audited statements and alternative-data signals.
Forecasting: cash flow, churn, demand planning.
LLM-powered analysis: summarise filings, extract contract clauses, generate first-draft memos.

Retail & e-commerce

Recommender systems: surface the right product at the right moment.
Consumer segmentation: predict conversion likelihood, personalise offers, lower churn.
Generative product content: descriptions, image captions, SEO copy at scale.
Conversational shopping: LLM chatbots grounded in your catalogue (RAG).

Healthcare

ML diagnostic tools (imaging, structured EHR).
Clinical-knowledge assistants grounded in your guidelines (RAG over protocols and SOPs).
Document summarisation of records and trial reports.

Customer support & operations

LLM chatbots grounded in your knowledge base — accurate, citable, on-policy.
Ticket triage, intent classification, auto-drafted responses for human review.
Internal search across wikis, contracts, tickets via RAG.

Marketing

Sentiment analysis across reviews and social.
Generative copy variations for A/B testing and localisation.
Propensity modelling and audience segmentation.

Security

Anomaly detection and authentication.
Log triage and alert summarisation with LLMs.

These are the industries we work with and examples of solutions that benefit our clients — with machine learning the options keep expanding, so don't hesitate to contact us for an individual consultation.

More details on our Machine Learning & AI Consulting page.

Machine Learning & AI

How can your business benefit from ML and AI?

Let's talk about your project