The full answer
AI consulting helps you decide where AI will make a measurable difference: which processes to automate, which product features users would value, and which ideas are not worth pursuing yet. The output is a prioritised list of use cases with the data, risks and effort each one involves.
AI development turns those use cases into working software. That can mean a customer-facing assistant, an internal tool that drafts documents or extracts data from files, an agent that completes multi-step tasks across your systems, or a predictive model that forecasts demand or flags risk.
Creuto works with models from Anthropic (Claude), OpenAI, Google (Gemini) and Meta (Llama), along with frameworks such as LangChain, TensorFlow and PyTorch and vector databases such as pgvector and Pinecone. The model is chosen per use case, not by default.
AI work follows the same delivery process as other Creuto projects: discovery, a fixed-scope proposal, two-week sprints with working software, testing and ongoing support. Evaluation, privacy and human oversight are planned from the first sprint.
Examples in the portfolio include an AI-powered sales CRM and an AI-powered sales training app for Škoda Auto.