# xtream

> xtream is a reviewed AI agency in Milan, Italy, listed in the AIAgencies.eu register and last assessed 2026-09-03.

Canonical page: https://www.aiagencies.eu/agency/xtream
Generated: 2026-09-28 · Curated by Gabor Kiss · No paid placements — inclusion, score, and rank are never sold.

## Facts
- Location: Milan, Italy
- Website: https://xtreamers.io
- Hourly rate: €45-85/hr (directory-listed)
- Team size: 10-49
- Founded: 2018
- Services: AI Development, AI Consulting
- Industries: FinTech, SaaS & B2B, E-commerce
- LinkedIn: https://www.linkedin.com/company/xtream-srl

## About
xtream is a Milan machine-learning and product engineering firm building forecasting, optimization and generative-AI systems for banks, insurers, pharmaceutical groups and scale-ups.

## Documented clients
Documented engagements: WeRoad, Credimi, CF+, Eficode, illimity, Axa, and Lavazza. 4 of 7 carry a source URL on file.

## Curator assessment
Reviewed 2026-09-03 by Gabor Kiss against published evidence.

Three of the 10 published projects describe machine-learning or optimization systems that reached production with numbers attached: hourly power-load forecasting for an unnamed Italian utility that cut relative error by 24% (residential) and 26% (industrial) and became the utility's official tool, demand forecasting for an unnamed food-and-beverage group, retrained monthly on Azure ML, that reduced planning effort by 25%, and WeRoad's tour planner, where 84% of departures now fall on a date chosen by the solver.

The stack is named each time (scikit-learn, PyTorch, a Luigi pipeline deployed on-premises, Azure ML with a Power BI front end) and the DeepPsyMe research write-up states plainly that its prototypes are not ready for production, which is the kind of disclosure most portfolios omit.

The two strongest ML deployments are anonymized, so the speakable reference is WeRoad, and the AI Solutions page rules out dashboards and image processing outright—useful scoping if your brief is forecasting, a mismatch if it is computer vision.

The weaker fit is buyers who want a large bench or a generative-AI showcase—the team page lists 20 people and every published AI study is predictive modeling or optimization, with no LLM deployment among them.

### Key strengths
- Published rates of €45–85/h against production forecasting systems with measured error reductions
- 7 of the 20 named team members carry data-science or AI-engineer titles, led by a founder who is Head of AI
- Engagement terms are written down: a service-oriented iteration model and a product-oriented fixed-scope model, each with its prerequisites, are published on the AI Solutions page

### Good to know
- The utility and food-and-beverage studies are anonymized—ask for a reference call behind at least one of them before relying on the error-reduction figures
- The portfolio page claims 30-plus projects and 20-plus customers against 10 published—ask for the list behind the number
- The WeRoad system is a mixed-integer-programming optimizer, not a learned model—if your brief is generative AI, ask for an LLM engagement they can show

## Compared head-to-head
- xtream vs BID Company: https://www.aiagencies.eu/compare/bid-company-vs-xtream
- xtream vs Buildo: https://www.aiagencies.eu/compare/buildo-vs-xtream

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Source: AIAgencies.eu — the curated register of European AI agencies. Rate provenance: "agency-confirmed" = disclosed via submission or claimed profile; "directory-listed" = Clutch or two agreeing B2B directories (lone unverified sources are never written). Full method: https://www.aiagencies.eu/methodology · Rate index: https://www.aiagencies.eu/rates