# BID Company vs xtream

> Two top-rated AI Consulting agencies in Milan. Side by side: published rates, team size, service and industry coverage, and the curator's assessment of both — pairings are never sold.

Canonical page: https://www.aiagencies.eu/compare/bid-company-vs-xtream
Generated: 2026-10-21 · Curated by Gabor Kiss · No paid placements — inclusion, score, and rank are never sold.

## Facts
| | BID Company | xtream |
|---|---|---|
| Editorial score | 51/100 | 60/100 |
| Hourly rate | €45-85/hr (directory-listed) | €45-85/hr (directory-listed) |
| Team size | 50-249 | 10-49 |
| Location | Milan, Italy | Milan, Italy |
| Founded | 2016 | 2018 |
| Last reviewed | 2026-09-03 | 2026-09-03 |
| Services | AI Consulting, AI Development, Generative AI | AI Development, AI Consulting |
| Industries | FinTech, Healthcare, Manufacturing | FinTech, SaaS & B2B, E-commerce |

## Our take on BID Company
Reviewed 2026-09-03 by Gabor Kiss against published evidence.

The published case studies carry numbers but not names: a generative-AI KYC report generator at an unnamed Italian bank that cut production time from 1.5 hours to 0.5 per report and operating cost by 64%, churn models that intercepted 50% of financial-advisor departures in advance at an unnamed cooperative banking group, and energy-demand forecasting for an unnamed Swiss utility that lifted average forecast accuracy by 18%.

Each page is a summary with the full study behind a download form, the stack is rarely named beyond few-shot prompting and the SAS and Google Cloud partnerships, and the only named client voice is Repower Italia's head of volume controlling—so the reference call is where the evidence lives.

The corporate footprint is larger than the Italian-only site suggests: 100-plus staff, Xenon private-equity backing since 2022, entry into the DGS group in 2025, four ISO certifications and 21 client logos across banking, pharma, energy and transport.

Best for Italian banks, insurers and pharma groups that want an established analytics vendor for a forecasting, segmentation or document-automation program and can take references in Italian.

### Key strengths
- Published rates of €45–85/h for a 100-plus-person, private-equity-backed analytics firm with ISO 9001, 27001, 45001 and 14001 certifications
- Generative-AI work sits in the case-study record, not only the blog: the KYC study documents few-shot prompting and second-level entity relationships alongside the 64% cost figure
- Long client relationships are documented: the pharma segmentation study states the collaboration has run and expanded every year since 2020

### Good to know
- Every case study anonymizes its client—ask which homepage logos match which study and for a reference behind the KYC or churn work
- The site publishes no team page—ask who on the 100-plus staff would lead your engagement and how many of them hold data-science or ML-engineering roles
- The site is Italian-only—if your team works in English, confirm delivery language and documentation before contracting

## Our take on xtream
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

## Which to choose
Choose BID Company for:
- larger team capacity for multi-stream or enterprise-scale programs
- disclosed specialization in Healthcare / Manufacturing
- broader service offering — also covers Generative AI

Choose xtream for:
- closer collaboration at a smaller team scale
- disclosed specialization in SaaS & B2B / E-commerce
- a higher overall editorial score

## Questions buyers ask

### Which is cheaper, BID Company or xtream?
Pricing is comparable: BID Company at €65/hr median vs xtream at €65/hr. Choose on specialization rather than cost.

### Which has more FinTech experience, BID Company or xtream?
Both agencies show documented FinTech work and have similar industry breadth. Compare directly on the agency profiles: BID Company and xtream.

### Which scores higher overall, BID Company or xtream?
xtream scores 60/100, 9 points higher than BID Company at 51/100. See our methodology for how scores are calculated.

### Which is faster to engage, BID Company or xtream?
Neither publishes lead times, so this is a read on team size rather than a measured answer. xtream runs the smaller team, which usually means fewer procurement gates and a shorter path to kickoff. BID Company runs a larger one, which tends to mean more steps but more capacity to start parallel workstreams. Current kickoff availability is the number that actually decides it — ask both.

### When should I consider both BID Company and xtream?
Consider running parallel discovery briefs with BID Company and xtream if your project spans multiple workstreams, you want competitive proposals to compare scope and approach, or you're undecided between the specialization angles each brings (see the Best for cards above). Most engagements ultimately go with one — but the parallel-brief phase is a low-cost way to validate fit.

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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