# Artefact vs Satalia

> Comparing AI Consulting options: Paris vs London. 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/artefact-vs-satalia
Generated: 2026-09-17 · Curated by Gabor Kiss · No paid placements — inclusion, score, and rank are never sold.

## Facts
| | Artefact | Satalia |
|---|---|---|
| Editorial score | 74.8/100 | 74.8/100 |
| Hourly rate | not published | not published |
| Team size | 1000+ | 50-249 |
| Location | Paris, France | London, United Kingdom |
| Founded | — | 2008 |
| Last reviewed | 2026-08-05 | 2026-09-07 |
| Services | AI Consulting, AI Development, AI Automation, AI Agents | AI Consulting, AI Development, AI Agents |
| Industries | E-commerce, FinTech, Manufacturing | E-commerce, FinTech, Manufacturing |

## Our take on Artefact
Reviewed 2026-08-05 by Gabor Kiss against published evidence.

The Bpifrance engagement is the one to read first. Artefact took agentic AI from experiment to scale across 500 employees at a public investment bank, and what came out of it was not one assistant but more than 1,500 individual agents built by the business teams themselves. That is a different claim from most agentic case studies, which describe a system rather than an adoption curve.

Carrefour is the sharper commercial example: a conversational agent that produces a complete market study for a store opening in two minutes, work that previously took months, with a 15-point improvement in revenue-prediction accuracy alongside it. VINCI Airports runs across seventy sites, Nexans has a data and AI roadmap built on Databricks, and Burger King, FDJ United and Groupe Barrière each publish their own write-up.

More than a hundred further client pages sit behind those, which is the largest published body of work in this register.

The size cuts both ways. This is a 2,500-person firm across thirty-two offices, so the team you meet is not the team you get by default—ask who staffs the engagement and where they sit.

### Key strengths
- Agentic AI evidenced at adoption scale rather than pilot scale: 500 employees, then more than 1,500 agents emerging from the business itself
- Outcome figures published on the cases that carry them—two minutes for a market study, 15 points of revenue-prediction accuracy, seventy airports
- Over a hundred client pages published, so a buyer can find work in their own sector rather than accepting an analogue

### Good to know
- 2,500 people across thirty-two offices—confirm which office delivers, who is named on the team, and how much is subcontracted
- Many of the published cases carry no numbers at all; the strong ones are strong, but the portfolio is uneven on outcomes

## Our take on Satalia
Reviewed 2026-09-07 by Gabor Kiss against published evidence.

Two of the systems here have been running for a decade: the Tesco last-mile engine built in 2015 still schedules 100,000 deliveries a day, and the PwC workforce optimizer built in 2016 still assigns 4,200 people across 6,600 client engagements.

The newer work carries numbers too—DFS reports 18% better fuel efficiency and 19% less unplanned driver overtime, and a UK telco engagement documents £59 million in savings with 139 full-time staff working from the model's output.

The specialty is optimization and operations research rather than generative AI: more than 20 PhDs and MScs in discrete mathematics sit behind delivery, and the founding team includes the UK government's Chief Scientific Adviser for National Security.

Since the 2021 WPP acquisition the published investment has gone into marketing AI products, so a buyer with a routing or scheduling problem should ask which team still does that work.

### Key strengths
- The Tesco delivery system built in 2015 still schedules 100,000 deliveries a day; the 2016 PwC workforce optimizer still assigns 4,200 people to 6,600 engagements
- More than 20 PhDs and MScs in discrete mathematics and operations research, with founders from UCL Computer Science and the UK national security advisory role
- DFS and the UK telco engagements both publish outcome numbers: 18% fuel efficiency, £59M savings, 200x return on investment

### Good to know
- WPP has owned Satalia since 2021 and recent published work is marketing AI—ask who staffs an optimization engagement now
- The strongest results are nine and ten years old—ask for a routing or scheduling system delivered in the last three years
- No rate and no engagement model are published—ask whether they sell projects, embedded teams or platform licenses

## Which to choose
Choose Artefact for:
- larger team capacity for multi-stream or enterprise-scale programs
- broader service offering — also covers AI Automation

Choose Satalia for:
- closer collaboration at a smaller team scale
- an overall editorial score of 74.8/100

## Questions buyers ask

### Which has more E-commerce experience, Artefact or Satalia?
Both agencies show documented E-commerce work and have similar industry breadth. Compare directly on the agency profiles: Artefact and Satalia.

### Which scores higher overall, Artefact or Satalia?
Both score equally well overall (74.8/100). The deciding factor is specialization — see the editorial quotes and Strengths sections above. Full methodology.

### When should I consider both Artefact and Satalia?
Consider running parallel discovery briefs with Artefact and Satalia 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