# Artefact vs Converteo

> Two top-rated AI Consulting agencies in Paris. 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-converteo
Generated: 2026-09-20 · Curated by Gabor Kiss · No paid placements — inclusion, score, and rank are never sold.

## Facts
| | Artefact | Converteo |
|---|---|---|
| Editorial score | 74.8/100 | 70.8/100 |
| Hourly rate | not published | not published |
| Team size | 1000+ | 250+ |
| Location | Paris, France | Paris, France |
| Founded | — | — |
| Last reviewed | 2026-08-05 | 2026-08-05 |
| Services | AI Consulting, AI Development, AI Automation, AI Agents | AI Consulting, AI Agents, AI Development, AI Marketing |
| Industries | E-commerce, FinTech, Manufacturing | E-commerce, 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 Converteo
Reviewed 2026-08-05 by Gabor Kiss against published evidence.

Sharlie, the voice agent behind Orange's Sosh brand, is the most completely documented build in this register, and the detail is the point.

Converteo committed to a voice-to-voice architecture in April 2024, before the model reached general availability, specifically to avoid a later migration off a speech-to-text pipeline—a decision that bought roughly one second of latency against three. Around thirty specialized agents hand off between themselves, escalate to a human, and act on Orange's catalog, billing and account systems rather than only answering. Validation was modeled on how call-center advisors are trained. Virtual clients replay conversations at volume against an LLM-as-a-judge scoring price accuracy and brand posture, and an AI-specific bug bounty ran with around forty white hackers before launch. It went to production on 16 March 2026 with a mechanism to stop it.

The rest of the library is a decade of measurement and pricing work with named clients: Carrefour, Leroy Merlin, L'Oréal, ENGIE, BUT, Picard, Arkema.

The caveat is that this depth is exceptional rather than typical—most of the other cases describe data and marketing engineering, not AI.

### Key strengths
- One engagement documented end to end, including the architecture decision, its latency cost, the evaluation rig and the kill switch—no other agency here publishes at that level
- Evaluation as a discipline rather than an afterthought: virtual clients, an LLM-as-a-judge scoring price accuracy and brand posture, and an AI bug bounty before exposure to customers
- Ten-plus named clients across retail, energy and industry, with the work described case by case rather than listed as logos

### Good to know
- Outside the voice-agent work, most published cases are data and marketing engineering—confirm which practice your engagement lands in
- No headcount, founding year or rates published; scale and price both have to be established in conversation

## Which to choose
Choose Artefact for:
- larger team capacity for multi-stream or enterprise-scale programs
- disclosed specialization in FinTech
- broader service offering — also covers AI Automation
- a higher overall editorial score

Choose Converteo for:
- closer collaboration at a smaller team scale
- broader service offering — also covers AI Marketing

## Questions buyers ask

### Which has more E-commerce experience, Artefact or Converteo?
Both agencies show documented E-commerce work. Artefact has the broader industry stack overall, with disclosed experience in FinTech beyond their shared focus.

### Which scores higher overall, Artefact or Converteo?
Artefact scores 74.8/100, 4 points higher than Converteo at 70.8/100. Both portfolio quality and business credibility feed into the score — see our methodology for the full breakdown.

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