Agency Comparison
Artefact vs Faculty AI
Comparing AI Consulting options: Paris vs London.
Comparison updated August 2026
Side by side
Published data on both agencies. Where one side measurably differs, the dot marks it: the higher score, the lower published rate, the larger team, the more recent review. Which of those is an advantage depends on your brief.
| Attribute | Artefact | Faculty AI |
|---|---|---|
| Editorial score | Higher score: 74.8/100 | 73.3/100 |
| Hourly rate | Contact for rates | Contact for rates |
| Team size | Larger team: 1000+ | |
| Location | Paris, France | London, United Kingdom |
| Founded | — | 2014 |
| Last reviewed | More recent review: Aug 5, 2026 | Aug 4, 2026 |
What we said about each
Our take on Artefact
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.
Reviewed Aug 5, 2026
Read the full assessment →Our take on Faculty AI
Published case studies show systems that survived scrutiny most agencies never face—the NHS AI Lab's model-validation process for clinical AI, deployed generative-AI tooling inside Tide's support operation, and an LLM-backed recommender that now sources 25% of Axiom Law's hires. The published work index spans defense, energy, insurance, and government, though many entries are anonymized or brief. Rates are not published and the engagement profile is institutional—expect procurement-grade…
Reviewed Aug 4, 2026
Read the full assessment →Best for
Where each agency measurably leads on the published data — team capacity, declared specializations, editorial scoring, and rates where both publish them. Use these to match an agency to your project priorities.
Choose Artefact if you need
- larger team capacity for multi-stream or enterprise-scale programs
- disclosed specialization in E-commerce / Manufacturing
Choose Faculty AI if you need
- closer collaboration at a smaller team scale
- disclosed specialization in Public Sector / Healthcare
- broader service offering — also covers Generative AI
Strengths and watch-outs
Both upsides and risks, straight from our editorial assessments.
Artefact
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
Watch-outs
- 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
Faculty AI
Strengths
- Published 10% ticket-handling-time reduction at Tide, with the deployed tools named (AgentAssist, MemberSummarise on Amazon Bedrock)
- Applied AI since 2014 with an in-house fellowship talent pipeline—delivery here predates the LLM wave
- NHS England's deputy director of AI is quoted crediting the validation work in the published study
Watch-outs
- Much of the work index is anonymized (military, challenger bank)—ask for a speakable reference in your sector
- No published rates; budget for institutional procurement timelines
Service coverage
Where the two overlap, and where each covers ground the other does not.
Industry coverage
Where the two overlap, and where each covers ground the other does not.
Frequently asked questions
- Which has more FinTech experience, Artefact or Faculty AI?
- Both agencies show documented FinTech work. Faculty AI has the broader industry stack overall, with disclosed experience in Public Sector, Healthcare, Legal beyond their shared focus.
- Which scores higher overall, Artefact or Faculty AI?
- Artefact scores 74.8/100, 1.5 points higher than Faculty AI at 73.3/100. Both portfolio quality and business credibility feed into the score — see our methodology for the full breakdown.
- When should I consider both Artefact and Faculty AI?
- Consider running parallel discovery briefs with Artefact and Faculty AI 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.
Read the full reviews
A side-by-side is a starting point. The full assessments carry the portfolio analysis, documented engagements, and the evidence behind every strength and watch-out above.