Agency Comparison
DataSentics vs Faculty
Comparing AI Development options: Prague vs London.
Comparison updated
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 | DataSentics | Faculty |
|---|---|---|
| Editorial score | Higher score: 74.8/100 | 73.3/100 |
| Hourly rate | Contact for rates | Contact for rates |
| Team size | Larger team: 50-249 | |
| Location | Prague, Czech Republic | London, United Kingdom |
| Founded | 2016 | 2014 |
| Last reviewed | More recent review: Sep 3, 2026 | Aug 4, 2026 |
What we said about each
Our take on DataSentics
DataSentics documents five named production deployments with the stack disclosed down to the model: a LightGBM fraud-detection model live on Databricks and AWS for 2. 35 million Esure customers, and an XGBoost and Elasticsearch product-matching pipeline processing tens of millions of Heureka offers a day at over 98% precision. A Databricks-based personalization system is credited with 1,000 additional advisor meetings at Česká Spořitelna (Erste Group) in three months, and the story is…
Reviewed Sep 3, 2026
Read the full assessment →Our take on Faculty
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 DataSentics if you need
- larger team capacity for multi-stream or enterprise-scale programs
- disclosed specialization in E-commerce
Choose Faculty if you need
- closer collaboration at a smaller team scale
- disclosed specialization in Public Sector / Legal
- broader service offering — also covers AI Automation and AI Agents
Strengths and watch-outs
Both upsides and risks, straight from our editorial assessments.
DataSentics
Strengths
- Every case study lists the named engineer or lead behind the work, with a direct email and phone—Petr Dvořák, David Vopelka and Ondřej Havlíček among them.
- Databricks Elite Consulting Partner status is independent, verifiable corroboration of the platform expertise behind these case studies, not a self-reported claim.
- The Nestlé shelf-monitoring model runs at over 97% detection accuracy inside a live mobile app used by field sales reps, not a lab benchmark.
Watch-outs
- Confirm which legal entity signs the contract—DataSentics now operates inside the Eviden/Bull group rather than as an independent boutique.
- Ask for a reference case outside retail, insurance and banking—documented deployments cluster tightly there, plus one internal media-platform MLOps project.
- No rate is published on site—benchmark directly against the EU €100–200/h band before assuming group-vendor pricing.
Faculty
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, DataSentics or Faculty?
- Both agencies show documented FinTech work. Faculty has the broader industry stack overall, with disclosed experience in Public Sector, Legal beyond their shared focus.
- Which scores higher overall, DataSentics or Faculty?
- DataSentics scores 74.8/100, 1.5 points higher than Faculty 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 DataSentics and Faculty?
- Consider running parallel discovery briefs with DataSentics and Faculty 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.