Agency Comparison
dida vs Faculty AI
Comparing AI Consulting options: Berlin 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 | dida | Faculty AI |
|---|---|---|
| Editorial score | 68/100 | Higher score: 73.3/100 |
| Hourly rate | €130-175/hr | Contact for rates |
| Team size | Larger team: 10-49 | |
| Location | Berlin, Germany | London, United Kingdom |
| Founded | 2018 | 2014 |
| Last reviewed | Aug 4, 2026 | Aug 4, 2026 |
What we said about each
Our take on dida
The Deutsche Bahn work is the most technically detailed case study on this register. dida published its approach to detecting anomalous objects on track—monocular depth estimation with a fine-tuned vision transformer, Segment Anything for masks, depth maps to rank what matters—along with before-and-after outputs and a conference talk naming the engineer who led it. The published project index runs to roughly eighteen builds across remote sensing, industrial inspection, document understanding…
Reviewed Aug 4, 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 dida if you need
- larger team capacity for multi-stream or enterprise-scale programs
- disclosed specialization in Manufacturing
Choose Faculty AI if you need
- closer collaboration at a smaller team scale
- disclosed specialization in Healthcare / FinTech
- broader service offering — also covers AI Agents and Generative AI
- a higher overall editorial score
Strengths and watch-outs
Both upsides and risks, straight from our editorial assessments.
dida
Strengths
- Publishes methods at a level that can be independently assessed—named models, datasets, and the reasoning behind rejected approaches
- Works with open datasets and open publication, including a project on Deutsche Bahn's automated-driving program
- Names the scientists on its projects and runs its own annual conference, so the bench is verifiable before you engage
Watch-outs
- Case studies describe method rather than result—ask for a deployed reference with numbers if you need one
- A 10-49 person team taking research-grade work; confirm capacity and timeline before committing to a deadline
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.
Pricing math
What a 12-week engagement at one full-time equivalent (~480hours) costs at each agency’s published rate. An arithmetic projection, not a quote — real scopes move with seniority mix and team shape.
dida
Rate: €130-175/hr
€62,400–€84,000
Faculty AI
Contact for rates
Only dida publishes a rate, so there is no gap to measure. Faculty AI quotes per engagement — ask for a rate card early, since a comparison that starts on scope and ends on price tends to end late.
Frequently asked questions
- Which has more Public Sector experience, dida or Faculty AI?
- Both agencies show documented Public Sector work. Faculty AI has the broader industry stack overall, with disclosed experience in Healthcare, FinTech beyond their shared focus.
- Which scores higher overall, dida or Faculty AI?
- Faculty AI scores 73.3/100, 5.3 points higher than dida at 68/100. See our methodology for how scores are calculated.
- When should I consider both dida and Faculty AI?
- Consider running parallel discovery briefs with dida 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.