Agency Comparison
enliteAI vs Waterglass
Two top-rated AI Development agencies in Vienna.
Comparison updated · Newest review
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 | enliteAI | Waterglass |
|---|---|---|
| Editorial score | Higher score: 52.8/100 | 43.3/100 |
| Hourly rate | Contact for rates | Contact for rates |
| Team size | 10-49 | 10-49 |
| Location | Vienna, Austria | Vienna, Austria |
| Founded | 2017 | 2024 |
| Last reviewed | More recent review: Sep 7, 2026 | Aug 4, 2026 |
What we said about each
Our take on enliteAI
The published evidence is research and product, not client delivery: enliteAI maintains Maze, an open-source applied reinforcement-learning framework, co-authored a 2025 paper with grid operator TenneT on power-grid topology control, and spun out Detekt, a GeoAI road-asset platform acquired by Cyclomedia in August 2025. Fifteen client logos are published—A1, Andritz, Audi, Boehringer Ingelheim, EY, Erste Group, voestalpine and the City of Vienna among them—but no engagement is described…
Reviewed Sep 7, 2026
Read the full assessment →Our take on Waterglass
Four named clients are published—InStaff, notus, HHLA Next and Heylog—but each is a single line rather than a case study, and the "read case study" links did not resolve at review. The stronger evidence is the venture side, which is verifiable independently: Notehouse, a HIPAA-compliant case-management product used by 250+ organizations and acquired in 2025, and Pxl, a QR and microsite builder with 100 million interactions now being rebuilt as an agentic business. The site is unusually straight…
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 enliteAI if you need
- disclosed specialization in Public Sector / Manufacturing
- a higher overall editorial score
Choose Waterglass if you need
- broader service offering — also covers AI Automation and Generative AI
- an overall editorial score of 43.3/100
Strengths and watch-outs
Both upsides and risks, straight from our editorial assessments.
enliteAI
Strengths
- The method is checkable in public: a 2025 paper co-authored with grid operator TenneT on multi-objective grid topology control, plus first place in the 2022 L2RPN power-grid competition
- Maze, their applied reinforcement-learning framework, is on GitHub—you can read how they build agents before hiring them
- Detekt, the GeoAI platform they built and spun out, was acquired by Cyclomedia in 2025, which is shipped-product evidence even though it was their own venture
Watch-outs
- No client case study is published anywhere on the site—ask for a written engagement summary with outcomes before shortlisting
- The energy work reads as a methodology and pilot framework rather than a live deployment—ask which grid operator is running it and at which maturity step
- Computer vision is still listed as a capability, but Detekt, the team behind it, was sold in August 2025—confirm what vision capacity remains in-house
Waterglass
Strengths
- Operates what it builds—monitoring, model changes and new requirements are named as an ongoing service, not a handover
- European hosting with model residency in Germany or the EU on request, documented per data flow
- Two acquired products of its own, so the AI-build claim is testable outside client references
Watch-outs
- Client work is published as one-line summaries with no reachable case studies—ask for a reference you can speak to
- The company is recently formed and publishes no headcount; ask who would staff the build
- Vienna-based and open about it: on-site days in Germany mean travel, remote for the rest
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 scores higher overall, enliteAI or Waterglass?
- enliteAI scores 52.8/100, 9.5 points higher than Waterglass at 43.3/100. Both portfolio quality and business credibility feed into the score — see our methodology for the full breakdown.
- When should I consider both enliteAI and Waterglass?
- Consider running parallel discovery briefs with enliteAI and Waterglass 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.