# allUpp vs enliteAI

> Two top-rated AI Agents agencies in Vienna. 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/allupp-vs-enliteai
Generated: 2026-09-24 · Curated by Gabor Kiss · No paid placements — inclusion, score, and rank are never sold.

## Facts
| | allUpp | enliteAI |
|---|---|---|
| Editorial score | 43.8/100 | 52.8/100 |
| Hourly rate | not published | not published |
| Team size | 10-49 | 10-49 |
| Location | Vienna, Austria | Vienna, Austria |
| Founded | — | 2017 |
| Last reviewed | 2026-09-24 | 2026-09-07 |
| Services | AI Agents, AI Consulting, AI Automation | AI Development, AI Agents, AI Consulting |
| Industries | Manufacturing, SaaS & B2B | Public Sector, Manufacturing |

## Our take on allUpp
Reviewed 2026-09-24 by Gabor Kiss against published evidence.

Two of the 16 success stories on the site involve AI, and both run on Salesforce Agentforce inside an existing org: SSI Schäfer's triage classifies incoming service emails, routes clear cases to the service, maintenance or spare-parts team and hands uncertain ones to a person, and vibe moves you uses an agent that summarizes service cases from emails, calls, notes and linked contracts.

Neither write-up publishes a volume, an accuracy figure or a time saving—the SSI Schäfer result is stated as faster responses and an eight-week delivery, in quotes from two of its vice presidents.

The other 14 stories are CRM rollouts with no AI component, so the published evidence is for configuring the vendor's agent platform rather than building models or data pipelines.

The weaker fit is buyers who need AI built outside Salesforce, or on data the CRM does not hold.

### Key strengths
- SSI Schäfer's case triage is live with a documented fallback—uncertain classifications go to a person—and the client's global head of sales credits delivery in eight weeks
- Package prices are published: an Agentforce use case from €15,990 (basic) or €23,990 (advanced), and a three-hour use-case workshop from €1,390, all excluding VAT
- 35 people named on the about page with roles, and 16 named-client stories carrying attributed quotes from client executives

### Good to know
- Neither AI write-up reports a metric—ask SSI Schäfer how many cases the triage handles and how often it falls back to a person
- Every AI engagement shown is Agentforce configuration inside Salesforce—confirm your data and workflow live there, and ask whether agent licensing is included in the package price
- The team page lists consultants, solution engineers, developers and data analysts but no ML or AI role—ask who writes and tests the agent's instructions and classification schema

## Our take on enliteAI
Reviewed 2026-09-07 by Gabor Kiss against published evidence.

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 anywhere on the site, so what was built for whom stays unstated apart from the 2019 municipal AI strategy for Vienna.

The energy work is presented as a methodology and a maturity model—a seven-step path toward autonomous digital twins for distribution grids—with integration claimed for Schneider Electric, Hitachi, Siemens and GE Vernova systems.

Best for grid operators and optimization problems where reinforcement learning is genuinely the method; a buyer who needs to read what a comparable engagement delivered will have to ask for it directly.

### Key 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

### Good to know
- 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

## Which to choose
Choose allUpp for:
- disclosed specialization in SaaS & B2B
- broader service offering — also covers AI Automation

Choose enliteAI for:
- disclosed specialization in Public Sector
- broader service offering — also covers AI Development
- a higher overall editorial score

## Questions buyers ask

### Which has more Manufacturing experience, allUpp or enliteAI?
Both agencies show documented Manufacturing work and have similar industry breadth. Compare directly on the agency profiles: allUpp and enliteAI.

### Which scores higher overall, allUpp or enliteAI?
enliteAI scores 52.8/100, 9 points higher than allUpp at 43.8/100. See our methodology for how scores are calculated.

### When should I consider both allUpp and enliteAI?
Consider running parallel discovery briefs with allUpp and enliteAI 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.

---
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