# Tooploox

> Tooploox is a reviewed AI agency in Wrocław, Poland, listed in the AIAgencies.eu register and last assessed 2026-09-08.

Canonical page: https://www.aiagencies.eu/agency/tooploox
Generated: 2026-09-21 · Curated by Gabor Kiss · No paid placements — inclusion, score, and rank are never sold.

## Facts
- Location: Wrocław, Poland
- Website: https://tooploox.com
- Hourly rate: €45-85/hr (directory-listed)
- Team size: 50-249
- Founded: 2012
- Services: AI Development, Generative AI, AI Consulting
- Industries: Healthcare, SaaS & B2B
- LinkedIn: https://www.linkedin.com/company/tooploox

## About
Tooploox is a Wrocław AI-first software firm building machine learning, generative AI and product engineering for startups and enterprises.

## Documented clients
Documented engagements: Workshop 4.0, June, PhotoAid, Spire Health, Adaptive, and eBay. All 6 carry a source URL on file.

## Curator assessment
Reviewed 2026-09-08 by Gabor Kiss against published evidence.

The engineering write-ups are the evidence here: a reinforcement-learning scheduler for a crude-oil distillation unit, trained inside a purpose-built refinery simulator because testing on the live installation was out of the question, and a computer-vision system that lets a robotic arm pick wooden panels off an unsorted pile on a budget that ruled out depth cameras.

Named delivery runs the same way—neural networks behind June's smart-oven food recognition, a synthetic-data pipeline plus an Arduino photobooth that built PhotoAid's training set from nothing—and the research bench is unusual for an agency this size: a chief scientist and a head of R&D who are both professors, with public Google Scholar profiles and NeurIPS-affiliated papers.

What is missing is numbers. The studies explain architecture in detail and report results in prose, and eBay heads the client list with a paragraph that describes no delivered work at all.

The weaker fit is a buyer who needs a production system with measured outcomes and an operating agreement; this is a research-and-build shop, and a large share of the client list is ordinary product design and app engineering.

### Key strengths
- Technical narratives are written by the people who did the work: an RL scheduler trained in a custom refinery simulator, computer-vision picking built without depth cameras to hold a budget
- The research bench is named and checkable—a chief scientist and a head of R&D who are both professors, with Google Scholar profiles and NeurIPS-affiliated papers
- Delivery covers dataset creation, not just modeling: synthetic image generation and an Arduino photobooth produced PhotoAid's training data from zero

### Good to know
- eBay leads the client list with a paragraph naming no deliverable—ask what was actually built there before counting it as a reference
- Case studies explain architecture but rarely report outcomes as numbers—ask for accuracy, latency or cost figures on the system closest to yours
- Much of the roster is product design and app engineering—confirm that ML engineers rather than the product team would staff your build

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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