Tooploox
Wrocław, Poland
About
Tooploox is a Wrocław AI-first software firm building machine learning, generative AI and product engineering for startups and enterprises.
Who They Work With
Product teams needing an ML problem researched and built from scratch—no dataset, no proven approach—not an off-the-shelf integration.
Based on 5 client engagements with a source URL · researched 8 Sept 2026
Our Take
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
Reviewed by Gabor Kiss
Founder & Curator, AIAgencies.eu · 8 Sept 2026
Based on the agency's publicly available portfolio. Own this agency? Claim your profile to provide additional context or request a review update.
Notable Clients
Documented engagements: Workshop 4.0, June, PhotoAid, Spire Health, Adaptive, and eBay. All 6 carry a source URL on file.
Also worked with
Industries
Get Matched with Agencies
RecommendedTell us your needs and we'll connect you with 3 vetted agencies—including Tooploox if it's a fit.
Get Matched →Curator shortlist within 3 business days
Visit Tooploox's website →Own this agency? Claim your profile to verify info & receive leads directly.
