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#2 of 15 AI agencies in Warsaw

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deepsense.ai

Warsaw, Poland

50-249€85-130/hrFounded 2014

About

deepsense.ai is a Warsaw machine-learning consultancy building production AI, language-model, computer-vision and MLOps systems for enterprise clients.

Our Take

The published work is machine learning proper: a computer-vision system for WWF that mapped Poland's oxbow lakes using ResNet vectorization combined with location metadata, cutting a months-long manual process to hours, and a food-production quality system detecting topping defects and sauce smears at over 99% accuracy.

The team is described as 120 AI specialists doing applied research, scientific publications and open-source work alongside client delivery, with leadership named and their backgrounds published.

The pattern worth noting is naming: WWF is named, but the strongest industrial results belong to "one of the biggest foodservice companies" and "a world leader in mobile computing"—normal for enterprise machine learning, and it means your due diligence happens on a reference call rather than on the site.

Best for organizations whose problem has no obvious method—novel vision tasks, forecasting, model selection—rather than a fixed-scope automation, at a rate that reflects a research-capable bench.

Key strengths

  • Technique is named rather than implied: ResNet vectorization with location metadata on the WWF mapping, neural visual detection at over 99% accuracy on the food line
  • 120 AI specialists with published research and open-source contributions alongside delivery, and named leadership with checkable backgrounds
  • Founded 2014, which in this market means a decade of machine-learning delivery predating the language-model wave

Good to know

  • The strongest industrial outcomes are anonymized—ask for a speakable reference in your sector
  • An LLM workshop sits among the published cases; separate the enablement engagements from the built systems when comparing
  • €85–130/h is above the typical Polish band—confirm what a research-grade engagement costs against a scoped build
Gabor Kiss

Reviewed by Gabor Kiss

Founder & Curator, AIAgencies.eu · 7 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.


How we evaluate agencies

Notable Clients

Every engagement documented in a published case study

Documented engagement: WWF. It carries a source URL on file.

WWFFirst attempt to map every oxbow lake in Poland with AI: shape and location analysis using ResNet image vectorization combined with size and location metadata, cutting a manual identification process from months to hoursSource

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