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dida logo - AI agency in Berlin

dida

Berlin, Germany

10-49€130-175/hrFounded 2018Responds in 24h

About

dida is a Berlin machine-learning consultancy building custom computer-vision and natural-language systems for process automation. Its published portfolio spans remote sensing, industrial inspection, document understanding and public-sector search.

Who They Work With

Organisations with a hard perception or document problem who want the method documented, not just the result.

Clients:B2B

Based on 3 documented clients · verified Aug 2026

Our Take

The Deutsche Bahn work is the most technically detailed case study on this register. dida published its approach to detecting anomalous objects on track—monocular depth estimation with a fine-tuned vision transformer, Segment Anything for masks, depth maps to rank what matters—along with before-and-after outputs and a conference talk naming the engineer who led it.

The published project index runs to roughly eighteen builds across remote sensing, industrial inspection, document understanding and public-sector search, with Deutscher Wetterdienst and Enpal among the named clients.

What the portfolio rarely states is outcomes: these are engineering write-ups, and several describe systems still in development rather than in production.

The weaker fit is a buyer who needs a business case defended in numbers—this team documents how a model works far better than what it earned.

Key strengths

  • Publishes methods at a level that can be independently assessed—named models, datasets, and the reasoning behind rejected approaches
  • Works with open datasets and open publication, including a project on Deutsche Bahn's automated-driving programme
  • Names the scientists on its projects and runs its own annual conference, so the bench is verifiable before you engage

Good to know

  • Case studies describe method rather than result—ask for a deployed reference with numbers if you need one
  • A 10-49 person team taking research-grade work; confirm capacity and timeline before committing to a deadline
Gabor Kiss

Reviewed by Gabor Kiss

Founder & Curator, AIAgencies.eu · Aug 4, 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

Deutsche BahnAnomaly detection for the Digitale Schiene Deutschland automated-driving programme: monocular depth estimation (fine-tuned MonoViT) plus Segment Anything to detect and rank hazardous objects on trackSource
Deutscher WetterdienstObject detection of convective clouds in satellite imagery using deep learningSource
EnpalAutomated planning of solar-system installations, replacing a manual quotation processSource

Also worked with

Carl Zeiss
Klöckner

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