dida Datenschmiede is a Berlin-based machine learning software company founded in 2018 that develops tailor-made AI applications for process automation, specializing in Machine Vision and Natural Language Processing.
dida Datenschmiede is a Berlin-based AI and machine learning software company that describes its offering as tailor-made AI software for process automation. Founded in 2018, the agency develops machine learning software end-to-end, starting with the identification of concrete business challenges and continuing through project planning, implementation, and deployment.
The company has fewer than 49 employees and does not publish a minimum budget or hourly rate, so prospective clients must inquire for project quotes. Its headquarters are at Hauptstr. 8 (Meisenbach Höfe, Aufgang 3a), Berlin, Germany, and its DesignRush profile was unclaimed at the time of listing.
dida Datenschmiede builds AI-powered software to automate internal processes and positions itself as a partner for process automation. The team operates at the intersection of mathematics and computer science, with specialized expertise in Machine Vision and Natural Language Processing projects, and lists AI Development as its primary service category.
The agency's stated client base spans the agriculture, banking, and insurance industries. The DesignRush profile does not include a detailed portfolio or published case-study results.
The company holds a 5.0 Google rating from 41 reviews. Three of the four displayed reviews award 5.0 and praise the work culture, approachable employees, and employee-friendly treatment, including one former employee who received a departure bonus. The remaining displayed review, at 1.0, reports that company representatives missed an interview and did not apologize afterward.
Services
- AI Development
- Machine Learning Software Development
- Process Automation
- Machine Vision
- Natural Language Processing
Industries Served
Team Size
Pros
- Develops machine learning software end-to-end, from challenge identification through planning, implementation, and deployment
- Google reviewers praise the work culture as fantastic with approachable and congenial employees
- Employee-friendly practices, including paying a departing employee a bonus and thanking them for good work
Cons
- One reviewer reported that the company missed an interview and never apologized
Client Review Analysis
Strongly positive on Google at 5.0 from 41 reviews; reviewers highlight a fantastic work culture and employee-friendly treatment, with a single 1.0 review citing a missed interview without apology.