$5,000+
$30 - $49 / hr
50 - 99
SMBs
Poland, Warsaw
2018
Other
Efficiency through expertise

Silk Data is a technology provider and software manufacturer founded by doctoral-level IT and engineering professionals.
Our mission is to make AI accessible to a wide range of companies.
We build innovative machine learning and NLP-based solutions fortext analytics, document management, smart personalization, and semantic-based recommendations.

We provide:
- e2e consulting
- Development services to SMEs
- AI data consulting
- ML engineering
- Web and Mobile App Development
- ​IT consulting & prototyping.

You can also hire our team and bring all your great ideas to life by outsourcing our company!

Efficiency through expertise

Techreviewer rating

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4.7

Client review platforms

The company's reputation is reflected through ratings and reviews from different review websites:

5.0
(6 reviews)GoodFirms

AI Overview

Powered bytechreviewer AI
This company performance overview is based on AI analysis of 6 client reviews across 1 review platform. Read more about our methodology.
Last updated: April 2026

Performance snapshot

Silk Data presents a consistently strong performance profile across all six reviews, with clients spanning long-term engagements in software, web, and AI development. Every review awards a perfect quality sub-rating, and recurring themes include transparent communication, solution-oriented thinking, and reliable delivery. The single recurring concern is a minor note around proactive project management, though no reviewer reported a negative outcome. The evidence base is entirely from one platform and skews toward late 2022–early 2024.

Performance breakdown

Technical expertise
Strong

Multiple reviewers cite high-quality code, cross-platform delivery (iOS, Android, desktop), and applied AI capabilities including plagiarism detection. A $200,000+ engagement highlights sustained technical depth across large, multi-sprint projects using diverse technologies.

Project management & delivery
Mixed

Most clients report deadlines met and milestones clearly communicated, with one founder noting 'clear milestones' and proactive progress. However, one CEO explicitly flagged that proactive project management 'could be improved,' preventing a fully Strong rating.

Communication & collaboration
Strong

Reviewers consistently describe communication as fluent, transparent, and inclusive, with multi-language support (English and German). A long-term CEO notes a 'comprehensive communication cadence,' and multiple founders describe feeling fully integrated into the development process.

Reliability
Strong

Clients spanning over ten years of partnership report consistent developer quality and product stability. One client notes individual developers remaining from prototype to production, reflecting strong staffing continuity and reliable long-term output.

Client satisfaction & outcomes
Strong

Outcomes include rapid AI-driven plagiarism detection for large-scale exams and robust multi-platform applications enabling clients to focus entirely on business functions. Multiple clients explicitly reference intent to continue or expand the partnership, signaling strong ROI perception.

Best for

Silk Data is best suited for mid-market to enterprise clients seeking a reliable long-term development partner for complex software, mobile, and AI projects requiring strong technical depth and transparent collaboration.

Clients info

Clients span education technology, publishing, SaaS, and professional services, primarily from German-speaking Europe. Engagements range from sub-$10,000 AI prototypes to $200,000+ long-term software development partnerships, suggesting Silk Data serves both SMEs and larger enterprises. Primary industries represented include Education Technology, Publishing & Media, SaaS / Software Products, Professional Services. Typical client size bands include Small Business (SME), Mid-Market, Enterprise. Common project budget ranges include $0 to $10,000, $50,001 to $200,000, $200,000+.

Review strength

Six reviews were analyzed from a single platform, all published between December 2022 and March 2024. While the recency is acceptable, the absence of reviews from additional platforms limits cross-validation. All reviews are within the last three years. Review date range: Dec 06, 2022 - Mar 07, 2024.

Performance breakdown

Technical expertise
Strong

Multiple reviewers cite high-quality code, cross-platform delivery (iOS, Android, desktop), and applied AI capabilities including plagiarism detection. A $200,000+ engagement highlights sustained technical depth across large, multi-sprint projects using diverse technologies.

Project management & delivery
Mixed

Most clients report deadlines met and milestones clearly communicated, with one founder noting 'clear milestones' and proactive progress. However, one CEO explicitly flagged that proactive project management 'could be improved,' preventing a fully Strong rating.

Communication & collaboration
Strong

Reviewers consistently describe communication as fluent, transparent, and inclusive, with multi-language support (English and German). A long-term CEO notes a 'comprehensive communication cadence,' and multiple founders describe feeling fully integrated into the development process.

Reliability
Strong

Clients spanning over ten years of partnership report consistent developer quality and product stability. One client notes individual developers remaining from prototype to production, reflecting strong staffing continuity and reliable long-term output.

Client satisfaction & outcomes
Strong

Outcomes include rapid AI-driven plagiarism detection for large-scale exams and robust multi-platform applications enabling clients to focus entirely on business functions. Multiple clients explicitly reference intent to continue or expand the partnership, signaling strong ROI perception.

Location and contacts

Poland, Warsaw
Domaniewska 17/19, off. 133
02-672
Germany, Krefeld
Luisenstraße 62
D-47799
+49 2151 387 3531

Major clients

ORT Medienverbund GmbH
SilkCode GmbH
Skilja GmbH
Accounting Professional Training (Pty) Ltd
Swatch
Wearonize