Algosoup

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Algosoup, a Generative AI company, was founded in 2026. Headquartered in London, England, their small team focuses on Generative AI, Artificial Intelligence, Web Development, Custom Software Development, and more.

Client Insights

Industry Expertise

Financial services

20%

Gambling

20%

Media

20%

Sports

20%

Telecommunications

20%

Client Size Distribution

Midmarket ($10M - $1B) 75%

Enterprise (>$1B) 25%

Common Project Size

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Clients

This provider has not added their key clients.

Highlights from Recent Projects

Overall Rating

5.0
1 Review

Algosoup, a technology services firm, recently completed a custom software development project for Dongchu Technology, a company in the medical instruments industry. The project was initiated in an attempt to help Dongchu reduce its registration time. The team at Algosoup, comprising 2 to 5 members, took charge of the system construction, which included an NMPA route and a dossier constructor. The collaboration, which lasted from June to July 2026, was established through a family friend who recommended Algosoup for their high ratings, cost-effectiveness, and alignment with Dongchu's company values.

The collaboration proved highly successful, with Algosoup effectively building Dongchu's system. The newly constructed system comprises an NMPA route and a dossier constructor, key components required for the enduring success of the medical instruments company. The synergy between Dongchu and Algosoup facilitated seamless execution throughout the project's lifespan, from June to July 2026.

In addition to their software development services, Algosoup also provided support to Dongchu, ensuring the system's optimal functioning post-development. The selection of Algosoup as the service provider was influenced by their high industry ratings, value for cost, and congruence with Dongchu's company values. The project, overall, has shown the effective execution capabilities of Algosoup in delivering custom software solutions.

Timeliness

5.0

Service Excellence

5.0

Value

5.0

Would Recommend

5.0