Muttdata

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Muttdata is an AI firm. Established in 2018, the midsize firm is headquartered in Montevideo, Uruguay and Buenos Aires, Argentina. Their team offers Artificial Intelligence, BI & big data consulting & SI, Generative AI, IT strategy consulting, and more.

Client Insights

Industry Expertise

Advertising & marketing

25%

Financial services

20%

eCommerce

20%

Gaming

15%

Medical

10%

Telecommunications

10%

Client Size Distribution

Small Business (<$10M) 10%

Midmarket ($10M - $1B) 60%

Enterprise (>$1B) 30%

Common Project Size

$50K-$199K 6 projects

$200K-$999K 4 projects

$10K-$49K 1 project

Clients

This provider has not added their key clients.

Highlights from Recent Projects

Overall Rating

4.9
16 Reviews

Muttdata was hired by Bombo, a company revolutionizing the music industry with blockchain and NFT technology, to develop a recommendation system for the platform. Despite the challenge of limited data, Muttdata successfully designed and implemented the system, along with a social media newsfeed. They also created a robust foundation for data collection, filtering, and consolidation, providing a comprehensive view of the customer and KPI dashboards. The project was completed by a team of 6-10 employees and was received positively by the client.

Muttdata worked with Clip, a leading financial ecosystem in Mexico, to strengthen their data replication system and restructure their data modeling. The project involved a comprehensive survey of Clip's data handling, consolidation, modeling, and architecture to find a tailored solution for their needs. The client appreciated Muttdata's approach of not providing a canned solution, but a solution specific to their needs. The project, involving 2-5 employees, was deemed successful by the client.

RapidSOS, a safety platform, engaged Muttdata to modernize their data platform. The goal was to improve data freshness, operational efficiency, and governance while laying the foundation for future AI-driven innovation. Muttdata delivered by leading a complete modernization of RapidSOS's data infrastructure. This included redesigning ingestion pipelines, implementing real-time data quality checks, governance protocols, and cost optimizations through compute right-sizing and cluster policies. The project was completed by a team of 2-5 employees and was positively reviewed by the client.

Timeliness

4.8

Service Excellence

4.9

Value

4.6

Would Recommend

4.9

Awards

113132

2024

113112

2024

56802

2023

56900

2023