IDATHA
visit site- Undisclosed
- 10 - 49 employees
- Montevideo, Uruguay
Established in 2014, IDATHA is a small artificial intelligence development company. Their services include Artificial Intelligence. The company is located in Montevideo, Uruguay; Medellín, Colombia and New York, New York.
Client Insights
Industry Expertise
30%
20%
10%
10%
10%
10%
10%
Client Size Distribution
Small Business (<$10M) 10%
Midmarket ($10M - $1B) 30%
Enterprise (>$1B) 60%
Common Project Size
$10K-$49K 2 projects
$50K-$199K 2 projects
Clients
This provider has not added their key clients.
Highlights from Recent Projects
IDATHA was hired by the company DealMaker to develop a classification funding model using machine learning. The project aimed to predict where investors will proceed with their investment. IDATHA demonstrated strong expertise and professionalism, working closely with the internal team to develop the model. They also implemented a microservice that contained the model. The team consisted of a Machine Learning engineer and a Data Science Engineer. The client appreciated IDATHA's transparency, skills, and knowledge in machine learning and data science.
In a project with a FinTech platform, IDATHA provided staff augmentation services to assist with the company's core application and microservices. They integrated fully into the organization, providing engineers for in-house teams and focusing on increasing efficiency to drive the scalability of the product offerings. The team, which consisted of a technical lead, an ML specialist, and a junior developer, was praised for their expertise, professionalism, and responsiveness. The partnership started in February 2022 and is ongoing.
IDATHA worked with the digital design agency, Critical Mass, to build an artificial intelligence technical proof of concept. The project aimed to detect walls, ceilings, and floors within images and allow a user to digitally recolor entire segments. IDATHA created a functioning proof of concept for an application that allows users to upload a picture of their interior and recolor certain walls and ceilings with a selection of paint colors. They were commended for their transparency, openness to input, and expertise in machine learning. The team consisted of a machine learning engineer and a project manager.
Timeliness
Service Excellence
Value
Would Recommend
Awards
2023