NutaNXT Technologies
visit site- $10,000+
- 10 - 49 employees
- Santa Clara, CA
NutaNXT Technologies is a small business intelligence company. Established in 2017, the agency is in Santa Clara, California and Pune, India. Their services include BI & big data consulting & SI, Artificial Intelligence, cloud consulting & SI, custom software development, and more.
Client Insights
Industry Expertise
20%
20%
10%
10%
10%
10%
10%
10%
Client Size Distribution
Small Business (<$10M) 30%
Midmarket ($10M - $1B) 40%
Enterprise (>$1B) 30%
Common Project Size
<$10K 1 project
$10K-$49K 1 project
Clients
This provider has not added their key clients.
Highlights from Recent Projects
NutaNXT Technologies was hired by a data-driven enterprise audio platform to assist with the initial aspects of product experience design and MVP stages. The vendor was chosen for their strong product design and data analytics expertise, as well as their mobile and web application development skills. They started at the ideation and design phase, refining and validating the product idea and building a proof of concept. The team, consisting of a UI/UX designer, full stack backend developer, and senior technical staff, used Angular.js, React.js, Python Flask, and Node.js to build the product. They also brought in critical machine learning and data analytics experience to fast track the product build. The team met aggressive deadlines, adapted to the company's culture and core objectives, and worked effectively remotely. The CEO was very satisfied with the engagement and expressed a willingness to work with NutaNXT on future projects.
NutaNXT Technologies was also hired by a health-tech division of a large financial conglomerate to develop an image quality assessment and error prediction solution for visual media based on AI-ML algorithms. The goal was to create a scalable process for image quality assessment and scoring, and to automate accept and reject criteria. NutaNXT was chosen for their small but experienced team, their ability to deliver quickly, and their prior experience on this use case. They developed an image/picture quality API solution using an AI-ML approach to assess visual media quality, image score, and rejection-based classification of the visual media. This has helped the company improve the image quality of their health providers on the application. The project was carried out by a senior AI/ML lead and two developers. The Technology Head was pleased with the quick delivery and the improvement in image quality.