Jointworks Solutions LLP
visit site- $10,000+
- 10 - 49 employees
- Pune, India
DeeplogiX Technologies Pvt. Ltd., an AI firm, was established in 2018. Their midsize team is based in Los Angeles, Northern Mariana Islands and Los Angeles, California. Their services include Artificial Intelligence, AR/VR development, blockchain, and mobile app development.
Client Insights
Industry Expertise
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Client Size Distribution
Small Business (<$10M) 60%
Midmarket ($10M - $1B) 30%
Enterprise (>$1B) 10%
Common Project Size
$50K-$199K 3 projects
$10K-$49K 2 projects
$200K-$999K 1 project
Clients
This provider has not added their key clients.
Highlights from Recent Projects
Jointworks Solutions LLP successfully developed a Geographic Information System for an IT and Digital Consultancy Company. The system was integrated with a machine that measures air quality and the application collects, analyzes and maps this data. The project was completed with a team of eight members, including structure analysts, JavaScript developers, Java implementors, UI/UX designers, and an API integration specialist. The collaboration lasted from August 2018 to March 2020, with an investment of $56,000.
Jointworks Solutions LLP was hired by Kweeke, an e-commerce solution for the food and beverage industry, to speed up the development of their platform. The previous company had been slow and delivered a faulty demo. Jointworks was referred to Kweeke and they delivered a high-quality product in an efficient time. They completely redeveloped the application from scratch, resulting in a final application-based product and web-based platforms for the merchants and admin function.
A media and offline retail company hired Jointworks Solutions LLP for web application development. The company had developed a computer vision solution to make offline shopper interactions within retail stores interactive, while capturing shopper behavior and movements. Jointworks was selected because they could successfully deliver a proof of concept in the shortest period. The project involved a computer vision-based object segmentation/recognition from which a retail interaction could be derived. The project was completed ahead of schedule, thanks to their in-house team of machine learning engineers and extensive hardware for rigorous testing.