Clavis Technologies
visit site- $5,000+
- 50 - 249 employees
- India
Clavis Technologies is a software agency located in Noida, India. Since 2011, their team of 43 has been specializing in custom software, mobile app, e-commerce development, and more for small and mid-sized businesses alike.
Client Insights
Industry Expertise
35%
10%
10%
5%
5%
5%
5%
5%
5%
Client Size Distribution
Small Business (<$10M) 40%
Midmarket ($10M - $1B) 40%
Enterprise (>$1B) 20%
Common Project Size
$10K-$49K 3 projects
$50K-$199K 3 projects
<$10K 1 project
Clients
- Deloitte
Highlights from Recent Projects
Clavis Technologies was hired by BarDog, a technology company that provides inventory control management to the hospitality industry. The project involved the development and testing of the BarDog application, which aimed to digitize traditionally analog processes in hospitality venues, and streamline their inventory and ordering systems. The team, composed of developers, testers, and a project manager, was recommended through a referral and was chosen due to their satisfactory work with other startups. The work was only restricted to development and testing, excluding marketing.
For the Indian School of Business, Clavis Technologies was hired to manage multiple properties and documents. The goal was to reduce the time taken and increase transparency in property management. Clavis Technologies proposed a system to automate document handling and calculations, thus reducing manual efforts. The team, including a project manager, test engineers, developers, and a user experience designer, was selected due to their understanding of the client's needs and problem-solving capabilities.
A major medical software and design firm hired Clavis Technologies for digitizing medical records and building predictive models for disease risk. The vendor was chosen due to their knowledge of AI and experience in big data, profiling, and predictive forecasting. The system created by Clavis Technologies helped in analyzing trends and creating projections based on the data. The team, composed of data scientists, developers, QA, a project manager, and a designer, worked together to deliver this project.