Aslase
visit site- $1,000+
- 10 - 49 employees
- Columbus, OH
Client Insights
Industry Expertise
30%
25%
10%
10%
10%
5%
5%
5%
Client Size Distribution
Small Business (<$10M) 25%
Midmarket ($10M - $1B) 50%
Enterprise (>$1B) 25%
Common Project Size
$10,000,000m+ 3 projects
Clients
- Microsoft
Highlights from Recent Projects
Aslase was hired by a Human Capital Management Company to manage all aspects of software development. This included backend APIs, cloud infrastructure, database management, and website front-end application. The selection of Aslase was based on their technical background, field expertise, and experience in providing similar services. The project was conducted using agile methodology, starting with flowcharts, mockup designs, and then developing an MVP. The team from Aslase included a program manager, 3 Doctors for Machine Learning and AI, 1 Doctor for IoT, 5 electronics engineers, 5 full stack web developers, and 1 devOps expert. The project was successful, with tangible progress reported each week.
An IoT Business Firm hired Aslase to develop a Machine Learning and AI-based fitness band for cattle and a web portal to display its findings. The vendor was selected based on industry recommendations and their ability to meet tight deadlines and cost estimations. The project was conducted using agile methodology, with the development of flowcharts, mockup designs, and an MVP. The team included a program manager, 3 PhDs for Machine Learning and AI, 1 PhD for IoT, 5 electronics engineers, 5 full stack web developers, and 1 devops engineer. The project was a success, with tangible progress made each week.
Aslase was hired by a Software Development Company to develop a web portal with Machine Learning and AI components. The vendor was selected based on industry referrals, their team, deadlines, cost estimation, and past projects. The project was conducted using agile practices, with the development of flowcharts, mockup designs, and an MVP. The team included a program manager, 2 PhDs for Machine Learning and AI, 5 full stack web developers, and 1 devOps engineer. The project was successful, with tangible progress reported each week.