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CATOS-AI Cloud Application Development for Sostos Inc

Services Covered:

API Development • Custom Software Development • UI/UX Design
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Industry
Industry

Information Technology

Duration
Duration

8 months

Budget
Budget

10K - 49K

Start Date
Start Date

1 January 2024

Team Size
Team Size

1-5

Engagement Model
Engagement Model

Offshore

Project Capability Score (PCS)

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81/100
Strong

Project Capability Score (PCS) estimates how capable Mantra Labs is of successfully delivering a project like this, based on its past experience, track record, and ability to handle similar work. Learn more about PCS

Client

Sostos Inc

mapMorgantown, United States of America

Project Summary

Mantra Labs developed a commercial cloud-based application (CATOS-AI) for an AI-powered SaaS company, implementing a MySQL backend and a GUI for oncologists to explore potential repositioning drugs. The software was delivered on time, tested successfully with the client's data, and provided at a reasonable cost.

Key Challenges

  • Develop a commercial cloud-based application of CATOS-AI as a repository of repositioning drugs discovered using the client's AI technology

Project Deliverables

  • MySQL backend database for the CATOS-AI application
  • Graphical user interface for oncologists to browse potential repositioning drugs

Project Solution

Mantra Labs implemented a backend database in MySQL and developed a graphical user interface for oncologists to browse potential repositioning drugs. The vendor delivered the cloud-based commercial application (CATOS-AI) and provided project communication via virtual meetings.

Project Outcome

  • Successfully tested backend and frontend functionality using the client's own data
  • Delivered the software on time
  • Provided a cost-effective solution that met the client's needs

Platforms

  • CloudCloud
  • SaaSSaaS

Tech Stack

  • MySQLMySQL

Client Endorsement

Overall Review Rating

5star

Timeliness

Cost Rating

Willing to Refer

Quality of Deliverables

“Mantra Labs delivered the software on time. The client tested the functions of the database's front- and backend using their data, and the results demonstrated success. Moreover, the team provided their services at a reasonable rate and communicated through online meetings.”

Nancy Lan Guo, Ph.D.

CEO

Note: This endorsement is based on publicly available client feedback from external review sources.

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