EndorsedendorsedCompleted

HealthTech platform development with AI (Python, ReactJS, AWS)

Services Covered:

AI and Machine LearningCloud Consulting and ServicesCybersecurity
Project hero — replace with case study imagery
Industry
Industry

Healthcare

Duration
Duration

6 months

Budget
Budget

Confidential

Client Size
Start Date

1 June 2024

Team Size
Team Size

6-10 Employees

Engagement Model
Engagement Model

Offshore

Project Capability Score (PCS)

gauge meter
78/100
Good

Project Capability Score (PCS) estimates how capable Pace Wisdom Solutions 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

Heaps.ai

map United Arab Emirates

Project Summary

Pace Wisdom Solutions provided custom software development for a HealthTech platform (Heaps.ai), building front- and backend systems with Python, ReactJS, and AWS. The vendor developed AI-driven care-mapping logic, a real-time dashboard for hospitals and insurers, and delivered secure, compliant architecture deployed via Docker. The client reports the core modules were delivered on schedule and the platform now handles thousands of patient interactions daily.

Key Challenges

  • Scale the platform to handle large volumes of complex patient data
  • Map complex patient data to specific care paths using AI
  • Meet strict security and healthcare compliance requirements (ISO 27001)

Project Deliverables

  • AI logic to automate patient care mapping
  • Real-time dashboard for insurers and hospitals
  • Secure, compliant architecture meeting healthcare standards
  • Docker-based deployment for scalability

Project Solution

Pace Wisdom Solutions took over the engineering effort and built the backend and frontend using Python, ReactJS, and AWS. They developed AI logic to map patient care paths, built a real-time dashboard for insurers and hospitals, ensured the architecture met healthcare security and compliance requirements (including ISO 27001 considerations), and deployed the system using Docker to enable scalability.

Project Outcome

  • Delivered core modules within the six-month timeline
  • Platform now handles thousands of patient interactions daily without performance issues
  • Clients (hospitals/insurers) report the dashboard is highly intuitive

Platforms

  • AI/ML PlatformAI/ML Platform
  • CloudCloud
  • WebWeb

Tech Stack

  • PythonPython
  • React.jsReact.js
  • Amazon Web Services (AWS)Amazon Web Services (AWS)
  • DockerDocker

Client Endorsement

Overall Review Rating

5star5 out of 5 stars

Timeliness

Cost Rating

Willing to Refer

Quality of Deliverables

Pace Wisdom Solutions delivered the core modules within the timeline. As a result, the client's platform scaled significantly and could now handle thousands of patient interactions daily without performance issues. The team's knowledge and technical expertise were key to the project's success.

Avinash N.

Head of Engineering & IT

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

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