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Khalisa AI Wellness Platform for Evia Wellness

Services Covered:

AI and Machine Learning • Mobile Application Development • Product Design
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Industry
Industry

Healthcare

Duration
Duration

4 months

Budget
Budget

50K - 199K

Start Date
Start Date

1 February 2026

Team Size
Team Size

6-10

Engagement Model
Engagement Model

Offshore

Project Capability Score (PCS)

gauge meter
80/100
Strong

Project Capability Score (PCS) estimates how capable Bitsol Technologies 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

Evia Wellness

mapVienna, United States of America

Project Summary

Bitsol built a HIPAA-aligned, cycle-aware AI wellness platform (Khalisa™) for Evia Wellness, delivering a mobile app, clinician review portal, backend, AI prediction engine, and AWS deployment. The project included a functional prototype and an MVP with onboarding, symptom tracking, wearable and lab integrations, and clinician-in-the-loop workflows. The beta launched with a first cohort of active users who received daily AI-predicted symptom forecasts personalized to cycle, wearable, and lab data. The prototype and MVP were delivered on time and the team was responsive throughout.

Key Challenges

  • Build a HIPAA-compliant AI wellness platform for women's hormonal health
  • Aggregate wearable, lab, health record, and symptom data for day-level predictions
  • Deliver personalized daily AI symptom forecasts integrated with clinical review
  • Implement a clinician-in-the-loop approval workflow with safety guardrails

Project Deliverables

  • Functional prototype (onboarding, symptom tracking, cycle logging)
  • Mobile app (iOS and Android)
  • Clinician review portal with approve/reject workflow
  • Node.js/NestJS backend
  • PostgreSQL-based health graph
  • AI prediction engine (Claude Sonnet integration)
  • Wearable integrations and lab PDF upload
  • Safety guardrails and immutable audit logging
  • AWS deployment across Dev, Stage, and Production

Project Solution

Bitsol delivered a full-stack, HIPAA-aligned, cycle-aware AI wellness platform called Khalisa. In Phase 1 they built a functional prototype with onboarding, symptom tracking, cycle logging, wearable integrations, lab PDF upload, AI-assisted day-level predictions, and a clinician portal with approve/reject rationale workflow. In Phase 2 they developed a production-grade mobile app (iOS and Android), a full clinician review portal, and a Node.js backend with PostgreSQL health-graph architecture. They integrated an AI prediction engine (Claude Sonnet) with PubMed/OpenFDA verification, implemented safety guardrails and immutable audit logging, and deployed the system to AWS across Dev, Stage, and Production environments.

Project Outcome

  • Beta launched with a first cohort of active users
  • Users receive daily AI-predicted symptom forecasts personalized to cycle, wearable, and lab data
  • Prototype and MVP delivered on time with responsive, transparent project management

Platforms

  • MobileMobile
  • WebWeb
  • CloudCloud

Tech Stack

  • Node.jsNode.js
  • PostgreSQLPostgreSQL
  • iOSiOS
  • AndroidAndroid
  • Amazon Web Services (AWS)Amazon Web Services (AWS)

Client Endorsement

Overall Review Rating

5star

Timeliness

Cost Rating

Willing to Refer

Quality of Deliverables

“Bitsol helped the client launch the beta, and the end client used the platform. The end client received daily AI symptom forecasts from cycle, wearable, and lab data, replacing guesswork with guided care. The team delivered the prototype and MVP on time and was very responsive.”

Rangena Hotaki

Founder

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

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