A fast-growing healthtech startup partnered with Sparity to transform nutrition management using Agentic AI, creating a multi-lingual platform that combines AI-generated personalized meal plans with human dietitian oversight. Built with MongoDB, FastAPI, LangChain, and GPT/Claude models, the solution features automated follow-ups, medical data extraction, and supervisor-worker agent architecture for scalable client management. The platform delivered a **2x productivity gain** for dietitians while enabling personalized, compliant nutrition care across multiple regions—positioning the client as an industry pioneer in AI-driven healthcare nutrition solutions.
Client: Healthtech Startup
Services: Agentic AI
Year: 2025
Client Overview-
Our client, a fast-growing healthcare technology startup, wanted to transform meal plans and nutrition management through a platform that combines human expertise with AI. Their vision was to empower dietitians with scalable, intelligent tools while delivering highly personalized meal plans and health insights to clients across languages and regions.
Table of Contents
Project Objectives
- Build a scalable, multi-tenant solution for dietitians to manage clients efficiently.
- Embed GenAI and agentic orchestration to personalize meal plans with human-in-the-loop oversight.
- Enable structured medical data extraction from reports via image-to-text processing.
- Ensure security, auditability, and compliance across all data and workflows.
- Develop an AI-based platform to enable dietitians to develop personalized nutrition plans.
- Enable multi-lingual, multi-tenant usage for scalable client management.
- Automated follow-ups, progress tracking, and notifications.
- Ensure data security, compliance, and transparency.
Technology Stack:
- MongoDB – FastAPI – LangChain + LangGraph –React –Twilio – AI Models – GPT – Claude
Solution
We adopted a modular, agentic AI-driven architecture that blends orchestration, automation, and compliance. The platform was developed in an agile, iterative approach, with a focus on transparency and scalability.
- Built a multi-lingual, client-facing app that streamlines onboarding via SMS links, questionnaires, and AI-powered recommendations.
- Integrated event-driven workflows for notifications, follow-ups, and audit-logging to ensure accountability and improve client engagement.
- Designed a supervisor–Worker Agent architecture to intelligently route requests (fetching data, generating test scenarios and test cases or updating health targets) with role-based access control and tenant isolation.
- Implemented an AI Co-Pilot framework where dietitians guide and validate AI-generated nutrition plans, ensuring both personalization and accuracy.
- Ensured compliance-first design with immutable audit receipts, PHI redaction, and explicit confirmation for sensitive updates.
Impact & Benefits
- Dietitians manage multiple clients efficiently, delivering personalized care.
- Clients receive AI-driven meal plans that can be reviewed, swapped, and tracked in real time.
- Transparent workflows ensure secure, compliant, and scalable operations.
- Multi-lingual, multi-tenant architecture supports expansion across regions.
- Enabled dietitians to scale operations, with visibility into every client interaction and AI-assisted recommendations.
- Empowered clients with personalized, flexible meal plans that adapt to their health data and preferences.
- Achieved a 2x productivity gain for dietitians through AI Co-Pilot meal plans and automated follow-ups.
- Positioned the client as an industry pioneer in AI-driven healthcare nutrition solutions.
Key Highlight:
By combining AI intelligence with human expertise, the system enables precision, scalability, and measurable health outcomes-delivering the future of nutrition management today.
