Case 01 · Data + AI Agents

Unified Data Platform & AI-Powered Clinical Workflows

Wellness Platform · $300M+ raised

RAGMulti-agentVector DBLLMsEvals
Prep time reduction
85%
Prep time reduction
Data sources unified
8+
Data sources unified
Active users (food scoring)
3,000+
Active users (food scoring)

The challenge

A wellness platform connects users with therapists, nutritionists, and wellness experts, capturing rich behavioral and health data across appointment history, post-visit questionnaires, periodic surveys, food intake logs, and wearable signals. That data lived in disconnected systems, making it impossible to give clinicians a unified view of the patient at the point of care.

What we built

Data systems audit & strategy

Assessed the current architecture across multiple applications and databases. Identified the fragmentation, prioritized integrations, and laid out the path to a unified patient view.

Multi-agent pre-appointment summary system

Built an agentic system that ingests fragmented data (questionnaires, health metrics, appointment history) and generates a personalized clinician-facing summary before each visit.

Semantic search for health content

Developed a retrieval system over the platform's extensive content library so users and clinicians could find relevant information by meaning, not keywords.

AI-powered food scoring system

LLM-based system that analyzes food plate photos and generates personalized nutrition scores in real time.

Results

  • Pre-appointment prep time reduced from 10-15 minutes to under 2 minutes
  • Unified patient view across 8+ data sources
  • 3,000+ users actively using food scoring, growing month-on-month

Services that built this

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