Product Introduction
- Overview: Kelda Health is an advanced AI-driven health companion and functional medicine analysis platform designed to interpret biological data beyond standard clinical thresholds.
- Value: It empowers users to uncover the root causes of chronic symptoms by identifying discrepancies between 'clinically normal' lab results and 'optimal' physiological ranges.
Main Features
- Functional Range Analysis: Evaluates biomarkers like Ferritin, Vitamin D, and B12 against performance-optimized thresholds rather than broad laboratory averages to address sub-clinical deficiencies.
- Drug-Induced Nutrient Depletion (DIND) Engine: Automatically cross-references current medications (such as Omeprazole or Metformin) against lab results to identify specific molecular depletions affecting energy and mood.
- Multi-Vector Data Correlation: Synchronizes electronic health records (EHR), wearable device metrics (sleep, HRV), and subjective symptom tracking to identify patterns such as HPA axis dysregulation or CYP enzyme inhibition.
Problems Solved
- Challenge: The 'Normal Lab' Paradox where patients feel unwell despite their bloodwork falling within standard reference ranges.
- Audience: Individuals managing chronic conditions like Hashimoto's, PCOS, Chronic Fatigue Syndrome (CFS), or those experiencing unexplained hormonal imbalances.
- Scenario: A user experiencing hair loss despite 'normal' iron levels learns through Kelda that their Ferritin is below the 70 ng/mL threshold required for follicle health.
Unique Advantages
- Vs Competitors: Unlike generic health trackers, Kelda utilizes a proprietary database of 262M rows of molecular evidence to provide clinical-grade insights previously only available through expensive functional medicine practitioners.
- Innovation: The platform specializes in detecting complex biological interactions, such as the Folate trap, magnesium-calcium antagonism, and methylation deficiencies.
Frequently Asked Questions (FAQ)
- How does Kelda differ from a standard doctor's review? Standard labs look for disease states (pathology); Kelda analyzes biomarkers for optimal function, identifying issues long before they become clinical diagnoses.
- What kind of data can I upload to Kelda? Users can upload blood test PDFs, sync wearable data from devices like Oura or Apple Watch, and input current medication lists for comprehensive cross-analysis.
- Can Kelda identify medication side effects? Yes, Kelda specifically monitors for nutrient depletion and physiological shifts caused by medications, such as how certain drugs might inhibit thyroid conversion or deplete essential minerals.