# Predictive AGI Inc.

> Reevol Source machine-readable supplier card. Profile URL: https://source.reevol.com/en/suppliers/predictive-agi/. Locale: en.

## Profile status
- Unclaimed profile. The details below come from public business registries, trade-fair exhibitor lists and certification bodies, and have not yet been confirmed by the company itself. Fields that are absent here are unconfirmed, not negative findings.
- The company can claim this profile free at https://source.reevol.com/en/claim/predictive-agi/ to confirm and complete it.

## Identity
- Legal name (en): Predictive AGI Inc.
- Business type: unknown
- Location: Seongnam-si, South Korea
- Employee range: 4

## Industry
- Primary: Optical & Instruments
- Sub-industries: genomic analysis, digital twin, Dr. Twin AI, personalized health reports, disease risk prediction, DNA digital twin
- HS codes: 9018, 9027

## Digital footprint
- Website: https://www.predictiveagi.ai
- LinkedIn: http://www.linkedin.com/company/predictive-ai-kr

## Summary
What we know: Based in Seongnam-si, South Korea (verified by location data) Team of 4 employees (verified by team size) Operates in optical instruments and genomic analysis, with focus on AI-driven health prediction (verified by industry classification and industry tags)

What the data suggests: Medical device or laboratory equipment focus (suggested by HS codes 9018 and 9027) Digital health platform with personalized diagnostics as core offering (suggested by industry tags: genomic analysis, digital twin, disease risk prediction)

Not yet verified: Website, Certifications, Trade fairs, Export markets, Production capacity.

Verify Predictive AGI Inc. before reaching out - Reevol returns a verification brief within 24 hours.

## Provenance
- Last enriched: 2026-10-21T16:15:27.429Z
- AI content last generated: 2026-10-21T16:52:41.631Z
- Source: Reevol Source (https://source.reevol.com). Underlying data from Reevol, sourced from public business registries, trade-fair exhibitor lists, certification bodies, and digital footprint.
- License: see https://source.reevol.com/en/methodology/