1.2 billion+
data points · live
+ 14 / sec
ingestion rate
Built with AI · This page was built with Claude Code
Veterinary Data Cloud

From Data to Decisions,
Powered by AI

1.2 billion clinical records, 2,000+ animal hospitals, one learnable graph. Connecting a pet's entire lifecycle through data.

KOR · GW · 1,243 casesKOR · SE · 8,902 casesKOR · BS · 3,118 casesINGEST · 412/sMODEL · ONCO-V3 · 0.94 AUCMODEL · DERM-V2 · 0.91 AUCPIPE · imaging.dicom · OKPIPE · lab.cbc · OKPIPE · rx.interactions · OKKOR · GW · 1,243 casesKOR · SE · 8,902 casesKOR · BS · 3,118 casesINGEST · 412/sMODEL · ONCO-V3 · 0.94 AUCMODEL · DERM-V2 · 0.91 AUCPIPE · imaging.dicom · OKPIPE · lab.cbc · OKPIPE · rx.interactions · OK
§02Four Pillars

One Platform, Four Core Values

INTOCNS AI operates across four pillars — from medical data infrastructure to pet owner care.

01
Medical Data
Medical Data
A single data layer that standardizes and integrates EMRs from 2,000+ animal hospitals — imaging, tests, prescriptions, and notes in one model.
1.2 billion+ records · 17 schemas
02
AI Analytics
AI Analytics
12 clinical models specialized for the veterinary domain — from imaging interpretation to disease prediction and drug interactions.
12 models · 6 modalities
03
Clinical Decision
Clinical Decision
An AI co-pilot that works within the clinical workflow, delivering inference results, rationale, and alternatives straight to the exam room.
142 ms p95 · in-chart
04
Lifecycle Healthcare
Lifecycle Healthcare
From adoption to senior care. The pet owner app and hospital EMR are connected as one pet's data.
0–15Y coverage
§03Data Network

Korea's largest veterinary data network.

Across 17 regions nationwide, 2,000+ animal hospitals are connected through the same standardized EMR. New clinical records arrive daily and flow into clinical model training after validation, anonymization, and standardization.

Animal Hospitals
2,000+
connected nodes
Regions
17
coverage
Clinical Records
1.2 billion+
cumulative EMR
Daily Intake
1.2 M
records / day
Seoul · 680Incheon · 120Suwon · 140Daejeon · 180Cheongju · 80Gwangju · 110Daegu · 220Pohang · 60Ulsan · 90Busan · 270Jeju · 50Gangneung · 40
 LIVE · 2,000+ NODES
§04Clinical AI

INTO AI - CLINICAL MODELS

An AI model portfolio running in real animal hospital practice.

Built on 20+ years of accumulated animal hospital EMR data and real clinical environments, INTOCNS develops a range of AI models — from voice-based charting to disease prediction, lab result interpretation, imaging support, and generative AI assistants. INTOCNS AI is built to be used in real clinical practice, not in the lab.

Clinical AI Models in Operation6 models

VET-VOICE-01
OPERATING
AI Voice Charting

Automatically generates SOAP-format clinical records by analyzing exam-room conversations between vet and pet owner.

TECHClinical Speech AI · Veterinary NLP
SYMPTOM-NER
OPERATING
Symptom & Finding Extraction

Automatically extracts and structures key symptoms and clinical findings from records.

TECHVeterinary NLP
DISEASE-SUGGEST
OPERATING
Disease Candidate Suggestion

Suggests likely disease candidates based on symptoms and clinical information.

TECHClinical Decision AI
RX-CHECK
OPERATING
Prescription Verification

Automatically checks for drug duplication, dosage anomalies, and interaction risks.

TECHPrescription AI
LAB-INTERPRET
OPERATING
Lab Result Interpretation

Analyzes blood and clinical pathology results to automatically flag key abnormal items.

TECHLaboratory AI
BREED-RISK
OPERATING
Breed-Specific Disease Risk Analysis

Predicts disease risk based on breed traits and real clinical data.

TECHVeterinary Big Data AI

Next-Gen AI Models in Development6 models

LIFECARE-AI
ADVANCING
Lifecycle Disease Prediction

Predicts disease risk across life stages from infancy to old age.

TECHLongitudinal AI
REVISIT-RISK
ADVANCING
Revisit Risk Prediction

Predicts revisit and churn likelihood to support more efficient patient management.

TECHPatient Journey AI
CHRONIC-RISK
ADVANCING
Chronic Disease Risk Prediction

Predicts the risk of major chronic diseases such as kidney and heart disease.

TECHLongitudinal AI
PACS-FINDING
ADVANCING
Imaging Reading Support

Detects key abnormal findings in medical images and supports interpretation.

TECHMedical Imaging AI
CARE-RECOMMEND
ADVANCING
Personalized Care Recommendation

Provides personalized health-care guidance based on clinical history and test results.

TECHPreventive AI
PET-GPT
ADVANCING
AI Clinical Assistant

Supports Q&A, visit summaries, and clinical information search based on EMR data.

TECHGenerative AI
AI Portfolio

Based on Korea's largest animal hospital EMR dataset and real clinical environments, INTOCNS is building a veterinary-specialized AI platform.

§05Already Shipping

AI already runs across the entire INTO ecosystem.

Not a newly introduced technology — these are features already used in the exam room every day.

AI · 01
AI Report
POST-VISIT REPORT
Automatically generates a pet owner-facing report that summarizes the visit and even suggests home-care steps. It can be sent the moment the visit ends.
AI · 02
Case History Summary
CASE TIMELINE SUMMARY
Compresses every visit of one pet into a single-line timeline. Even on a first visit, prior context is grasped instantly.
AI · 03
Lab Result Analysis
LAB INSIGHT
Automatically analyzes time-series trends and items of concern across blood, urine, and biochemistry tests. Out-of-range items surface first.
AI · 04
Pet Owner Guidance
OWNER GUIDANCE GEN.
Converts prescriptions and observations into pet owner-friendly language. Medication, diet, and revisit schedules are guided all at once.
AI · 05
Voice Charting
VOICE-TO-CHART
Transcribes exam-room consultation audio in real time and converts it into a structured chart, dramatically cutting documentation time.
Roadmap
AI · 06
AI Agent
AGENT ORCHESTRATION
An agent that understands clinical context and calls tools directly. Test orders, charting, and appointment changes can all be delegated in natural language.
AI · 07
Domain LLM
VETERINARY LLM
A proprietary language model fine-tuned for the veterinary domain. The same LLM powers the exam room, pet owner app, and institutional data analysis.
§06Clinical Co-Pilot

Putting AI inside the clinical workflow

AI should live inside the exam room, not outside it. It works right on top of the EMR chart, imaging viewer, and prescription input — the tools veterinarians use every day.

REAL PRODUCT SCREENSFrom voice charting to pet owner reports and business insight — the clinical flow in real product screensFIG · 06-A
01
AI · 01 · VOICE CHARTING

Voice Charting

Captures consultation audio in real time and converts it into a SOAP chart.

Voice Charting
Voice Charting
02
AI · 02 · AUTO CHART SUMMARY

Auto Chart Summary

Organizes the conversation log into a SOAP-structured medical record.

emr · chart · ai-summary
Auto Chart Summary
03
AI · 03 · LAB RESULT ANALYSIS

Lab Result Analysis

Automatically analyzes time-series trends and flagged items in blood and biochemistry tests.

emr · lab · analysis
Lab Result Analysis
04
AI · 04 · OWNER GUIDANCE

Pet Owner Guidance

Converts prescriptions and observations into pet owner-friendly guidance notes.

emr · owner · guide
Pet Owner Guidance
05
AI · 05 · HOMECARE REPORT

Homecare Report

Care continues beyond the visit through the homecare report. That continuity deepens the pet owner's trust in the clinic.

Homecare Report
Homecare Report
06
AI · 06 · CALL ANALYSIS

Call Analysis

Transcribes phone consultations and extracts the key points.

Call Analysis
07
AI · 07 · BUSINESS INSIGHT

Business Insight

Turns accumulated clinical data into sales and operations insight.

intomi · sales · analysis
Business Insight
01
Clinical Data Collection
EMR, imaging, and test data are automatically integrated into a standard schema.
02
AI Model Inference
12 clinical models return results, rationale, and alternatives within 142 ms on average.
03
Decision Support
Inference results are displayed directly on the chart, imaging viewer, and prescription screens.
§07Lifecycle Prediction

Connecting every stage of a pet's life —
LifeLog

The more data one pet accumulates, the clearer it becomes which diseases that breed is likely to face at which age. Clinical records of 18,420 dogs of the same breed predict one pet's next visit.

EXAMPLE · MALTESEDisease likelihood prediction by breed and age · based on 18,420 cumulative clinical records of the same breedFIG · 07-A
ACUTE · EARLY ONSET ↑n = 18,420 · MALTESE
Vaccine Adverse Reaction3%n=412
Patellar Luxation28%n=5,180BREED
Ophthalmic Disease18%n=3,240
Urinary Stones12%n=2,410
Periodontal Disease64%n=11,820
Heart Valve Disease42%n=7,640BREED
Chronic Kidney Disease31%n=5,910
Tumor / Cancer24%n=4,730
CHRONIC · LATE ONSET ↓ PREDICTION MODEL · v2.4
DATA BACKING18,420Cumulative Maltese clinical records210 HOSPITALS · 7 YEARS · ANONYMIZED
Training Samples24breed samples
Predicted Diseases38classes
Avg. Lifespan8.4time-series alerts
AUC0.89cross-validation
LEGEND · PREDICTION CONFIDENCE
HIGHLarge sample (n ≥ 5,000)
MEDMid-size sample (n ≥ 1,000)
LOWSmall sample (n < 1,000)
PUPPY0 – 1Y
Puppy Stage
  • Vaccination reminders
  • Patellar risk screening
  • Weight & diet guide
ADULT1 – 7Y
Adult Stage
  • Annual comprehensive checkup
  • Periodontal care
  • AI imaging screening
SENIOR7Y +
Senior Stage
  • Heart & kidney monitoring
  • Early tumor alerts
  • Palliative & pain care

The future of veterinary care
starts with data.

INTOCNS AI learns from clinical data, supports clinical decisions, and stays with pets throughout their entire lifecycle. Request a demo today.