SplineAI Generative AI — Products & Services

iSNOMED
AI Copilot for Clinical Coding

A Generative AI assistant that reads medical reports to generate matching SNOMED CT concepts, ICD-10-CM codes, clinical explanations, and hierarchical views of patient records — in under 3 seconds.

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2–5 Min
Time Saved Per Outpatient
📋
30–60 Min
Saved Per Discharge Summary
< 3 sec
Real-Time Coding Output
🎯
> 97%
Accuracy on 1–3 Line Reports
Product Overview

What iSNOMED Does

An AI copilot that reads medical reports to generate matching SNOMED CT concepts, ICD-10-CM codes, explanations, and hierarchical views of clinical records.

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SNOMED & ICD-10-CM Code Mapping

Accurately extract SNOMED CT concepts and ICD-10-CM codes directly from free-text medical reports using Generative AI.

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Multi-Ontology Code Translation

Map between RxNorm, MedDRA, ICD-11, ICD-O, LOINC, and SNOMED CT — all in a single unified pipeline.

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Large-Scale Medical Data Conversion

Convert entire medical data corpora to SNOMED CT and other standardized coding systems at enterprise scale.

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Cohort Partitioning for Clinical Research

Automatically classify and partition clinical research datasets into cohorts using SNOMED CT semantic tags.

SNOMED / ICD-10-CM Generation SaaS

Secure API Access

Accessible via Desktop application and secure API call to Azure Server. Login credentials and SaaS IP address provided on request.

Example API Call
curl -b cookies.txt -X POST \
  https://api.spline.ai/analyze_report_text \
  -H "Content-Type: application/json" \
  -d '{
    "medical_report": "Increasing fetal stress was noted during labor. The patient was transferred to the surgical suite where a classic cesarean delivery was performed. A full-term normal male was delivered at 38 weeks."
  }'
Generated SNOMED CT Codes
199597005Cesarean delivery
7996008Fetal distress
288274003Surgical transfer
1268666006Full-term delivery
13798002Labor complication
84195007Normal male neonate
Generated ICD-10-CM Code
O82

Encounter for cesarean delivery

without indication — ICD-10-CM O82

Relationship Graph — SNOMED Semantic Tags
Clinical FindingProcedureObservable EntityBody StructureSituation
Generative AI Tech Stack

Powered by State-of-the-Art AI

Built on the latest vision and reasoning LLMs, deployed on enterprise-grade GPU infrastructure with optional Azure Co-Pilot integration.

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Llama 4
Vision & Reasoning LLM
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Qwen 3
Vision & Reasoning LLM
🔍
DeepSeek
Vision & Reasoning LLM
🖥
NVIDIA Ada 6000
On-Premise GPU
⚙️
A100
On-Premise GPU
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Radeon PRO W7900
On-Premise GPU
☁️
Azure Co-Pilot
Cloud Deployment
🎛
Custom Fine-Tuning
Model Adaptation
SplineAI Partnerships

Trusted by Industry Leaders

We partner with the world's leading technology companies to deliver enterprise-grade AI healthcare solutions.

Azure Startup PartnerAzure Startup Partner
IBM WatsonX Partner PlusIBM WatsonX Partner Plus
Meta PartnerMeta Partner
Google Gen AI PartnerGoogle Gen AI Partner
Google FHIR API PartnerGoogle FHIR API Partner
NVIDIA Inception MemberNVIDIA Inception Member
AMD Gen AI PartnershipAMD Gen AI Partnership
Wide Scope of Applications

SNOMED CT Across Healthcare

From outpatient coding to large-scale clinical research, iSNOMED adapts to every healthcare workflow.

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Outpatient Coding

Reduce per-patient coding time by 2–5 minutes with real-time SNOMED CT and ICD-10-CM generation from clinical notes.

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Discharge Summary Automation

Save 30–60 minutes per discharge summary with AI-driven code extraction and explanation generation.

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Clinical Research Cohorts

Map large clinical research datasets to SNOMED CT for automated cohort classification and partitioning.

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EHR Integration

Seamlessly integrate with Electronic Health Record systems via secure REST API and Azure Co-Pilot deployment.

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Multi-System Code Mapping

Translate between SNOMED CT, RxNorm, MedDRA, ICD-11, ICD-O, and LOINC in a single unified API call.

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On-Premise Deployment

Deploy on your own NVIDIA or AMD GPU infrastructure for maximum data privacy and compliance.

SplineAI Team

Meet the Founders

Mr. Syed Abid Hussain

Mr. Syed Abid Hussain

Founder & CTO

PhD, IIT Kharagpur

hsyed@spline.ai
Syed Hamza Hussain

Syed Hamza Hussain

Founder & Director

SplineAI Tech Pvt Ltd

hamza@spline.ai

Ready to Automate
Clinical Coding?

Contact us to receive your login credentials, SaaS IP address, and API documentation. Fine-tuning on your dataset available on request.

+91 98458 69899hsyed@spline.ai301/10 Regal Haven, Richards Town, Bangalore-560005