Revolutionizing Cardiac Health with AI

AI-Powered Cardiac
Diagnostic System

AI4Cardio combines ECG analysis, blood tests, and patient history through a multi-agent AI system to deliver comprehensive cardiac diagnostics. Schema-enforced logic prevents hallucinations, edge deployment ensures privacy, and evidence-based reasoning builds trust.

Multi-Agent Diagnostic System

How AI4Cardio Works

Three-stage intelligent analysis for comprehensive cardiac diagnostics

STAGE 1: Data Collection
ECG Scan • Blood Tests • Patient EHR
STAGE 2: AI Processing
Multi-Agent Analysis
STAGE 3: Report Generated
Diagnosis • Risks • Diet • Treatment
71
Cardiac Features
Detected from ECG
100%
Privacy-First
Offline capable
<5min
Analysis Time
Comprehensive report

Our Journey

From competitions to groundbreaking research - building trustworthy AI step by step

2021

OpenCV AI Competition Winner

Won regional OpenCV AI competition, demonstrating excellence in computer vision and AI applications.

2022

Nvidia Inception & Research Begins

Selected for Nvidia Inception Program and initiated foundational research on hallucination detection and trustworthy AI systems.

BREAKTHROUGH
2024

Research Breakthrough

Developed world's first projection-based hallucination detection model, achieving 74% detection rate. Released offline ConvAI Dashboard.

2025

Major Publications & PyPI Release

Published research papers on arXiv and released HalluNox and ConvAI-Innovations on PyPI, empowering developers worldwide with trustworthy AI tools.

2025

Growing Community

Building a community of AI practitioners focused on transparency, trust, and foundational understanding.

Research Publications

Exploring the frontiers of AI with groundbreaking research in LLM reliability, conversational AI, and healthcare applications.

High-Accuracy ECG Image Interpretation for AI4Cardio

Parameter-Efficient LoRA Fine-Tuning with Multimodal LLaMA 3.2 - Published in BMJ Digital Health

By Nandakishor M, Anjali M

Published in BMJ Digital Health
Identified over 71 cardiac features
Core technology powering AI4Cardio system
Read Paper

Confidence-Aware Routing for Large Language Model Reliability Enhancement

A Multi-Signal Approach to Pre-Generation Hallucination Mitigation

By Nandakishor M

Improved hallucination detection from 0.42 to 0.74
Reduced computational costs by 40%
F1 score increased from 0.61 to 0.82
Read Paper

Continuous Learning Conversational AI

A Personalized Agent Framework via A2C Reinforcement Learning

By Nandakishor M, Anjali M

Dynamic personalized conversational AI
A2C reinforcement learning integration
Continuous learning capabilities
Read Paper

About Us

Revolutionizing Cardiac Health with AI

ConvAI Innovations is pioneering AI-powered cardiac diagnostics through our AI4Cardio multi-agent system. We combine ECG analysis, blood tests, and patient history to deliver comprehensive, evidence-based cardiac reports. Our research in hallucination detection and schema-enforced AI ensures trustworthy healthcare solutions.

AI4Cardio Multi-Agent Cardiac Diagnostic System
BMJ Digital Health Published Research
71 Features ECG Analysis

Incubated & Accelerating

ConvAI Innovations is currently accelerating under INEST Incubator at Dr. Moopan's Medical College, empowering healthcare-focused AI innovation.

Our Leadership

Nandakishor M

Nandakishor M

Founder & CEO

5+ years of experience in AI/ML, generative models, and vision-language systems, with 20,000+ hours of hands-on work building foundational AI models from scratch. Expert in custom LLM/VLM development, not relying on APIs like OpenAI or Anthropic.

Custom LLM & VLM Development
LoRA Fine-tuning & Quantization
RAG, Reinforcement Learning (A2C, PPO)
PyTorch, TensorFlow, EC2 Deployment
Connect on LinkedIn
Dr. Anjali M

Dr. Anjali M

Co-Founder & Chief Research Officer (CRO)

MBBS graduate from Government Villupuram Medical College, MD in Community and Family Medicine from AIIMS Rishikesh. She bridges the gap between medical science and AI development at ConvAI Innovations.

Clinical Research Lead for Ai4Cardio
AI Model Validation & Medical Logic Design
ECG Interpretation & Dataset Annotation
Medical Institution Collaborations
Connect on LinkedIn

Get in Touch

Have questions about our research or interested in collaboration? We'd love to hear from you.

Address

Convai Innovations Pvt. Ltd.
Kerala Startup Mission Office
ASAP Community Skill Park
Kasaragod

Working Hours

Monday - Friday
10:00 AM - 6:00 PM