Three-Step
AI solutions
for Healthcare

AI applications in Healthcare

Clinical Decision Support & Documentation

AI-driven recommendations and automated summaries to enhance decisions and reduce administrative tasks.

Patient Engagement & Communication

AI virtual assistants for better patient interaction, streamlined scheduling, and personalized health information.

Internal Operations & Policy Management

Automate policy retrieval and streamline processes for quick access to vital information.

Advanced Healthcare Analytics & Data Insights

Gain predictive insights and query your data with Natural Language for optimized outcomes.

Our approach

Discovery
phase

Initial Setup

Choose the AI model

POC

Task adaptation
and solution design

Choose and pretrain the AI model

Create prompts for the AI system

Fine-tune the AI model

Learn from human feedback

Evaluate AI performance

Implementation & integration

Deploy and optimize the model

Build applications based on AI language models

Alexey Litvin | CEO

Trusted by:

Our case study

Deploying a local LLM aka ChatGPT for the enhanced workflow

SHOW DETAILS

MAIN CHALLENGES

Data privacy concerns

High costs for cloud LLM

Lack of quality responses

Right dataset preparation

WHAT WE DID

Deployed a private LLM Llama-3 using Python and PyTorch.

Enhanced AI sentiment analysis tool for better output quality.

Ensured data privacy by keeping processing local.

Prepared and integrated dataset with bad and good responses for fine-tuning.

RESULTS

Improved Response Quality: Achieved a quality score of 382 for Llama-3:8b tuned.

Cost Efficiency: Reduced processing cost to $0.005 per 1,000 tokens.

Enhanced Performance: Configured 8 billion parameters for complex responses.

GreenM: Leading Healthcare innovation with AI expertise

AWS certified

Azure OpenAI

AI House

Global AI community

Meta AI

Years experience in Healthcare domain

Department focused on AI research

Team

Anton
Avramenko

Lead of AI Research

Vitalii
Samarskyi

Solution Architect

Lena
Kirienko

Head of Product

Alexey
Litvin

CEO, Founder