Our Models & Solutions

Domain specific models and versatile solutions that empower innovations in healthcare delivery, research and education.

VeeMed - AI model for primary care

A sophisticated and optimized artificial intelligence model built upon diverse datasets of medical literature, clinical information and other healthcare-related sources. Meticulously trained to comprehend complex medical concepts, terminologies, and nuances.

  • Healthcare Excellence, trained with domain specific datasets
  • Engineered for optimum speed and efficiency
  • Trusted copilot assistant to heathcare professionals
  • Enterprise ready, easy integration into healthcare workflow via seamless APIs
Learn more on API calls ->
Sample Node.js code:
// Apply for your API Key
// Calling API from client side
const api_key = process.env.ENTERPRISE_VeeMed_API_KEY
const post_query = async() => {                                                                                                                           
	const query_response = await fetch(`https://veby.ai/api/enterprise/VeeMed`, {          
		method: 'POST',
		headers: new Headers({ 'Content-Type': 'application/json',
							'x-api-key': apikey }),
		body: JSON.stringify({ query })
	});
}	
	

VeeRx - LLM model for medication

A state-of-the-art language model specifically engineered to support pharmacists, nurses and physicians in their day-to-day tasks and responsibilities. Leveraging advanced natural language processing (NLP) techniques and specialized training on pharmaceutical data, this model offers a range of features tailored to the needs of healthcare providers.

  • Drug Information Retrieval: excels at retrieving comprehensive and accurate information about medications
  • Drug Interaction Analysis
  • Patient Counseling Assistance: clear and accurate explanations.
  • Up to date acurate information

Learn more VeeRX vs ChatGPT ->

VeeRx - Accurate output

Input:

What is the NDC code for Omalizumab?

Output:

The complete National Drug Code (NDC) list for Omalizumab, also know as Xolair that is used to treat allergic asthma and chronic idiopathic urticaria (hives), would be:

50242-040-62, 50242-040-86, 50242-214-01, 50242-214-03, 50242-214-55, 50242-214-83, 50242-214-86, 50242-214-99, 50242-215-01, 50242-215-03, 50242-215-55, 50242-215-83, 50242-215-86, 50242-215-99, 50242-227-01, 50242-227-55, 50242-227-86, 50242-227-99

ChatGPT - Inaccurate output

Input:

What is the NDC code for Omalizumab?

Output:

...

The National Drug Code (NDC) for omalizumab can vary depending on the specific formulation and dosage strength. For example:

Xolair 150 mg solution for injection: NDC 50242-130-01

Xolair 300 mg solution for injection: NDC 50242-160-01


[ NDC 50242-130-01 is ALECENSA, not Xolair ]

[ NDC 50242-160-01 does not exist ]

VeeDiag - Copilot for diagnostics [Beta]

By analyzing patient data and medical records, this LLM can offer clinical decision support to healthcare providers. It can assist in diagnosing diseases, predicting outcomes, recommending treatment plans, and identifying potential risks or complications. It can also be used as a pre-consultation tool to help reduce burn out of healthcare providers.

  • advanced language understanding capabilities specifically tailored for the healthcare domain
  • Clinical Decision Support
  • Scalability and Integration
  • Differential diagnostic reasoning

Customized Solutions

Specialize in providing bespoke AI model development and inference solutions crafted precisely to fit your requirements.

  • Customized AI model and inference solution that aligns perfectly with your objectives.
  • End-to-End support: From conceptualization to deployment
  • Training, finetuning, RAG and RLHF
  • Data: Curated health, bio and life science datasets and ETL
  • Optimized inference platform and production AIOp service

Let's create better healthcare together 🚀

Contact us to get started! Get Started