

Healthcare AI that speaks your language
LLM at the speed and grace of a gazelle or "gazal" in Arabic language
Why gazal
The healthcare industry, as we know it, faces monumental challenges. From inefficiencies in data management to the overwhelming volume of medical knowledge and the critical need for more intelligent care
At the edge
Gazal was built for the world of Large Language Models (LLMs) with the unique ability to understand, interpret, and generate human-like text based on vast amounts of data
Secure for health
At gazal, we are committed to navigating the ethical landscape of healthcare with utmost care. Ensuring privacy, security, and unbiased, equitable access to AI solutions to the entire ecosystem
Ultra efficient
Leveraging open-source state of the art (SOTA) LLMs that are fine-tuned for specific healthcare tasks enables you to achieve optimal outcomes using minimal computational resources
A sneak peak into the future
Join the revolution, explore the potential use cases, and be part of the transformation. Sign up for early access and an opportunity to shape the future of healthcare innovation.
Gazal with Mixtral
The fine-tuned version of Mixtral-8x7B on open-source medical and healthcare dataset to perform variety of healthcare-specific language tasks. The base model, Mixtral, is a high-quality sparse mixture of experts model (SMoE) with open weights developed by Mistral AI.
Gazal with Deepseek distilled models
This demo highlights the capabilities of the Deepseek R1 Distill LLaMA70b model, offering a glimpse into the potential of our larger, fully fine-tuned versions. While the showcased model demonstrates impressive performance, our comprehensive, fine-tuned models are designed to tackle even more complex tasks at scale. For this demonstration, inference is temporarily powered by Groq's advanced systems, ensuring efficient and reliable performance of the concept itself
Gazal with Llama 70B
The fine-tuned version of Llama 2 on open-source medical and healthcare dataset to perform variety of healthcare-specific language tasks. The base model, Llama 2, a pretrained and fine-tuned generative text models of 70B parameters developed by Meta and excel in various tasks.
Health as it should be
Healthcare professionals and LLMs can work together in a synergistic manner, enhancing healthcare delivery, patient care, and medical research
Medical Coding
By automating code suggestions, continuously adapting to new standards, and providing error detection capabilities, LLMs can streamline the coding process, reduce manual effort, and ensure compliance with current regulations with their advanced natural language processing abilities
Administrative Tasks Automation
Many administrative tasks, such as scheduling appointments, billing, and maintaining patient records, can be streamlined or automated with LLMs. This reduces the workload on healthcare staff, allowing them to dedicate more time to direct patient care
Personalized Health Education
LLMs can generate personalized educational materials for patients, explaining their conditions, treatment plans, and preventive measures in an understandable way. This helps in empowering patients with knowledge about their health
Watch gazal in action
Gazal is continuously learning, growing, and evolving in sophistication and healthcare use cases. We are engaging in ongoing fine-tuning and applying Retrieval-Augmented Generation (RAG) to state-of-the-art base models to develop the best healthcare-specific LLM, gazal. Meet some use-cases here.
Gazal medical text summarization
Gazal streamlines your workflow by condensing lengthy medical information from various sources into concise, easily digestible summaries, ensuring key information is accessible at a glance. It highlights critical points and findings with precision, working across patient records, research articles, and medical guidelines in any format without compromising accuracy.
Gazal medical coding and billing
Gazal leverages LLMs to revolutionize medical coding, streamlining the extraction of diagnoses, procedures, services, and medication codes with unmatched precision and efficiency. It interprets complex clinical documents, extracting essential details for accurate coding, reducing errors, and improving billing accuracy. It offers real-time suggestions, keeping pace with standards, thus boosting efficiency and compliance.
Gazal pubMed health questions answering
Gazal supports clinical knowledge by providing answers to questions with speed and accuracy ONLY from reliable sources and evidence based guidelines. Here, it navigates through PubMed to offer clear and hallucination-free response. It picks questions across diverse scenarios, ensuring you have the right answers when you need them most, thus improving access to reliable knowledge.
Gazal.ai agentic workflow
Gazal Computer use represents the cutting edge of agentic workflows in the generative space. It is now at your fingertips to help you optimize medical workflows and automate robotic processes with ease.
Streamline your operations, whether you're in the loop or not, and effortlessly autopopulate medical information flows—all with the simplicity of a single prompt.
Gazal-o1-preview
Our highest-rated model, Gazal-O1-Preview, is specifically designed to deeply analyze and process medical prompts before generating a response.
This advanced model is built to handle the most challenging questions, providing accurate and reliable answers grounded in medical guidelines.
Gazal drug design
Gazal, as a large language model, has been meticulously trained and fine-tuned on an extensive corpus of molecular data to support a wide range of drug design use cases. It enables you to gain instant, actionable insights into your molecular structures.
Gazal medical imaging analysis
Gazal.ai is a powerful multimodal model capable of interpreting various medical imaging modalities, including plain X-rays, MRIs, CT scans, and histopathological sections.
With Gazal.ai, radiology report writing is no longer a challenge—streamlining workflows and saving valuable time.
Gazal instant ai
Experience the convenience of instant conversational AI, designed specifically for busy doctors. Simply use your microphone to ask your clinical decision support system questions, and receive real-time audio responses in just milliseconds.
Gazal web search
Gazal GPT Search offers a unique experience by combining internet search with the ability to generate a comprehensive summary of the searched results. This empowers the Gazal LLM with real-time access to medical and clinical sources, providing a galvanised more accurate insights.
Gazal data analysis tool
A best-in-class data analysis tool that accepts your CSV data file, automatically writes scripts, and executes them in a secure, sandboxed environment. It generates insightful charts, identifies trends, performs statistical analysis, and applies advanced machine learning algorithms—helping you extract the most critical insights from your data with ease.
Gazal literature review
Every doctor is a researcher by default. With Gazal, effortlessly craft complex literature reviews in various tones, supported by comprehensive academic resources from the most reputable medical libraries and archives.
Gazal multimodal interpretation
Gazal's multimodal interpretation allows you to gain instant insights from videos of medical lectures. It provides detailed summaries and accurate transcriptions, streamlining your learning and reference process.
Gazal papers search
Gazal's advanced search capabilities enable you to explore online research effortlessly. It provides concise abstracts for the studies, ensuring you quickly grasp key insights while saving valuable time in your research process
Bringing reliability to LLM
High-quality data leads to high-quality results. By expanding our healthcare data lakes, we're advancing the development of responsible and reliable healthcare AI, ensuring our models are grounded on robust and credible information
671 Billion
The size of parameters of the LLM we successfully fine-tuned so far
100 Billion
Healthcare specific tokens for training and fine-tuning in our datasets
575 Million
The size of the high-quality clean healthcare data in structured and tabular format
+100
Sources from credible, evidence-based scientific research and open data sources
Join the future of healthcare
Get a sneak peek at what we're working on by contacting us here
FAQs
What is LLM?
Open source vs. closed source LLMs
What is RAG (Retrieval-Augmented Generation)?
What is Fine-Tuning?
Why healthcare organizations need to adopt RAG or Fine-Tuning?
What is gazal ai?
Intended use of Gazal
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