Gazal AI
Last Updated on: Feb 4, 2026
Gazal AI
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What is Gazal AI?
Gazel AI is a sophisticated healthcare-focused platform powered by fine-tuned large language models (LLMs), built to assist clinicians, researchers, and healthcare administrators with a suite of AI-driven tools. From summarizing patient records and aiding medical coding to interpreting medical imaging like X-rays, MRIs, and CT scans, Gazel is designed to enhance decision-making, streamline documentation, and reduce cognitive load in clinical workflows. Utilizing models like Mixtral-8x7B, Llama 70B, and R1 Distill, Gazel delivers rapid, context-aware responses, supports agentic process automation, and brings multimodal intelligence directly into healthcare settings. Developed under TachyHealth, this platform emphasizes privacy, efficiency, and accuracy in sensitive healthcare environments.
Who can use Gazal AI & how?
  • Clinicians & Physicians: Access instant clinical summaries, diagnostic suggestions, and patient-focused insights for better decision support.
  • Medical Coders & Billing Specialists: Automate and improve accuracy in coding diagnoses and procedures with real-time AI suggestions.
  • Radiologists & Imaging Teams: Leverage multimodal analysis to interpret medical images, and generate draft reports or assist diagnostics.
  • Healthcare Researchers & Academics: Conduct rapid literature reviews, PubMed searches, and research summaries using evidence-based LLM queries.
  • Operational Administrators: Automate workflows, generate educational materials, or streamline administrative tasks via conversational AI.
  • Healthcare Organizations in MENA Region & Beyond: Gazel is tailored to regional clinical needs, built for global deployment with privacy and regulatory compliance.

How to Use It?
  • Register for Access: Sign up to use the Gazel demo or access early features.
  • Initiate Queries: Ask clinical or administrative questions—simple prompts trigger AI-generated responses across modalities.
  • Upload Clinical Inputs: Provide documents, images, or data for the model to summarize, interpret, or analyze.
  • Review AI Outputs: Get actionable outputs—summaries, coding suggestions, imaging interpretations, or literature insights.
  • Integrate Into Workflows: Use Gazel interactively or via API hooks to embed into EHR, admin systems, or research pipelines.
What's so unique or special about Gazal AI?
  • Multimodal LLM Expertise: Handles text, images, and audio inputs—fine-tuned to healthcare using models like Mixtral-8x7B, Deepseek R1, and Llama 70B.
  • Comprehensive Clinical Use Cases: Supports tasks from coding and summarization to imaging analysis and literature review—spanning full healthcare workflows.
  • Healthcare-Centric Models and Data: Built on specialized datasets and AI tuned for reliability, transparency, and evidence-based reasoning.
  • Ethical and Secure by Design: Emphasizes privacy, neutrality, and compliance throughout its design—critical in health sectors.
  • Agentic Workflow Enablement: Designed to automate and assist clinical pathways and administrative tasks through AI-agent capabilities.
  • Global Reach with Local Focus: Initially serving MENA healthcare ecosystems, Gazel supports compliance and relevance across global healthcare landscapes.
Things We Like
  • Broad clinical and administrative coverage with just one platform
  • Handles critical tasks such as coding, summarization, and imaging—reducing manual workload
  • Built for trust, with attention to HIPAA-level privacy and real-world validation
  • Supports healthcare professionals at every level—from doctors to administrators
  • Highly efficient even in resource-constrained clinical environments
  • Developer-native design enables deeper integration into health systems
Things We Don't Like
  • Access appears limited to registered users and may require onboarding
  • Full model capabilities may be gated behind enterprise plans or pilot access
  • General LLM challenges (e.g., hallucination, bias) exist; healthcare domain accuracy is paramount
  • Real-world clinical validation needs to scale for diverse global usage scenarios
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FAQs


Gazel supports multimodal analysis—including medical images, chart text, APIs, and conversational queries.

Yes—built with a focus on security, neutrality, and compliant practices suitable for clinical environments.

Gazal.ai is developed by TachyHealth, a health-tech firm targeting AI-enabled clinical workflows, especially in MENA healthcare systems.

Yes—it offers advanced medical coding, billing, claims review, and administrative automation via AI-driven logic.

Yes—it targets both regional (MENA) and broader global deployments, with secure and scalable architecture.

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