Ryght AI

What Ryght AI does

Ryght AI provides a platform that leverages AI Site Twins, which are digital replicas of clinical research sites worldwide, to drastically accelerate and improve site selection and feasibility for sponsors and CROs. The platform analyzes protocols, identifies high-potential research sites globally, streamlines site selection, accelerates activation, and optimizes site performance throughout a trial. It offers solutions for precision site selection, automated feasibility outreach, and a free search engine for clinical research sites. Additionally, Ryght offers a tailored GenAI platform for Life Sciences to revolutionize daily operations, including research, reporting, and application development, by enabling enterprise content creation, custom model training, and secure copilots.

Products

• Ryght AI PlatformA powerful AI-powered platform providing sponsors and CROs with predictive capabilities to enhance site selection, feasibility, and study optimization throughout the life of the trial. It includes features for ingesting and analyzing data, simulating and forecasting, dynamic and interactive twins, and optimizing and adapting protocol parameters.
• RYGHTSITES.COMA free search engine to query against 60,000+ global research sites by indication, phase, and region, powered by Ryght's AI Digital Twins.
• NETWORK NAVIGATORAn intelligent ranking system that tailors site lists to the specific needs of a protocol, enhancing site selection.
• FEASIBILITY ACCELERATORAutomatically sends AI-powered feasibility questionnaires to qualified sites and tracks responses in real time, reducing feasibility cycles from weeks to days.
• GenAI Platform for Life SciencesA tailored GenAI platform designed to revolutionize daily operations in Life Sciences, spanning research, reporting, and application development. It enables accelerated workflows, enhanced outputs, enterprise content creation, and personalized, secure copilots.

Key capabilities

• AI Site Twins (digital replicas of clinical research sites)
• Protocol analysis and matching
• Global site network (60,000+ to 100,000+ sites)
• Automated feasibility outreach
• Real-time response tracking
• Predictive capabilities for enrollment performance
• Dynamic and interactive data updates for twins
• Optimization and adaptation of protocol parameters
• Enterprise data connectors (Snowflake, Databricks, Confluence, Slack, Google Docs, Adobe PDF, Microsoft Sharepoint, Microsoft Office)
• Natural language querying of data silos
• Organizing unstructured data with data pipelining copilot
• Automatic SQL query generation
• Custom copilot creation
• Fine-tuning open-source models
• Building new models
• Performance monitoring and reporting for AI models
• API endpoints for custom GenAI flows and copilots

Use cases

• Accelerating site selection for clinical trials
• Improving feasibility assessment for clinical trials
• Optimizing site performance during clinical trials
• Reducing costs in clinical trial management
• Compressing timelines for clinical trial site identification and activation
• Managing larger portfolios for CROs without scaling headcount
• Eliminating database subscriptions and manual labor in site selection
• Accelerating feasibility response times
• Minimizing site selection errors
• Reducing travel and due diligence costs for site evaluation
• Advancing programs to market faster for sponsors
• Enhancing enterprise content creation in Life Sciences
• Developing personalized, secure copilots for knowledge workers
• Querying data silos using natural language
• Organizing unstructured data
• Generating SQL queries automatically
• Integrating custom GenAI flows into existing environments

AI approach

Ryght AI develops 'AI Site Twins,' which are digital replicas of clinical research sites globally. These twins are built on the concept of digital twins and capture operational characteristics, historical trial performance, and patient populations. The platform uses advanced AI and machine learning algorithms to analyze complex datasets, simulate scenarios, forecast enrollment, and optimize trials. It also features AI retriever agents that constantly update the twins with real-time data. For enterprise clients, Ryght offers a GenAI platform for life sciences, enabling custom model training, fine-tuning, vectorization, and data retrieval using enterprise data connectors. Users can create copilots, fine-tune open-source models, or build entirely new models.

Tech named: AI Site Twins, AI retriever agents, advanced AI and machine learning algorithms, GenAI platform, custom model training, fine-tuning, vectorization, open-source models, copilots, LLMs, Retrieval-Augmented Generation (RAG)

Industries served

• Technology, Information and Internet
• Life Sciences
• Biopharma

What it says sets it apart

• Industry's first AI Site Twins
• Global site network of AI Site Twins (60,000+ to 100,000+ sites)
• Protocol-matched, performance-ranked site lists delivered in minutes
• AI-driven site selection and automated feasibility outreach
• Reduces 6 months of site selection into 26 days (case study)
• Pre-populated feasibility questionnaires with AI Site Twin data
• Eliminates need for expensive data subscriptions and costly consultants
• Available on Microsoft Azure Marketplace for existing cloud commitments and cost efficiency
• Tailored GenAI platform designed for Life Sciences
• Specialized enterprise connectors for data integration
• Ability to fine-tune open-source models or build entirely new models
• Focus on security and data protection with vulnerability scanning and access management controls

Funding rounds we track

From the AI funding tracker — rounds as reported by the linked publications.