AI Builders

Create Cutting-Edge Life Science AI Applications with the Ryght Python SDK

Seamlessly integrate with open APIs to develop enterprise-grade AI solutions designed for life sciences, including:

Sophisticated AI-driven research assistants
Intelligent data analytics tools
Advanced AI copilots

The Ryght Python SDK offers the robust, scalable, and secure foundation you need.

Accelerate with APIs

Boasting over 50 APIs and continuously expanding, Ryght equips you with the tools needed to construct superior copilots, integrate secure generative AI into your software applications, or navigate vast seas of unstructured data with unprecedented ease. Additionally, software and data companies have the opportunity to integrate Ryght into their commercial products as a white-label solution, enhancing their offerings with our advanced capabilities.

Build Custom GenAI Applications with Ease Using Ryght’s No-Code Copilot Builder

Empower your team to build and deploy sophisticated AI applications without writing a single line of code. Ryght’s no-code copilot builder enables you to create customized solutions tailored to your specific needs in the clinical trials space. Our user-friendly builder provides the flexibility and scalability required to support your organization’s growth, making it easier than ever to innovate and drive success in the life sciences industry.

Professional Services

Why choose Ryght over developing in-house with your cloud provider’s tools? The reasons are many— model obsolescence, biopharma knowledge, leveraging and customizing pre-built copilots from the Ryght library. These all lead to time savings, lower costs, reduced delays, and better use of your time, just to name a few. As the clinical research GenAI specialists, we excel at what we do and have pre-packaged copilots and services ready to go, accessible via API and no-code builder tools. Go ahead, focus on what you do best and leave the plumbing to us.

Case Study: Data Transformation

THE CHALLENGE

The client had a data warehouse comprising billions of medical test results in a semi-structured format. High-value genomics test records are stored in text fields without annotation. Extracting insight from these data is currently manual and the business struggles to break-even as a result.

OUR SOLUTION

Leveraging Ryght’s orchestration capabilities, a custom extraction pipeline was created to identify genes included in each test, highlight variants, list findings in a table, and surface medical literature based on the clinically relevant variants identified. The result? An automated data pipeline providing a natural language query capability against huge amounts of semi structured data, resulting in faster turnaround times for client requests, a significant ROI, and a market differentiator.

Transform your vision into reality with Ryght’s powerful self-service tools.