Velatura and Cloudticity revolutionize healthcare consent with TII

Velatura recognized a critical barrier to accessible healthcare: Patients often lack a proper understanding of what they are consenting to. “The patient might be the least informed participant in most healthcare events or transactions,” says Prashant Natarajan, chief AI officer at Velatura. “People are expected to read and understand complex documents in various contexts and act on them.” In the United States, there are at least 150 types of healthcare consent forms, ranging from simple 1-page documents to 25-page medical agreements with complex legal language. For multilingual communities, the challenge is even greater. “Your postal code is a better predictor of your health outcomes than your genetic code,” says Natarajan. “If you want to bring healthcare to people and empower them to make informed care decisions, meet them where they are.”

The human impact was clear. Families needed clarity and culturally sensitive explanations to navigate procedure-based consent and complex medical decisions, such as choosing mental health interventions or hospice care. Proper comprehension in these situations requires more than simple language translation. “Generic AI models perform well, but they might miss the nuances of multiethnic, multilingual communities,” says Natarajan. “When language varieties and cultural context matter—as in healthcare—we prefer models that are purpose-built for those communities.”

For years, Velatura has been building health informatics products on AWS and managing them through Cloudticity, a managed-service provider specializing exclusively in healthcare. Building on these long-standing relationships, Velatura decided to develop its new solution by collaborating with Cloudticity and using AWS infrastructure. “In addition to its comprehensive service offerings, AWS gives us the flexibility to use a variety of large language models from leading AI organizations,” says Natarajan. After experimenting with TII’s various Falcon models, Velatura chose three that perfectly fit its use case: Falcon3-10B, Falcon-H1-7B-Instruct, and Falcon-H1-34B-Instruct. The company deployed the models on Amazon SageMaker AI, a fully managed service that brings together a comprehensive set of AI tools and capabilities.

The solution also employs several AWS services. For conversation management, it uses Amazon Bedrock, a service for building generative AI applications and agents, and Amazon DynamoDB, a serverless, fully managed, distributed NoSQL database. It uploads documents to Amazon Simple Storage Service (Amazon S3), an object storage service. For processing logic, it relies on AWS Lambda, a service for running code without thinking about servers or clusters. Additionally, the fully managed Amazon API Gateway makes it easy for developers to create, publish, maintain, monitor, and secure APIs at virtually any scale. This makes it possible for Velatura to deliver NRT chat interactions through both REST and WebSocket APIs. This foundation includes fine-tuning capabilities for specialized healthcare contexts and helps the company focus on innovation while reducing operational and compliance risk. TII offers the Falcon models on Amazon SageMaker JumpStart, a machine learning (ML) hub with foundation models, built-in algorithms, and prebuilt ML solutions. The models are also available through Amazon Bedrock Marketplace, which offers access to over 100 models in Amazon Bedrock, so developers can find the proprietary and publicly available models that match their use cases.

Cloudticity’s role extends beyond offering standard managed services. The Partner provides Velatura with managed access to AWS services and global scalability support. Velatura also uses Cloudticity Oxygen, which is available in AWS Marketplace. The product automates compliance checks against multiple regulatory standards, including the Health Insurance Portability and Accountability Act of 1996 (HIPAA) and Health Information Trust Alliance (HITRUST). “Using Cloudticity’s solution, we have a set of tools that significantly reduce our go-to-market risk,” says Natarajan. The team designed Consent Manager+ as a mobile-first application with the proprietary AskTeli AI assistant. Patients use natural language to ask questions such as “What am I signing?” or “What happens if I don’t sign?” and receive clear, culturally contextual explanations in NRT.

By deploying TII’s Falcon models on Amazon SageMaker AI, Velatura obtained a 95 percent smaller English-Arabic model that delivers comparable performance. “We were able to get outstanding results of a 32-billion-parameter model as opposed to a 700-billion-parameter one,” says Natarajan. “Cost of inferencing matters a lot.” The solution proved valuable for rapid iteration and scalability. “Now, we can scale up both in the United States and across a global footprint,” says Natarajan. The initial pilot featured a diverse group, including Arabic and English speakers from multiple generations, and demonstrated immediate success with 100 percent participation. The participants used their mobile devices to interact with AI in both languages, evaluating responses for accuracy, linguistic nuance, cultural relevance, and healthcare context. The impact was especially evident for multilingual families. One attendee shared that his non-English-speaking wife could, for the first time, confidently schedule medical appointments alone. “Consent Manager+ changes how Americans, and especially Arab Americans, interact with their healthcare providers while establishing America as a hub for health AI innovation,” says Tim Pletcher, CEO of Velatura. “This solution transforms healthcare accessibility through intelligent, community-centered design that prioritizes patient understanding and contextual workflows. Using Cloudticity’s managed services, TII’s purpose-built Falcon models, and comprehensive AI on AWS, we’re transforming how individuals and communities interact with healthcare providers.”

Based on this success, Velatura launched the Consent Champion Program, training English- and Arabic-speaking community members on Consent Manager+ so that they can help their communities navigate the platform. Seventy-five percent of Consent Manager+ users enrolled, demonstrating the enthusiasm for the program. And after the success of the English and Arabic pilots, Velatura expanded Consent Manager+ to support Ukrainian, Spanish, and faith-based AI models, applying the same culture- and variety-aware approach to meet community demand. Healthcare providers in Florida are initiating pilots for English- and Spanish-speaking communities, and a major journal is showcasing the integration of Consent Manager+ with faith-based AI models—helping raise awareness of the solution. The platform’s architecture facilitates rapid deployment for any language or cultural combinations where trust and context matter in healthcare decisions. “This is about empowering patients, families, and physicians,” says Natarajan. “Knowledge is only the beginning. When knowledge is distilled and applied on demand, it becomes education. And when education leads to action, it results in empathy, understanding, and relief.”