Pricing

Feather can summarize notes, extract clinical data, draft pre-auth letters, generate billing summaries, suggest ICD/CPT codes, and automate repetitive healthcare workflows—all securely and in seconds.

Feather is designed specifically for healthcare professionals, unlike general-purpose AIs like ChatGPT or Claude. It operates in a secure, HIPAA-compliant environment, and is tailored for medical use cases such as SOAP note summaries, billing code generation, and chart reviews. With Feather, you get purpose-built features for clinical workflows, not just general answers.

Yes. Feather is built from the ground up to protect sensitive healthcare data. It complies with HIPAA and NIST 800-171 standards, and all data is processed and stored in AWS GovCloud, a secure cloud environment with FedRAMP High certification. Feather also gives you full data ownership, meaning we never use your data to train models or for any purpose you don’t authorize.

No. The standard versions of Claude AI and ChatGPT are not HIPAA-compliant and are not authorized for handling protected health information (PHI). They lack the technical and legal safeguards required for healthcare use, such as Business Associate Agreements (BAAs), secure hosting environments, and strict data access controls.

No. Uploading medical records or sensitive documents to standard Claude or ChatGPT risks violating HIPAA regulations. These platforms don’t provide the necessary privacy controls, data protections, or compliance certifications to safely handle confidential healthcare information.

The default Claude API and other similar APIs are not private or secure enough for healthcare use. They do not guarantee compliance with HIPAA or restrict how data is stored or accessed. In contrast, Feather runs Claude and other models in a secure, isolated environment that ensures privacy and regulatory compliance.

No. Uploading medical records or sensitive documents to standard Claude or ChatGPT risks violating HIPAA regulations. These platforms don’t provide the necessary privacy controls, data protections, or compliance certifications to safely handle confidential healthcare information.

Yes. Feather is a leading example of a HIPAA-compliant AI tool purpose-built for healthcare teams. It combines the power of large language models with strict security and compliance, enabling providers to automate documentation, billing, and analysis workflows safely and effectively.

HIPAA-compliant LLMs are AI models deployed in secure, regulated environments that meet healthcare data protection requirements. They operate under strict access controls, data encryption, and privacy policies, often backed by a Business Associate Agreement (BAA). Feather delivers these models safely via its compliant infrastructure.

Feather is at the forefront of HIPAA-compliant AI, offering secure AI chat, private document analysis, and workflow automation tailored for clinical teams. Other options exist, but few provide the same level of usability, security, and healthcare-specific features that Feather offers out of the box.

Yes, Feather provides a signed BAA for all customers handling PHI. This ensures legal and regulatory compliance for healthcare organizations under HIPAA.

Feather is hosted in AWS GovCloud (US), a secure, government-grade cloud environment that meets FedRAMP High and NIST 800-171 compliance standards.

Yes. Feather can be deployed within your private cloud or on-premises if needed. We also offer secure cloud hosting managed by Feather.

Yes. Feather supports secure clinical Q&A, helping you research conditions, validate diagnoses, or compare treatment guidelines using HIPAA-compliant AI.

Only authorized users within your organization. We implement strict access controls, audit logs, and role-based permissions to ensure your data stays private.

Your data remains your property. Upon cancellation, all stored data can be exported or permanently deleted, based on your preferences.

Yes, Feather offers a 7-day free trial so you can explore the platform and its features before committing to a paid plan.

Pricing is based on usage and team size. We offer flexible plans for individual providers, group practices, and large healthcare systems.