HIPAA-compliant webapp
Run secure AI workflows in a web application built for healthcare professionals, RCM teams, and other users handling sensitive information.
Hathr.AI
Freemium
의료팀을 위한 HIPAA 규정 준수 AI 플랫폼으로 AWS GovCloud의 Claude, 웹 앱, API 및 워크플로 자동화를 지원합니다.
Hathr.AI란 무엇인가요?
Hathr.AI is a HIPAA-compliant AI platform for healthcare and other regulated teams that need to work with sensitive data. The site presents it as a web app and API powered by Anthropic’s Claude, hosted on AWS GovCloud, and covered by a BAA on its plans.
It is designed to help users summarize information, analyze data, generate letters and documents, and automate clinical or administrative workflows without moving into a commercial AI environment. The company also positions the product for teams that need privacy controls, regulated deployment, and healthcare-focused NLP rather than a general-purpose chatbot.
Hathr.AI(으)로 무엇을 할 수 있나요?
HIPAA-compliant API
Use the API for healthcare applications that need secure Claude-based NLP, with documentation and code examples provided on the pricing page.
Large-document processing
Process large source documents; the site says Hathr.AI can handle documents with more than 500,000 words.
Summarization and document generation
Generate summaries, research output, document drafts, and analysis for clinical and administrative work, with claims that these workflows run faster than manual handling.
Healthcare workflow automation
Use healthcare-oriented API features such as SOAP note automation, billing code suggestions, and lab test processing.
Government-grade security posture
Deploy in a GovCloud-based environment with claims of HIPAA compliance, BAA support, and zero retention on the API.
사용 사례
“Clinical document summarization”
Summarize patient records or other long documents into a faster review format for clinicians or staff who need to find relevant details quickly.
“Healthcare application development”
Generate SOAP notes, billing code suggestions, and lab test processing workflows through the API for healthcare software or internal tools.
“Administrative drafting and document generation”
Draft letters, outlines, proposals, and other document sections while keeping sensitive information in a private environment.
“EHR-adjacent workflow automation”
Embed the API into an EHR or related workflow to create visit summaries and reduce documentation time for providers.
“Regulated-data AI operations”
Use the platform for controlled-data workloads where users need HIPAA-compliant AI with GovCloud hosting and BAA coverage.
자주 묻는 질문
What is Hathr.AI?
Hathr.AI is a HIPAA-compliant AI tool and API for healthcare and other regulated teams that work with sensitive data. It is hosted on AWS GovCloud and includes a BAA with its plans.
How is Hathr.AI priced?
The site shows a webapp subscription starting at $47 per month, a HIPAA-compliant API starting at $45 per month, and enterprise pricing by quote. The pricing pages also mention a 7-day free trial for the webapp.
What kinds of tasks can it help with?
The website says the webapp can summarize information, analyze data, generate letters, and support other workflows. The API page highlights clinical and admin automation, SOAP note generation, lab test processing, and other healthcare application workflows.
Can teams or larger organizations use it?
Yes. The site states that Hathr.AI offers a webapp subscription for individuals or teams, and the API page lists higher-tier plans and enterprise options for larger deployments. Enterprise features include SSO, SAML, SCIM, EHR/EMR integrations, and custom workflow automation.
How does Hathr.AI handle data privacy?
The site positions Hathr.AI as a private, compliant option for healthcare data, with zero retention on the API and 100% private handling described on the site. It also says the service runs on AWS GovCloud and does not re-use customer data.
주요 정보
- Category
- Healthcare AI
- Platform
- Web app and API
- Core model
- Anthropic Claude
- Hosting
- AWS GovCloud
- Pricing
- Paid plans; webapp starts at $47/month, API starts at $45/month
- Primary users
- Healthcare professionals, RCM teams, developers, and regulated organizations
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