Free
$0Free plan available.
Suki is an AI clinical assistant designed to alleviate the administrative burden on clinicians, allowing them to focus more on patient care. Utilizing generative AI and voice technologies, Suki helps clinicians save time on note-taking through ambient documentation, dictation, and voice commands. It integrates with EHR systems like MEDITECH and can also be used as a standalone solution.
Suki is accessible via its Chrome Extension, which provides integration with EHR systems or functions as a standalone application. Clinicians can utilize voice commands, dictation, and ambient documentation features to efficiently create and manage patient records.
Suki is an AI clinical assistant that uses generative AI and voice technology to help clinicians save time on documentation and administrative tasks.
Yes, Suki is HIPAA compliant and holds SOC2 Type 2 certification.
Suki currently integrates with MEDITECH, with support for additional EHR systems planned for the future.
Access requires an active Suki account, which can be used via the Suki Chrome Extension in Google Chrome or Microsoft Edge.
Free plan available.
Use these comparison pages to understand the trade-offs between the models most relevant to Suki - Chrome Extension.
Compare Gemini 1.0 Pro Deprecated and Gemini 2.5 Flash across pricing, context window, capabilities, benchmarks, and API access to choose the better fit for long-context workloads versus long-context workloads.
Compare Gemini 2.5 Flash and Gemini 2.0 Flash across pricing, context window, capabilities, benchmarks, and API access to choose the better fit for long-context workloads versus long-context workloads.
Compare Gemini 2.0 Flash Lite and Gemini 2.5 Flash across pricing, context window, capabilities, benchmarks, and API access to choose the better fit for long-context workloads versus long-context workloads.
Compare Gemini 1.0 Pro Deprecated and Gemini 1.5 Flash Deprecated across pricing, context window, capabilities, benchmarks, and API access to choose the better fit for long-context workloads versus general-purpose AI workloads.