Our AI Solutions for Your Business

An AI agent designed to accurately extract patient details—such as name, date of birth, health conditions, and medications—from scanned medical PDFs, including system-generated text, handwritten notes, and checkboxes. The extracted data is structured into CSV files, enabling seamless integration into Pdata to drive insurance business growth.

Keeping track of new products in the Dental, Veterinary, and Optometry markets can be difficult. Investors with stakes in respective retail healthcare manufacturing companies need to constantly be alert for new products, M&A's, or other changes to how these companies make money. Likewise, building software to keep your product information updated is a tall order, with constantly changing websites and perpetual news article releases. With the Sikka Agent framework, our AI is able to visit and navigate websites based on what it "sees", with no prior information other than the URL and a user-inputted task. Pulling changes to a manufacturer's product repertoire is now a button click away.

An AI assistant that creates HubSpot tickets for user issues. It asks clarifying questions when needed to ensure tickets contain complete, actionable details for support teams. Only validated requests are submitted to avoid spam and maintain efficiency.

Developers provide a practice management system name to the agent, which retrieves official release notes and summarizes the content. The summary is then sent in an email to the developer with key details from the release note.

This agent generates comprehensive API test cases for any specified endpoint within the API v4 system. It utilizes the specification to produce test cases across various categories including query parameters, filters, sorting, response validations, and error handling.

This AI agent accepts a plain-text description of a feature or functionality and transforms it into actionable test scenarios. This helps bridge the gap between product documentation and QA execution.

This Agent helps users check the availability of specific data points. When a requested data point is not available, the Agent asks the user if they would like to contact support to find out if the data can be retrieved. If the user agrees, the Agent automatically sends an email to the support team on their behalf.

This Agent sends NPS surveys to partners and automatically categorizes responses. Based on the score, it sends follow-up emails, schedules calls if needed, and analyzes call summaries to suggest strategies for improving retention.