Affindav1.0.3

A staffing firm receives hundreds of resumes daily. Using Affinda's resume parsing, they automatically extract candidate details like contact info, work history, and skills, which are then fed into their ATS. This reduces manual data entry and speeds up the screening process.

An HR team uses Affinda to parse incoming job applications and filter candidates based on specific skills or experience levels. The extracted data is stored in a collection and can trigger follow-up actions like sending interview invites. This improves efficiency and consistency in hiring.

Corporate recruiters use Affinda to manage a central repository of parsed resumes. They can search by keywords, update candidate records, and track the hiring pipeline. This allows for quick retrieval of candidate information across multiple roles.

A background check company processes numerous documents (resumes, IDs) for verification. They use Affinda's document creation and update actions to parse and store data, then trigger redaction for sensitive information. This automates data extraction while ensuring compliance.

Charge a monthly or annual fee for access to resume parsing features. Offer tiered plans based on the number of documents processed per month. Additional revenue from premium support or advanced analytics.

Charge per resume or document parsed. This model appeals to small businesses or occasional users who prefer not to commit to a subscription. Revenue scales with usage volume.

Bundle Affinda's parsing into a broader HR SaaS suite (including ATS, onboarding, etc.). Sell as an integrated solution, either by embedding Affinda's API or building a proprietary platform on top. Revenue from platform subscriptions.