Affinda focuses on using AI to reduce manual work in document processing and to help enterprises control AI usage costs. Its products are aimed at organizations that need to process large volumes of complex documents, with the goal of reducing AI input costs without lowering quality and automating document workflows.
In terms of main capabilities, Affinda provides document data extraction and workflow automation and can handle various document types. The example shown in the materials is a contract review scenario: the system can identify fields in a contract such as the parties, original agreement, effective date, whether there is a novation, non-novated content, consideration, governing law, and signing status, and validate them according to preset rules, for example checking whether the effective date is later than the original agreement date. In addition, the product supports viewing AI costs by application, team, or individual dimension and reduces input costs when caching applies.
In terms of usage, Affinda provides both a product and a service model of working with customers to help organizations deploy AI and cultivate employees' skills and mindset for using AI. The materials show that its team includes more than 120 facilitators, engineers, and designers and has delivered more than 70 deployment projects. Customers can submit an inquiry through the official website explaining the nature of their needs, and Affinda will make contact within two business days. When submitting, it is necessary to select the applicable options and agree to the privacy policy, and subscriptions can be canceled at any time.
Applicable scenarios include document-intensive workflows such as contract review and transaction research, as well as enterprises that need to control AI costs and move AI from pilot to production. The materials mention that its customers cover more than 2,800 customers in more than 85 countries, and it has received the 2026 OpenAI APAC Customer Impact Award.
In terms of limitations, the materials do not provide information such as specific pricing, free trials, supported languages, deployment methods (cloud or on-premises), API details, data retention policies, or compliance certifications; this content is not currently provided.
