|Saifr’s mission is to help financial services organizations efficiently create public communications that are compliant and on-brand.|
|Saifr helps streamline the process of creating, reviewing, and approving communications using AI and collaboration tools. Saifr used access to robust data to create our natural language processing (NLP) models. These models, which can be accessed via API or SaifrReview, enable marketing and compliance teams to create compliant communications faster, less expensively, and more collaboratively.|
With Saifr, clients can experience cost savings, quicker time to market, and reduced risk exposure.
Saifr began in Fidelity Labs, an in-house software incubator of Fidelity Investments. We began with access to millions of documents representing over 15 years of work by thousands of marketing and compliance experts in various lines of business. These documents, and those from other independent sources, were validated by former regulatory staff attorneys and feed our NLP models. These data make Saifr uniquely able to use AI to reduce the regulatory burden in creating compliant materials.
|Saifr is initially focused on helping financial services companies that are complying with regulators such as FINRA and the SEC.|
Our goal is to help our clients reduce the friction in their content creation, approval, and filing processes, thus helping them to deliver better content faster while reducing their brand and regulatory risks.
Saifr helps streamline the process of creating, reviewing, and approving communications using AI and collaboration tools.
Saifr’s founders started with deep knowledge about content creation and compliance. We then added a proven workflow process and unparalleled amounts of rich training data to create our NLP models. And finally, we gathered a team of experts in user design, NLP, AI, and technology.
Saifr helps marketing and compliance teams in financial services companies create better, compliant content faster. Saifr’s NLP models “understand” content as it is being created and perform a first pass review. The models highlight potential brand guideline issues and regulatory compliance risks in documents that contain text, images, and video. Marketing can proactively make any changes before compliance’s first review, and compliance can understand where to focus their attention.