streaming ai for
value-based care

Frame AI leverages Stream-Trigger Augmented Generation (STAG) architecture to analyze massive volumes of unstructured data in real-time. By integrating seamlessly with existing systems and infrastructure, our platform processes streaming data to generate actionable insights, helping marketing, CX, and product teams make informed decisions and proactively address customer needs.

Unstructured data refers to information that doesn’t have a pre-defined data model or isn’t organized in a predefined manner. Unlike structured data, which is typically stored in databases and easily searchable by algorithms due to its organized format, unstructured data encompasses a wide range of formats including text documents, emails, social media posts, videos, images, and audio files. This type of data is inherently more complex and varied, making it more challenging to analyze and process using traditional data tools. However, it holds significant value as it often contains rich, detailed insights that can be leveraged for deeper understanding and decision-making. The Frame AI Stream-Trigger Augmented Generation (STAG) architecture uses machine learning and natural language processing to extract meaning and actionable insights from unstructured data, enabling enterprises to tap into the wealth of information contained within.

Stream-Trigger Augmented Generation (STAG) is Frame AI’s groundbreaking architecture that applies Generative AI to massive volumes of streaming data. STAG proactively detects and triggers actions based on predefined business objectives, enabling real-time analysis and response. Businesses can automatically identify and address customer needs, compliance issues, and other critical areas as they arise. By leveraging STAG, enterprises can transform unstructured data into actionable insights, enrich their existing systems, and enhance workflows with predictive and generative AI, ultimately driving better business outcomes and operational efficiency.

Frame AI’s platform is designed to benefit enterprise teams in marketing, compliance, CX, and product teams. By transforming unstructured data into actionable insights, Frame AI empowers these teams to improve the efficiency of their customer data processes, enhance customer experiences, ensure regulatory compliance, and drive strategic product development. This leads to better decision-making, increased operational efficiency, and a more proactive approach to addressing customer needs and improving overall business outcomes.

Frame AI tailors its platform to the needs of every business by creating customized NLP models that detect and measure the specific metrics businesses already prioritize. Our platform processes and analyzes previously dormant unstructured datasets, transforming them into actionable insights. This enables enterprises to enrich their existing systems and workflows with predictive and generative AI. 

Frame AI adheres to the highest standards of data governance and regulatory compliance. We align with industry best practices and regulations such as GDPR, CCPA, and HIPAA, ensuring data is managed with the utmost care and fully compliant with legal requirements. All customer data handled by Frame AI is encrypted both in transit and at rest using state-of-the-art encryption protocols. We implement rigorous access control measures, ensuring only authorized personnel can access sensitive information. This minimizes the risk of unauthorized access and data breaches. Additionally, Frame AI maintains SOC 2 certification, demonstrating our commitment to security, availability, processing integrity, confidentiality, and privacy of customer data. We also support a BYOC (Bring Your Own Cloud) approach, giving customers the flexibility to host their data within their own cloud environment, further enhancing security and control.