Finally the Proactive
AI solution

Retrieval-Augmented Generation (RAG) has been the go-to for reactive Al, pulling in data when needed. But the next frontier is Stream-Trigger Augmented Generation (STAG), where AI anticipates your needs before you ask a question.

Benefits of Streaming AI

insight and action
at the speed of data

1

Unlock Dormant Data TO FIND ENTERPRISE Insights

Frame AI translates unstructured data – the calls, emails, surveys and documents that comprise 80% of what enterprises capture – into insights that inform operations and strategic decisions across teams.  This untapped asset contains critical insights about what consumers want, and what they may do with respect to a brand.   Unlocking it fosters alignment, efficiency, growth, and ultimately competitive advantage.
2

HARNESS AI TAILORED TO
YOUR BUSINESS

Frame AI isn’t an “one-size-fits-all” tool – it is a central platform where businesses can deploy tuned NLP models, calibrated predictive models and engineered prompts.  By doing so, Frame AI allows enterprises to invest once in providing AI with critical context about their business and deploy it across many applications, averting pitfalls and inaccuracies common to “generic” APIs and SaaS solutions.
3

Amplify Existing Processes,
Tools, and Teams

Frame AI’s STAG architecture proactively injects Generative AI assistance directly into your existing platforms and practices, making the most of your existing investments.  By providing a solution that is integrated with existing security, data governance / compliance, and operational frameworks, Frame AI  lowers time-to-value and eliminates the disruption many businesses are feeling in adopting AI technologies.

How STAG works

insight and action
at the speed of data

Frame AI’s STAG architecture actively monitors and analyzes enterprise data in real-time, detecting patterns and triggering automated workflows.

Frame AI is powered by Stream-Trigger Augmented Generation (STAG) technology. Unlike AI systems that respond only when prompted, such as when people interact with RAG-based chatbots, STAG actively monitors streaming natural language in unstructured and structured data across the enterprise to detect patterns and events in real-time and initiate workflows without waiting for manual intervention. STAG drives action with measurable impact by integrating these insights with enterprise processes.

Get The book

Learn how STAG-architected
AI and machine learning are redefining the value of unstructured data

Unlock the power of

our feature-rich

platform

GENERATIVE ENRICHMENT

Supercharge your data with Generative AI Enrichment. Frame AI enriches customer feedback and interactions with AI-driven annotations that become factors in predictive scores, enhancing the depth of your customer understanding and enabling more actionable decisions.

Calibrated Scoring and Trend Analysis

Quantify trends from qualitative data by applying weighted factors to generate actionable scores, predicting outcomes like churn and upsell opportunities. Scores can be applied to records, agents, and CRM objects, with customizable reports for real-time monitoring of key metrics across teams.

Proactive Insights, Alerts, and Triggers

Identify trends, outliers, and key hotspots that require attention to push insights and trigger automation within existing systems. Synchronize CRM profiles and metadata to generate automatic summaries, reducing manual effort and ensuring timely action on critical issues.

Adaptive AI Orchestration

Balance cost and processing efficiency by using lightweight AI models for broad analysis and reserving advanced models for critical insights. Allocate resources in real-time to efficiently to deliver prioritized, high-quality insights at reduced operational costs.

Data Synchronization

Connect securely with SaaS platforms like Zendesk, Salesforce, and Snowflake, enabling seamless CRM data syncing, customizable data cleaning, and extraction. Scheduled reports and exports through an enterprise API ensure reliable, up-to-date information across systems.

Bring Your Own Cloud (BYOC)

Leverage managed infrastructure directly within your cloud environment, co-locating generative AI models in your data tenancy. With AWS Marketplace deployment and built-in cost visibility and minimization, BYOC ensures seamless integration and cost-effective operations.

Frame AI Enterprise API

A MATCH MADE IN
DATA HEAVEN

Partners with Twillio and the AWS Marketplace

Clients can trust Frame AI’s Enterprise API–which enables the Frame AI platform to be efficiently and seamlessly incorporated into their existing data infrastructure and systems and delivers:

Seamless Compatibility with Existing Systems

Flexible and Customizable API Functionality

Security and Compliance Assurance

Dedicated Support and Consultation Services

Security and Compliance Assurance

Rapid Deployment and Time-to-Value

Continuous Updates and Improvements

RAG vS. STAG

From Reactive to
Proactive

Learn how AI is rewriting the Rules of data insight and how shifting to proactive AI means faster, smarter decisions, powered by future-ready data.”

industry
leaders
giving their
data a voice

The world’s best product teams use Frame AI to drive product development with AI-powered customer intelligence.

“Frame AI's STAG architecture and real-time natural language processing has empowered our customers to unlock the full potential of their unstructured data. The automation and insights powered by Frame AI are transforming operations, improving customer experiences, and ultimately achieving superior business outcomes. It's a game-changer for our customers.”

Matt Davey
MD Technology, Gitlab

“Frame AI has enabled us to address customer needs more swiftly and efficiently, resulting in quicker response times and increased satisfaction rates. Monitoring our customer communication in real-time has allowed us to deliver outstanding customer experiences more consistently and effectively, while also recognizing when our team is delivering exemplary customer service.”

Matt Davey
MD Technology, Gitlab

“Frame AI has been instrumental in helping us prioritize resources and optimize operational expenses. We’ve been able to improve customer experiences and improve efficiency at the same time— exactly what we were hoping to achieve.”

Matt Davey
MD Technology, Gitlab

“Frame AI’s STAG architecture seamlessly integrates into our workflows, allowing us to analyze and prioritize issues in real-time, which means we can resolve problems faster and keep our users happy.”

Matt Davey
MD Technology, Gitlab

“As an AWS customer, we’re happy to see we can use our credits to leverage Frame AI’s predictive automation capabilities to anticipate our customers' needs before they even ask. This proactive approach has not only improved our responsiveness but has also enabled us to build stronger, more trusting relationships with our clients.”

Matt Davey
MD Technology, Gitlab

SOLUtions

one platform, solutions for every team

Empower your entire organization with a single platform that adapts to the needs of every team: streamline workflows, enhance collaboration, and drive smarter decision-making with unified, real-time insights.

Cost Driver Detection

Profile Traits and Campaign Triggers

Customizable Account Alerts

Automated Quality Assurance

Triage for Compliance

CSAT Insights and Predictive CSAT

Product Feedback

Contact Center Dashboard

Frequently asked
questions

What is Frame AI?

Frame AI is the leading Streaming Generative AI Platform for enterprise companies. Frame AI helps major brands and software companies transform unstructured data and natural language customer interactions into proactive insights, working through existing systems and infrastructure. Frame AI’s platform is the premier implementation of Stream-Trigger Augmented Generation (STAG), a breakthrough architecture designed to apply Generative AI to massive volumes of streaming data. Drawing on experience analyzing billions of customer interactions for leading technology and communications platforms, Frame AI empowers marketing, CX, and product teams with tailored AI strategies.

How does Frame AI transform unstructured data into proactive insights?

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.

What is unstructured data?

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.

What is Stream-Trigger Augmented Generation (STAG) and how does it benefit businesses?

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.

Who can benefit from using Frame AI's platform?

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.

How does Frame AI tailor its platform to the needs of every business?

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.

How does Frame AI ensure the safety and security of my customer data?

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.

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