Automated deep learning.

Chatbots keep getting smarter

Our platform allows you to build generative model smart chatbots with deep learning capabilities that minimize the need for human management over time. Your smart bots learn from each interaction, recording the response and sentiment of the user.

Automatic Intent Identification

Automatically identify user intent from a natural language input through text or voice.

Automatic Response

Automatically respond to users based on user intent through a defined knowledge repository or dynamic API calls.

Pattern Recognition

Automatically identifies patterns of user intentions and provides granular insights to take specific actions.

Multi-lingual Integration

A.ware platform makes it possible to integrate with multi-lingual APIs.

Automatic Metadata Extraction

Automatically extracts metadata like customer IDs, phone numbers, addresses, transaction reference numbers etc. to make API calls or enhance the context.

Automatic Prioritization

Prioritizes certain customer interactions based on sentiment, emotions, product category, and custom metadata.

Automatic Ticketing & Routing

Automatically creates tickets, sub tickets and routes the interaction to appropriate teams in an enterprise.

Primitive communication interfaces force users to spend a lot of time in search of relevant information before buying and using a product or service. In addition, outdated support frameworks are incapable of delivering a consistent and frictionless experience across user touchpoints.

The times are changing and Senseforth.ai is leading this wave of transformation. At Senseforth.ai, we believe that Generative Conversational AI and chatbots are a catalyst for innovation and positive change. We embrace a future where every organization embraces this transformative technology to seamlessly drive meaningful conversations with their customers, employees and other stakeholders.

Senseforth’s proprietary Generative Conversational AI platform A.ware, powers all Generative Conversational AI chatbot solutions that we build. The zero-code platform with pre-built industry AI models and deep domain knowledge ensures our chatbots have industry-leading accuracy right out of the box, while reducing implementation time by up to 50%.

Fabric's Engagement Suite offers an AI-powered virtual assistant that integrates with websites, patient portals, or mobile apps to help patients find the care and resources they need. The assistant integrates with the EMR and is available to patients 24/7. 

The Engagement Suite also offers AI-powered patient outreach for pre- and post-visit use cases. Patent messaging integrates with the EHR to log encounter notes and automatically flag cases and trigger escalation workflows. 

Fabric is a health tech company that powers healthcare providers to move faster, work smarter, and deliver better care through its care enablement system. The system offers three solutions: In-Person Care Suite, Virtual Care Suite, and Engagement Suite. 

Leveraging conversational AI and intelligent adaptive interviews, Fabric unifies virtual and in-person care across intake, triage, routing, and treatment while automating workflows for staff. Built by a team of physicians and clinical informaticists, Fabric protocols uphold excellence in care quality while offering omnichannel access for patients. The results enable clinicians to work 2-10 times faster (dependent on setting), decrease call center volume by 15%, and increase utilization of unfilled visit blocks. 

Some of Fabric’s customers include Luminis Health, OSF HealthCare, MUSC Health, and Intermountain. Fabric is backed by Thrive Capital, GV (Google Ventures), Salesforce Ventures, Vast Ventures, BoxGroup, and Atento Capital.

Fabric's Virtual Care Suite is powered by Fabric's Clinical Intelligence Engine, Loom. Loom is a clinical expert system and conversational ai that captures patient data across channels and automates workflows for clinical and administrative staff. Using automated clinical symptom gathering, Loom generates clinical SOAP notes, treatment plans, visit summaries and more. When applied across 2,000+ unique diagnoses, Loom automates 99% of administrative burden for staff and makes clinicians 2-10x faster at providing care. Additionally, Loom offers clinical decision support to providers to uphold the highest levels of care quality. 

Additionally, Fabric's team of expert clinicians builds and maintains our clinical expert system and content in coordination with our Clinical Quality Advisory Council, a team of 14 practicing clinical executives from around the country. Council members perform reviews of Fabric's evidence-based clinical protocols. Additionally, the council supports ongoing quality assurance efforts and helps establish clinical quality best practices for virtual care. The council also guides in-depth studies around the safety, effectiveness, and value of virtual care.

Fabric's Virtual Care Suite is powered by Fabric's Clinical Intelligence Engine, Loom. Loom is a clinical expert system and conversational ai that captures patient data across channels and automated workflows for clinical and administrative staff. Using automated clinical symptom gathering, Loom generates clinical SOAP notes, treatment plans, visit summaries and more. When applied across 2,000+ unique diagnoses, Loom automates 99% of administrative burden for staff and makes clinicians 2-10x faster at providing care. Additionally, Loom offers clinical decision support to providers to uphold the highest levels of care quality. 

Additionally, Fabric's team of expert clinicians builds and maintains our clinical expert system and content in coordination with our Clinical Quality Advisory Council, a team of 14 practicing clinical executives from around the country. Council members perform reviews of Fabric's evidence-based clinical protocols. Additionally, the council supports ongoing quality assurance efforts and helps establish clinical quality best practices for virtual care. The council also guides in-depth studies around the safety, effectiveness, and value of virtual care.