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Solutions
Description
Compatibility Level
Clients
Product Capabilities
Use cases
EHR integrations
Client types
Differentiators
Keywords
Media
Company details
Jump to:
Categories
Solutions
Description
Compatibility Level
Clients
Product Capabilities
Use cases
EHR integrations
Client types
Differentiators
Keywords
Media
Company details

Categories

Solutions

Description

Product Description:

A no-code hyper-automation environment

A processes automation platform with conversational AI built in, that can handle even your most complex automations:

Sequence any open AI technologies and operate over any channel to support conversational experiences between humans and machines or machines and machines.

The birth of a no-code conversational AI platform

In 2003, our founder built a conversational bot named Cybil as part of an early AI research project.

To those who interacted with Cybil, it was immediately obvious – accessing technology through conversation would transform society. It was just a question of when.

Even seemingly simple prototypes required heavy software engineering and high levels of AI expertise. We knew adoption would be driven by great user experiences, and we could see that the tools just weren’t good enough – they were getting in the way.

After building a successful UX research, design and technology firm that competed with the likes of IDEO and Frog Design, we turned our focus to enabling mass adoption of conversational AI experiences.

An early prototype of our platform quickly became valuable to AI leaders and innovators at global brands, and OneReach.ai was born.

Research and development

The 1st generation of our platform helped us identify key obstacles to creating great conversational experiences.

  • 2,000,000+ hours of testing and use-data
  • 30,000,000+ people
  • 10,000+ conversational applications
  • 500,000+ hours of development

We saw that the bar could be raised even further and rebuilt Communication Studio from the ground up.

CS-G2 has been named twice by Gartner Research as a top conversational AI platform alongside Google, Microsoft, IBM and Amazon.

About OneReach.ai:

Award-winning platform OneReach.ai is the fastest way to make enterprise-grade conversational AI that leverages Generative AI. OneReach.ai’s Co-Founders Daisy Weborg and Robb Wilson are serial entrepreneurs with a recent successful exit of EffectiveUI to Ovilgy in 2012.

OneReach.ai is best known for the company’s award-winning Communication Studio G2 platform. The platform is an enterprise-grade, flexible, no-code powerful AI platform. It is trusted by athenahealth, Expedia, AutoNation, Pepsico, and DHL, among others. 

OneReach.ai is the highest-scoring platform in four out of five Use Cases in the inaugural 2022 Gartner® Critical Capabilities for Enterprise Conversational AI Platforms. Specifically, OneReach.ai was ranked the top performer for voice bot on call center usage, outranking the products of Google, IBM, Cognigy, Oracle, and AWS. 

Gartner: LEADER in 2022 Magic Quadrant for Enterprise Conversational AI Platforms

Fast Company World-Changing Idea, 2020, 2021 

CogX Best AI Product in Telecom, NLP, & General Intelligence, 2022 

Edison Award: Gold Medal for Innovation in AI, 2020 

Edison Award: Gold Medal for Automated Workspace Solutions, 2021 

With headquarters in Denver, Colorado, USA, Berkeley, California, USA, and Kyiv, Ukraine, OneReach.ai has employees in Seattle, the UK, Miami, NYC, LA, and beyond.

Product Description:

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. 

About Fabric:

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.

Compatibility level

Select which hospital or health system you work at and see a personalized compatibility level.

Clients

Select which hospital or health system you work at and see the client list

Product Capabilities

Fabric's Engagement 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. Patient interface with conversational ai that asks questions to identity disposition, gather clinical symptoms to aid in triage, and routes patients to the appropriate point of care.

Fabric reads and writes to the EMR to ensure up-to-date patient information is being used to identify, create, and update patient records.

Fabric complies with all patient privacy regulation and upholds security and compliance standards with our SOC2 Type II Certification.

Fabric's Engagement 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. Patient interface with conversational ai that asks questions to identity disposition, gather clinical symptoms to aid in triage, and routes patients to the appropriate point of care.

Fabric is consistently updating the number of parameters are models are capable of understanding, and we continue to invest in our clinical teams and intelligence engine.

Fabric stays competitive with the latest advancements in AI, while meticulously testing medical relevance and adherence criteria across our products.

Use Cases

Description:

Designer/Builder

Create great conversational experiences, for any channel, powered by the latest AI.

10,000 colors to paint with. With technology out of the way, you’re free to focus on creating great experiences.

Success or failure isn’t measured by latency, your tech stack, or intent-recognition rates. Making great experiences is what counts.

CS-G2’s Designer/Builder tool makes it so much easier to create great experiences, with our without writing code. Designed for a more agile approach to creating conversational applications and process automation.

People with varying technical abilities can work together to more easily create the great conversational applications:

  • Experience designers
  • Developers
  • Data analysts
  • Business leaders

CS-G2 combines rules-based AI and neural networks to allow people to create AI solutions fast and without the need for massive training data sample sets.

By combining the learning capabilities of neural nets and the reasoning power of rule-based AI, XD’s can adapt to new settings and problems with much fewer data. Add in HitL and you can cut upfront training data needs to almost zero.

Shared Library

Browse our library of pre-designed patterns

Tons of patterns and templates, and we’re adding more all of the time.

A lot of problems have already been solved.

You’ll find tons of templates and patterns in our Shared Library, and we’re adding more all the time.

  • The tools you need to make powerful, flexible, scalable solutions without reinventing the wheel.
  • Tons of patterns and templates incorporating best practices into predesigned steps, skills, flows, views and cards.
  • You’ll find anything from specific steps, through to full solutions that you can add to your applications.

Action Desk

Custom reporting tools & management dashboards

Action Desk is more than custom reporting.

It’s about creating real, actionable relationships between your conversational applications and their reporting.

Create custom reporting views, dashboards and widgets that tie into your conversational experiences. Create triggers for automated tasks and realtime analysis and adaptations driven by your data.

Equip your conversational applications to making realtime adaptations to the experiences they offer, based on analysis and triggered events in your custom reports.

Human in The Loop

Custom UI for communicating with customers

Merging AI and humans makes the workforce smarter.

Merging AI and human minds makes the workforce smarter.

Bots work within your customer service agent’s UI’s to help them do their job – agents can ask for their bot for help, query history or get recommended responses, etc. Agents can also moderate bot-managed conversations in real-time, in order to contribute to AI-training and/or step in where human-touch is needed.

Meanwhile, agent’s bots also learn from live human-to-human interactions (via in-line AI training). Agents train bots in real time, helping AI and bots to retain and apply knowledge and skills. The knowledge and skills retained by AI and bots through in-line training can then be disseminated across your organization, to support agents and continually advance the capabilities and success of all your organization’s intelligently automated conversations.

Live Agent cards show context to your agents during live correspondence (order history, customer profile info, etc) – configure new custom cards, or iterate cards from the Shared Library.

Files

Push, pull and store data and files without writing a line of code.

CS-G2’s Files tool handles hosting issues for you.

It was created to support the most convenient experience possible in hosting and serving the files and assets that support your conversational applications. Plus, latency issues are latency – handles hosting issues for you.

Tables

Easy, perminent and accessible storage with low latency.

Low latency, accessible, easy storage for your applications and reporting.

Designed and optimized to make it easier to host and access the data your conversational applications captures and uses, on the back end in interacting with end users.

Pediatric use cases:

None provided

Users:

Not specified

Description:

FAQs, Symptom checking, Triage, Appointment Scheduling, Live chat, Clinic Search, Doctor Search, Patient portal assistance.

Pediatric use cases:

Fabric's symptom checker includes pediatric protocols and care routing.

Users:

Hospitals and health systems provide Fabric's engagement tools to their patients to help guide them to care and resources.

EHR Integrations

Integrations:

None provided

EMR Integration & Relevant Hardware:

None provided

EMRs Supported:

None provided

Hardware Compatibility:

None provided

Integrations:

Acute care EMR, Ambulatory EMR, Ancillary EMR, Patient portal, Website / public online sources

EMR Integration & Relevant Hardware:

Recommended, but not required

EMRs Supported:

Epic, Cerner, Other

Hardware Compatibility:

Desktop, Mobile / Tablet (native app), Mobile / Tablet (web optimized)

Client Types

None provided

Differentiators

Differentiators vs EHR Functionality:

None provided

Differentiators vs Competitors:

None provided

Differentiators vs EHR Functionality:

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.

Differentiators vs Competitors:

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.

Keywords

Images

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Company Details

Founded in 2009

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