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This document provides you an overview of the Orbita platform, its positioning, key differentiators, an overview of solution modules and key capabilities, and many more.
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Introduction
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Orbita is a conversational AI platform for healthcare, helps organizations tap the power of voice, chat, and other conversational interfaces for digital help.
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Orbita’s conversational AI platform is a cloud-based software-as-a-service (SaaS) platform and is built on the Amazon stack but it is vendor-agnostic - ; meaning it is not tied to any particular framework or channel.
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Its capabilities are designed for business users empowering them to manage and deliver conversational experiences and bring those solutions to market efficiently.
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What you can do?
Orbita platform has modules and capabilities to support the activities that span the various phases of the project lifecycle design, built, manage and optimize.
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Develop and Manage using Orbita Platform
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Design
In the design phase, the The individuals may be creating early-stage conversational designs of prototypes collecting feedbacks, iteratingand collect feedback.
Build
In the build phase, they are developing conversational models, integrating with 3rd party systemsystems, creating business logic to support these specific use-cases of the project.
Manage
In the manage This phase , includes managing, testing, and deploying across the channel.
Optimize
In optimize phase, understanding Understanding user engagement, testing still in improving relevance and accuracy based on the understanding of the user engagement .
Omni-Channel Support
As mentioned earlier, orbita is channel-agnostic; it's not tied to any particular vendor or framework. Its omnichannel, multi-modal omnichannel (frame to its body to)
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interface with any type of conversational channel. Multimodal referring to its ability to support multiple modes of interactions such as voice, chat, text, and even touch or gesture.is done at this phase.
What it can do?
Why Orbita?
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Healthcare and Life sciences focus
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Orbita has a healthcare and life science focus. Orbita has a healthcare content strategy vowed into our product and a business model. This includes the partnership with trusted content providers such as the mayo clinic and others. What this means is that orbita
Orbita can offer a clinical-grade health knowledge base and ontologies from these trusted partnership power conversational experiences specifically designed for healthcare and life sciences applications.
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Orbita focuses on experience management whereas other platforms may be more focused on developers, and empowering developers, orbita Orbita is more focused on empowering non-technical business users giving those individuals the ability to really contribute in meaningful ways to conversational experiences, for .
For example, subject matter expert experts are empowered to empower the manage the knowledge base of content that could then empower the conversational question answers tosystem.
Security
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We take security extremely seriously at orbitaOrbita, we have an entire security team (VPN) security complaintscompliance, ensuring that we have the infrastructure and business processes in place to ensure data privacy, security, etc.
Enterprise-Ready
Orbita is enterprise-ready: It can integrate with EHR, CRMs and other third-party content providers even connect with IoT devices and other variableswearables.
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Omni-Channel and Multi-Modal
Orbita is channel-agnostic; it's not tied to any particular vendor or framework. It is omnichannel and multi-modal as I touched on earlier omnichannel multimodal meaning it .
Omnichannel - Its ability to interface with any type of conversational channel.
Multimodal - Its ability to support multiple modes of interactions such as voice, chat, text, and even touch or gesture.
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It can reach patients and individuals where they are anywhere on the devices that they are using day-to-day.
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Platform architecture
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Core Platform Modules
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So let's take a look at the The platform from the ground up what are the key layers to be aware of at the bottom layer , you have the platform layer at the bottom and this offers lower-level components and capabilities focused more on Natural Language Processing, Alerts and , notifications, this and so on. This is also where we have APIs and SDKs available.
Orbita has full rest API and SDK available for interfacing with capabilities on the orbita Orbita platform.
Core product Modules
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on top of thatthe core platform modules, we have core product modules. This is where we have the key module modules that are used in most of the project experienced designer flow studio, orbita answers, orbita insights and others that you learn more about in subsequent modulesprojects such as the Experienced Designer, Flow Studio, Orbita Answers, Orbita Insights, and others.
Optional modules
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and finally on On top of that the core product modules, we have our optional product modulemodules. These are the modules that may play a role inside the project projects based on the needs and requirements of the those specific projects.
Solution modules
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Sitting on the top of the orbita platform we have our solutions and our solutions are just that our accelerators build solution modules. The solution modules are the accelerators that are built on top of the platform built to solve specific business problems for specific markets.
For example solutions , we have our the digital front door solution for providers, the HCP the a support solution for life sciences, and others.
Architecture
On final platform slide i am going to show here is the The below architecture diagram that highlights the extensibility of the Orbita platform.
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and we We think of extensibility in three ways: extensibility listening, understanding and adapting. First the listen layer with regards ; extensibility in:
Listening,
Understanding, and
Adapting.
Listening
The Listen layer refers to the types of channels and devices that are supported (really most any . Any type of ) conversational interface can be supported.Second the
Understanding
The understanding layer focuses on the type of processing thats that is happening to understand the context meaning and (intent), what’s been said by the individual. and Orbita can interface with the built-in services but also and supports the third-party API integration hereas well.
Adapting
and third the The adapt layer focuses on dialogue selection and dialogue selection which can either happen:
deterministically where business rules that might be defined in
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the Flow Studio or the Orbita Answers really driving the conversational dialogue or
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based on AI where
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the machine learning model is making a more probabilistic
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determination of the best response to the individual
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So where can you go for For additional information, visit orbita.help is the best place to go this is . This is where you will be able to find additional videos on each of the modules' concepts, solutions, capabilities are described in this video.
Thank you so much, and much more.
Key Messages
How Orbita positions the platform through vendor-agnostic platform capability aimed at enabling business users to configure and deploy conversational solutions to market
Orbita’s key differentiators - 100% health-centric; enterprise platform; built for business users; omnichannel and multimodal; secure
Orbita’s key layers - Platform layer, Core product modules, Orbita Accelerators; Orbita Solutions
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