1.5 billion+
automated conversations per year
1000+
prebuilt toolkits to use out of the box
80%
of users are non-developers
10,000+
enterprise AIs deployed
GSX is the multi-agent system for building and orchestrating AI agents to support hundreds of use cases.
automated conversations per year
prebuilt toolkits to use out of the box
of users are non-developers
enterprise AIs deployed
The OneReach.ai Cognitive Architecture (the “AI OS”) provides five things that are prerequisites for delivering on the promises of AI and automation in the enterprise.
Enterprises are leveraging AI, automation, and digital channels across a complex landscape of SaaS platforms and data sources. The OneReach.ai Cognitive Architecture is purpose-built to unify this complexity.
Rather than adding another layer of tooling, the OneReach.ai Cognitive Architecture acts as the intelligent connective tissue, turning distributed systems, models, and channels into a coherent, governable, and scalable AI operating environment.
Cohesive user experiences that span channels and time
Personalized, contextual experiences across channels
Invokes the most appropriate service(s) at runtime
A fundamentally new relationship between people and machines
Involve people where they need
Cohesive user experiences that span channels and time
Personalized, contextual experiences across channels
Invokes the most appropriate service(s) at runtime
A fundamentally new relationship between people and machines
Involve people where they need
What does it take to deploy generative AI at scale?
A complete agent runtime + platform—three layers of technology are integral to generative AI deployments.
OneReach.ai offers end to end solutions for the Orchestration (2) and Interface (3) layers. Our open, flexible platform also lets organizations use best of breed Infrastructure (1) technologies to suit their specific technology needs. The result is streamlined creation and fluid management of advanced conversational AI solutions.
1. Infrastructure
Foundational technologies: databases, Large Language Models (LLMs), AI models, and other essential backend services that support and power AI functionalities.
2. Orchestration
Management and coordination of underlying technologies in the infrastructure layer. A complete agent runtime facilitates efficient data flow, task execution, and resource allocation across AI systems.
3. User Interface
Enables users to interact with capabilities across channels: voice interfaces, graphical user interfaces, web chat, SMS, platforms like Teams, WhatsApp, and Slack, etc
Native Channel Integrations
Consistent and reliable communication across channels: Shared library with 700+ steps, including deep channel integrations so you can take advantage of native channel functionalities where it matters most.
Cognitive Services
Amalgamate the best cognitive services on the market and easily adopt new innovations as soon as they become available using the OneReach.ai cognitive architecture.
Information Retrieval
Augmenting your LLMs with Memory and Plug-ins for Scalable eEnterprise- wide Knowledge Management.
Multimodality
Seamlessly use any combination of channels sequentially or in parallel with shared context that spans time and channels while preserving conversational state.
No-Code/Low-Code/Full-Code
Visual drag-and-drop programming increase inclusivity and speed in designing and building. Create incredibly sophisticated conversational applications with no coding required, but pop the hood if you’d like to get into developer mode.
900+ pre-built patterns that are ready to operationalize in minutes, or iterate from editable templates, and reusable components.
We used to have to focus our conversational AI design around what was possible with the technology. Finding OneReach.ai meant that the technology melted away for the first time. We could focus on the best experience for the user, not what the technology partners were capable of.
