ORBIT
OUR Process
Client
The client is an Israel-based technology leader and one of the top global providers of advanced AI and data-driven solutions. Their portfolio spans artificial intelligence, data science, data analysis, and deep search technologies, delivered both as end-to-end platforms and as tailored, standalone services. The company supports complex use cases such as machine learning model development, large-scale data analysis, and custom AI training, serving a diverse customer base that includes international enterprises and leading governmental institutions worldwide.
Project goals
To simplify and accelerate the creation, configuration, and operation of AI agents, enabling both technical and non-technical users to efficiently build, manage, and scale intelligent automation solutions with minimal complexity and faster time-to-value.
AI development remains fragmented and resource-intensive, requiring deep technical expertise, complex infrastructure, and lengthy development cycles. Organizations often face high dependency on specialized engineering teams, limited flexibility in experimentation, and slow iteration when building and scaling intelligent automation. This creates significant barriers to adoption, especially for non-technical users and cross-functional teams.
Orbit addresses these challenges by providing a unified platform that streamlines the entire AI agent lifecycle. It combines natural language–driven agent creation, enabling rapid setup without deep technical knowledge, with a visual workflow editor that exposes logic, dependencies, and execution flow. Additionally, scalable multi-agent orchestration allows users to design complex, interconnected systems that reflect real business processes. This integrated approach reduces complexity, accelerates development, and empowers both technical and non-technical users to efficiently build, manage, and scale AI-driven solutions.
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Key features
Natural language–based agent creation
Visual workflow and logic editor
Support for multi-agent and hierarchical systems
Widget-based output visualization
Modular and scalable platform architecture
Results
The platform delivers accelerated AI adoption across teams, reduced development and operational costs, and increased productivity through streamlined workflows. It enables faster experimentation with automation strategies while supporting scalable, reusable solutions across diverse business use cases.