Orby AI
Generative process automation platform built on a proprietary Large Action Model that observes how people work, then generates code to automate enterprise workflows. Acquired by Uniphore in 2026.
Orby AI is a generative process automation platform built on a proprietary Large Action Model, founded in Mountain View by chief executive Bella Liu, who led AI product at UiPath through its public offering, and chief technology officer Will Lu, formerly head of cloud AI engineering at Google. It raised thirty five million dollars from investors including New Enterprise Associates, Pear, Wing, and WndrCo, and deployed to Fortune 50 and Fortune 500 companies for mission critical work like finance auditing and legal contract review. In early 2026 Orby was acquired by Uniphore, folding its research and technology into Uniphore's Business AI Cloud.
Orby's core is its Large Action Model, called ActIO, which the company describes as the industry's first large action model foundation for the enterprise. Unlike language models that interpret text, a large action model observes actions. ActIO watches a user work, analyzing clicks, forms, buttons, keystrokes, screenshots, and page structure, then generates the code to automate that workflow, adapting as circumstances change. This is paired with a visual grounding model, developed with Ohio State University and open sourced, that connects what the agent sees on screen to what it understands, giving it genuine command of graphical interfaces.
The company calls its category generative process automation, positioning it as a no rules alternative to rule based robotic process automation. Where legacy automation breaks when a screen changes, Orby's model reasons about intent and handles exceptions, breaking complex processes into smaller tasks and executing them with minimal supervision. It works across any application by observing the interface rather than requiring deep custom connectors, and it orchestrates specialized agents for sub tasks like data analysis. A Fortune 500 finance team used it to move from auditing ten percent of expense receipts to one hundred percent, saving four million dollars a year.
Orby uses a Guided Autonomy framework, where agents first work alongside human reviewers and require approval, with oversight decreasing as the model learns from feedback. Its greatest strength is genuine computer use, driven by that action model and visual grounding, plus autonomous workflow generation. As a focused automation engine rather than a broad enterprise platform, several capabilities were not documented, including named security certifications, on premises deployment, and a public extensibility surface. Following the Uniphore acquisition, its technology now advances within a larger business AI platform.
Vendor details
Canonical URL
https://orby.ai
Category
Agent builder
Company status
acquired
Use cases & customers
In practice
A finance team could only audit ten percent of expense receipts with brittle rules. After an auditor showed Orby the process once, its action model generated a workflow that audits one hundred percent, saving four million dollars a year through fraud detection.
A legacy web portal has no interface to connect to. Orby's visual grounding lets its agent see the screen and operate the portal like a person, navigating and entering data without fragile screen scraping that breaks on change.
An agent hits an unusual case mid workflow. Under Guided Autonomy it pauses and pops up a window asking the human reviewer for feedback, then incorporates that guidance and improves its handling of similar cases over time.
Agentic Index coverage score
5.0 / 14 capabilities · 36%
| Integrations & Tool CallingOrby works across any application by observing the user interface and orchestrates specialized agents for sub tasks, broad app reach through observation short of a documented library of deep application programming interface connectors, so partial. | Partial |
|---|---|
| Workflow OrchestrationOrby autonomously generates and executes multi step workflows, breaking complex processes into sub tasks and orchestrating specialized agents with reasoning, judgment, and decision making, so full. | Full |
| Knowledge Grounding & RAGOrby's model grounds in multimodal context including documents, screenshots, and unstructured data through visual grounding to act accurately, real grounding short of a documented citation grounded knowledge retrieval system, so partial. | Partial |
| Human Oversight & GuardrailsOrby uses a Guided Autonomy framework where automations require user approval and can be modified, and the agent escalates uncertain cases to a human for feedback, strong oversight short of a documented runtime guardrail enforcement engine, so partial. | Partial |
| Security, Identity & GovernanceOrby is deployed at Fortune 50 and 500 enterprises and cites security and privacy as priorities, but named security certifications, identity governance, and role based access could not be verified. | Unable to verify |
| Observability & AuditabilityOrby gives complete visibility into automated processes like auditing and monitors its model in production, real observability short of a documented full per action agent decision audit trail, so partial. | Partial |
| Memory & State PersistenceOrby continuously learns and adapts from user actions and feedback, improving its automations over time, real online learning and adaptation short of a documented persistent cross session agent memory store, so partial. | Partial |
| Deployment & Data ResidencyOrby is deployed as an enterprise platform built on cloud infrastructure, but a self host, on premises, or documented dedicated data residency deployment could not be verified. | Unable to verify |
| Prebuilt Agents, Templates & PacksOrby ships prebuilt automation for common workflows like invoice processing and expense auditing and orchestrates specialized sub task agents, a real prebuilt capability short of a browsable marketplace of cloneable agents, so partial. | Partial |
| Triggers & Channel CoverageOrby automates learned workflows within enterprise applications, but scheduled or event driven triggers and broad channel coverage could not be verified. | Unable to verify |
| Model Flexibility & RoutingOrby runs its own proprietary Large Action Model called ActIO, but user facing multi provider model routing or selection could not be verified. | Unable to verify |
| APIs, SDKs & MCP ExtensibilityOrby open sourced its UGround visual grounding research model, but a documented public application programming interface, software development kit, or Model Context Protocol server for the platform could not be verified. | Unable to verify |
| Testing, Debugging & OptimizationOrby benchmarks its own model and incorporates user feedback to refine automations, but a customer facing agent testing, simulation, or evaluation framework could not be verified. | Unable to verify |
| Browser & Computer UseOrby observes and replicates user actions across any application using screenshots, clicks, keystrokes, and page structure, with a purpose built visual grounding model for graphical interface agents, so full. | Full |
The Agentic Index coverage score grades every vendor Full, Partial or Unable to verify against the same 14 buyer facing capabilities, from public evidence only. Each capability links to how all vendors in the index score on it. How this evidence is graded
Pricing
Contact for pricing (now via Uniphore)
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Alternatives to Orby AI
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Similarity is computed from each vendor's Agentic Index coverage score evidence, axis by axis, not from the totals. How this evidence is graded