Orby AI
Agentic process automation, now inside Uniphore
Overview
Enterprise agentic-automation startup built on a Large Action Model that learns workflows by observation. Acquired by Uniphore in August 2025 and folded into its Business AI Cloud.
What you can produce with Orby AI
- ActIO Large Action Model for agentic tasks
- Learns workflows by observing users (no scripting)
- Agentic process discovery
- Neuro-symbolic reasoning
- Targets finance, procurement and back-office ops
- Now delivered via Uniphore Business AI Cloud
ASEAN Perspective
Orby AI in Southeast Asia
ASEAN-region availability and pricing notes coming soon. Drop the editorial team a note via /contact/ if you can supply local context (Singapore/Malaysia/Indonesia/Thailand/Vietnam).
Orby set out to replace brittle script-based RPA with a Large Action Model (ActIO) that learns finance and back-office workflows by watching people do them, then reproduces the steps. The team, heavy on ex-DeepMind and Google research talent, raised about $34.5M, led by a $30M Series A from NEA, Wing VC and WndrCo. In August 2025 Uniphore acquired Orby (alongside Autonom8) and rolled the technology into its Business AI Cloud, so "Orby AI" no longer exists as a product you can buy on its own. If you're weighing the observe-and-automate approach, you're now weighing Uniphore's platform, its enterprise sales motion, pricing and roadmap. Treat any standalone Orby pitch as out of date. There's no self-serve tier, no public pricing, and no evident ASEAN data-residency story.
What people say
Independent user reviews are scarce. Orby sold to enterprises through direct sales and never built the self-serve footprint that generates G2 or Capterra volume, so most of what's public comes from funding coverage and analyst profiles rather than customers.
The through-line in that coverage is the technology bet. Orby's pitch was "generative process automation": instead of engineers scripting every click, its ActIO Large Action Model observes how staff complete a task and learns to repeat it, adapting when screens change. VentureBeat, SiliconANGLE and others framed it as an AI-native answer to the fragility that has dogged traditional RPA vendors like UiPath and Automation Anywhere. Founded in 2022 by researchers with DeepMind and Google backgrounds, the company raised roughly $34.5M, headlined by a $30M Series A co-led by NEA, Wing VC and WndrCo.
The defining event for anyone evaluating Orby today is the August 2025 acquisition by Uniphore, announced alongside the purchase of Autonom8. Uniphore said the deal brings "Large Action Models, neuro-symbolic reasoning and agentic process discovery" into its Business AI Cloud, with early-access programs planned for select enterprise customers. Financial terms weren't disclosed. In practice the Orby brand and standalone product are being absorbed; buyers now engage Uniphore, not Orby.
What we couldn't verify: real-world accuracy on production workflows, implementation timelines, or total cost. Orby never published pricing, and there's no meaningful body of customer testimony citing connect rates, error rates or ROI. Practitioner skepticism about Large Action Models generally, that demoed workflows are cleaner than messy production environments, applies here and remains untested in public.
For a directory reader, the practical read is this: the research was real and the team credible, but this is no longer an independent product. If the observe-and-automate model appeals, evaluate it as part of Uniphore's platform, on Uniphore's enterprise terms, and ask pointed questions about which Orby capabilities have actually shipped into the combined offering versus which are still roadmap.
Summary of public user & expert reviews, compiled by RECATOOLS.
About this listing
This entry was compiled from publicly available data including Orby AI's official website, press releases, documentation, and reputable third-party publications. RECATOOLS is not affiliated with Orby AI unless explicitly stated.
Third-party AI tools update their pricing, features, availability, and policies frequently. Information here may be outdated by the time you read this — we make reasonable efforts to keep listings current, but cannot guarantee absolute accuracy.
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