Industry insiders have long predicted that the next leap in artificial intelligence lies in proactive systems—agents that can anticipate a user's needs and fulfill them before the user even realizes what those needs are. Now, a startup backed by prominent AI figure Andrew Ng is bringing that vision to the desktop.
IrisGo, which closed a $2.8 million seed round earlier this year led by Ng's AI Fund, is building a desktop companion for PCs that learns daily workflows and automates them with minimal to no human prompting. The company recently launched beta versions of its macOS and Windows apps and has already struck a deal with Acer to preinstall the software on new devices.
How IrisGo Works
IrisGo was co-founded by Jeffrey Lai, a former Apple engineer who helped build the Chinese language version of Siri. The name Iris is a clever reversal of Siri—a nod to its roots in voice assistant technology. The core concept is deceptively simple: show the program how to perform a task once, and it remembers the sequence for future automated use without needing repeated instructions.
During a demonstration, Lai showed how IrisGo could learn to place a coffee order online. The software recorded every step: selecting a latte from Philz Coffee, filling in credit card details, and hitting purchase. Later, when asked to repeat the order, the agent complied on its own. While buying coffee is a trivial example, the real value lies in automating a wide range of business-related tasks. IrisGo includes a built-in “skills” library with capabilities such as email drafting, invoice processing, report building, document summarization, and many other ready-to-use workflows. Additionally, the system continuously learns from user desktop behavior, automatically adding new tasks to its action list.
The application also features a coding assistant, similar in concept to OpenAI’s Codex or Anthropic’s Claude Code, designed to help developers streamline their work.
Targeting Knowledge Workers
IrisGo's primary audience is knowledge workers—white-collar employees in office environments. “There’s a lot of repetitive tasks that those workers do every day,” Lai noted, explaining that despite the power of today’s frontier models, AI-assisted office work can still feel manual and repetitive. The goal is to move toward a fully autonomous workflow where humans focus on high-level conceptual work while agentic systems handle clerical tasks in the background. This aligns with broader industry trends, as companies like Microsoft, Google, and startups such as Adept AI also explore AI agents.
Privacy and Architecture
A particularly appealing aspect of IrisGo is its emphasis on privacy. The system processes a significant amount of data on-device, reducing reliance on cloud servers. Lai described the architecture as hybrid: larger, more complex tasks are processed in the cloud, but only when explicitly authorized by the user and using end-to-end encryption. This approach addresses growing concerns about data security and user control in AI applications.
Backing from Industry Giants
IrisGo gained credibility through association with Andrew Ng, a co-founder of the Google Brain deep learning research team. Lai secured a meeting with Ng through a shared connection—both are Carnegie Mellon University alumni. After a demo, Ng's AI Fund led the seed round, with additional backing from Nvidia and Google. This support underscores the potential seen in IrisGo's proactive AI model.
Background on Andrew Ng
Andrew Ng is a globally recognized leader in artificial intelligence. After co-founding Google Brain, which revolutionized deep learning, he went on to found Coursera, served as Chief Scientist at Baidu, and launched the AI Fund to support startups that leverage AI to solve practical problems. His involvement with IrisGo signals confidence in proactive desktop agents as the next wave of AI assistants.
Competitive Landscape
IrisGo enters a crowded field of AI desktop assistants. Microsoft Copilot integrates with Windows and Office, Google offers Gemini integration in Workspace, and startups like Rewind AI and Mem are building personal memory and automation tools. However, IrisGo differentiates itself with its on-device learning and proactive automation, aiming to reduce the manual effort of setting up workflows.
The company is also pursuing partnerships with other laptop manufacturers to preinstall the app, following the Acer deal. If successful, IrisGo could become a standard feature on new PCs, competing directly with built-in operating system assistants.
Looking ahead, IrisGo plans to expand its skills library and improve its learning algorithms. The team is focusing on making the system more intuitive so that users can teach tasks through natural demonstration. Future versions may include cross-device synchronization and enhanced collaboration features.
As AI continues to evolve, the shift from reactive to proactive systems represents a major step forward. IrisGo's desktop companion aims to be at the forefront of this change, quietly automating the mundane so that humans can focus on what matters most.
Source: TechCrunch News