Vinod Khosla backs Wajo’s AI agent Fo for trust and safety edge

Vinod Khosla, founder of Khosla Ventures, has publicly endorsed Wajo, a startup building AI personal agents with a focus on trust and safety. Wajo’s agent, Fo, competes with Meta’s Muse and OpenAI’s Dot, offering cross-platform task automation and privacy features like virtual credit cards. The startup has grown rapidly in 107 countries since its September launch.

Khosla’s bet on Wajo

Vinod Khosla, founder of Khosla Ventures, has publicly thrown his support behind Wajo, a startup developing AI personal agents. Khosla believes Wajo’s emphasis on trust and safety will position it as a leader in the competitive AI agent market, according to TechCrunch. The startup was founded by Shivani Poddar, a former engineer at DeepMind, Meta, and Google.

Wajo’s AI agent, Fo, is designed to handle tasks like scheduling, payments, and interactions with businesses, competing directly with Meta’s Muse, OpenAI’s Dot, and Instinct. Khosla’s backing signals confidence in Wajo’s approach, which prioritizes user control and data privacy.

What Fo can do

Fo, Wajo’s AI agent, operates across multiple platforms, including iMessage, WhatsApp, and a web interface with task cards. According to TechCrunch, it organizes tasks into categories such as scheduling, gifting, and "life admin," and can call businesses or individuals on a user’s behalf to book or cancel services.

The agent can also create virtual credit cards to make payments without disclosing the user’s personal or financial details. Wajo has applied for a patent for this virtual card system, which it claims enhances privacy and security. Fo can even hire human assistants to complete tasks when necessary, blending AI automation with human oversight.

Fo has its own email address and can communicate with people and businesses independently. When blocked by websites or services that prohibit AI agents, Fo notifies users to take action or creates a group chat involving the user and the business for verification.

Growth and safety measures

Since its launch in late September, Wajo has expanded to 107 countries and grown its user base tenfold, per TechCrunch. The startup’s rapid adoption highlights demand for AI agents that can handle complex, real-world tasks.

Wajo has built trust and safety into its core product. In addition to its virtual card technology, the company plans to introduce a "trusted contact" list, allowing users to control whose agents can call them. It also records user preferences, such as requests not to be contacted again, to improve the experience for both users and businesses.

Wajo claims its architecture complies with Amazon’s terms of service, unlike some competitors. This focus on compliance and safety could be a key differentiator as AI agents become more integrated into daily life.

Background

The AI personal-agent market is heating up, with major players like Meta and OpenAI developing competing products. Meta’s Muse and OpenAI’s Dot are among the most prominent, offering similar automation capabilities. However, concerns about privacy, data security, and trust have emerged as critical challenges for the industry.

Wajo’s founder, Shivani Poddar, brings experience from some of the most influential tech companies, including DeepMind, Meta, and Google. Her background in AI and engineering informs Wajo’s approach to building a safer, more reliable AI agent.

What this means

Lazyfounder analysis — our interpretation, not reported fact.

Khosla’s bet on Wajo underscores a growing conviction that trust and safety will be the deciding factors in the AI agent wars. While competitors like Meta and OpenAI race to build the most capable agents, Wajo’s focus on privacy, compliance, and user control could resonate with consumers and businesses wary of handing over sensitive tasks to AI.

For founders, this signals an opportunity to differentiate not just on technical capability but on ethical and operational guardrails. Startups that can demonstrate robust safety measures—like Wajo’s virtual cards or preference tracking—may gain a competitive edge, especially in regulated industries or use cases involving financial or personal data.

However, scaling trust is harder than scaling technology. Wajo’s approach, while compelling, will need to prove it can handle real-world edge cases without becoming cumbersome for users. If successful, it could set a new standard for responsible AI deployment.

Key takeaways

• Vinod Khosla has publicly endorsed Wajo as a leader in the AI personal-agent market due to its trust and safety features.
• Wajo’s Fo agent competes with Meta’s Muse and OpenAI’s Dot, offering cross-platform functionality and tasks like payments and scheduling.
• Fo operates in 107 countries and has seen 10x growth since its late September launch.
• Wajo emphasizes privacy, including patent-pending virtual card technology and user preference tracking.
• The startup was founded by Shivani Poddar, a former engineer at DeepMind, Meta, and Google.

FAQ

What is Wajo?

Wajo is a startup developing AI personal agents designed to automate tasks like scheduling, payments, and interactions with businesses. Its flagship product, Fo, competes with Meta’s Muse and OpenAI’s Dot.

Who founded Wajo?

Wajo was founded by Shivani Poddar, a former engineer at DeepMind, Meta, and Google.

What makes Fo different from other AI agents?

Fo emphasizes trust and safety, including patent-pending virtual card technology, user preference tracking, and compliance with platforms like Amazon. It also blends AI automation with human assistance when needed.

How has Wajo grown since its launch?

Wajo has expanded to 107 countries and grown its user base tenfold since its launch in late September.

What tasks can Fo perform?

Fo can handle tasks like calling businesses, scheduling appointments, creating virtual credit cards for payments, and communicating via email or messaging platforms like iMessage and WhatsApp.

Why is Vinod Khosla backing Wajo?

Khosla believes Wajo’s focus on trust and safety will help it stand out in the competitive AI agent market, particularly as concerns about privacy and data security grow.

Related on Lazyfounder

• Meta
• Google
• Amazon
• More ai news