Tab Emerges From Stealth With $300M Valuation as Personal AI Assistant Market Heats Up
Tab, a new AI assistant that handles everyday tasks through text messaging, has announced its public launch at a $300 million valuation. The startup joins a growing field of consumer AI tools competing to automate personal errands and bookings.
The personal AI assistant space has a new entrant. Tab went public on Tuesday following its emergence from stealth mode, achieving a $300 million valuation, though the startup has not disclosed specific funding amounts. The platform joins competitors like Instinct and Meta's Muse in targeting consumers who want AI to handle routine chores such as restaurant reservations and travel bookings.
Brennan Erbz, Stafford Schlitt, and Ammar Amdani founded Tab earlier this year. According to Amdani in conversation with TechCrunch, the service operates through a straightforward interface: customers send messages to Tab via iMessage or WhatsApp describing what they need—from grocery orders to gift suggestions—and the assistant completes the task.
You text it like you'd text someone you trust and it takes the weight off. The bills, the bookings, the calls you keep putting off, remembering the people you love. It has its own phone number, computer, and wallet, so it doesn't tell you how to do those things. It does then.
Ammar Amdani
The funding round included backing from SV Angel, Valar Ventures, and American Spirit. Amdani noted that Tab is expanding primarily through word-of-mouth marketing and has plans to introduce additional features in the coming months.
Amdani acknowledged the intensifying competition in the consumer AI space. "Everyone is racing to make AI more capable," he stated. He drew a parallel to historical service models, noting that "Your grandparents had a family doctor, a banker, someone who knew them and looked out for them. Most of us don't have that anymore." He suggested personalized AI could fill this gap, but cautioned that success will not simply go to companies with the most impressive demonstrations.
We think the harder question is whether you should let it in.
Ammar Amdani
Amdani emphasized that any AI system capable of reading messages, making calls, or conducting transactions depends entirely on user confidence. He framed Tab's design philosophy around this principle: "Your data is never used to train AI. Your card lives in a vault Tab itself never sees. Nothing that can be undone happens without your 'yes.' Capability is table stakes. Trust is the product."