Another personal AI assistant has launched — Meet Tab, which emerged from stealth with a $300M valuation

Tab officially left stealth this week, backed by a $300 million valuation and a seed round that includes SV Angel, Valar Ventures, and American Spirit. The startup was founded earlier in 2026 by Brennan Erbz, Stafford Schlitt, and Ammar Amdani, who describe Tab as a text‑based personal assistant that can place orders, schedule appointments, and even make phone calls on a user’s behalf. Unlike many AI chatbots that simply provide information, Tab claims to execute actions directly, using a dedicated phone number, a virtual “computer,” and a secure wallet that never exposes the user’s payment data to the model. The company says it never uses customer interactions to train its underlying AI, positioning trust as its core differentiator.

The launch lands amid a surge of consumer AI assistants such as Instinct and Meta’s Muse, all vying to become the default digital concierge for everyday chores. While larger firms can leverage massive data pipelines to improve language models, Tab is betting that privacy guarantees and a “you‑approve‑everything” workflow will attract users wary of data‑harvesting practices. This approach mirrors a broader industry shift where startups try to carve niches by offering tighter security and consent mechanisms rather than purely superior conversational ability. The emphasis on a phone‑based, text‑only interface also sidesteps the need for dedicated hardware, allowing rapid adoption on existing messaging platforms.

If Tab can convert its word‑of‑mouth buzz into a sustainable user base, it could force competitors to rethink how they handle personal data and transaction authority. However, the model’s reliance on user consent for every action may introduce friction that slows adoption, especially compared to more seamless, albeit less private, services. Regulators are increasingly scrutinizing AI that can initiate financial transactions, so Tab’s “vault” architecture could become a selling point—or a liability if the separation between AI and payment data is deemed insufficient. Watch for the upcoming product rollout, the company’s ability to scale its backend without compromising its privacy promise, and whether investors push for broader integrations beyond iMessage and WhatsApp.