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Wabi Raises $55M at $1.25B Valuation to Build AI‑Powered Mini Apps

Founder Eugenia Kuyda secures a new round led by IVP, with participation from a16z, Amazon Alexa Fund, and high‑profile angels, to evolve Wabi from a prompt‑based app builder into a personal AI agent that creates on‑demand mini applications.

Wabi logo with AI agent illustration

Wabi, the startup founded by Replika creator Eugenia Kuyda, announced a $55 million Series B that values the company at $1.25 billion. The round was led by IVP and joined by Andreessen Horowitz, Forerunner, the Amazon Alexa Fund, and angels such as Shopify CEO Tobi Lütke, Salesforce CEO Marc Benioff, former Yahoo! chief Marissa Mayer, former Twitter CEO Dick Costolo, and musician Alex Pall.

Originally positioned as a no‑code platform that turned natural‑language prompts into full applications, Wabi pivoted last month to a "personal agent" model. The new version, dubbed Wabi 2.0, acts as an AI messenger that can spin up lightweight mini‑apps for tasks like meal planning, local restaurant tracking, date‑night scheduling, fitness routing, and custom trivia games.

Why it matters for GPU / AI infrastructure

Agentic workflows that generate code and UI on the fly increase demand for low‑latency inference and rapid model serving. Cloud GPU providers will see higher utilization from workloads that repeatedly spin up short‑lived containers to execute user‑generated mini‑apps, reinforcing the need for elastic, high‑throughput GPU clusters.

Investors view the agentic pivot as a strategic bet on the next wave of consumer‑grade AI, where the interface is no longer a static chat window but a dynamic app factory. The participation of infrastructure‑focused backers like the Amazon Alexa Fund signals confidence that the underlying compute stack — especially GPU‑accelerated inference — will be a critical enabler.

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  • mini apps
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By AiGpu Editorial · Editorial rewrite based on public reporting (TechCrunch AI)

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