Applied Compute Hits $3.25B Valuation In $350M Round | Elad Gil Leads

Analysis

Applied Compute Inc. has raised $350 million at a $3.25 billion valuation, led by angel investor Elad Gil, SiliconANGLE reported.

The company said in its own announcement that annualized recurring revenue has topped $100 million less than 18 months after it was founded.

What Applied Compute does

Applied Compute was launched by three former OpenAI researchers -- chief executive Yash Patil, who previously worked on OpenAI's Codex programming assistant, along with Rhythm Garg and Linden Li -- with an initial $80 million round in October 2025 that did not disclose a valuation, per SiliconANGLE's earlier report. The company's platform, AC2 (the Applied Compute Agent Cloud), bundles model training and inference into one system built around asynchronous reinforcement learning, which runs data generation and weight adjustment simultaneously rather than in separate steps. Other features include self-distillation, which removes the need for a separate teacher model, an autoscaling inference engine, and Shift-1, a router that sends each incoming request to the most cost-efficient large language model and can split complex tasks across several models at once. The company says customers including Microsoft, Shopify, Mercor, Harvey, DoorDash, Cognition, Clay and Decagon are already using the platform.

Applied Compute funding history

The October 2025 seed-stage round of $80 million came with no disclosed valuation. Thirteen months later, this new round represents one of the steepest valuation climbs among AI infrastructure startups this year -- a markup driven, the company says, by crossing nine figures in annualized revenue, not simply by investor appetite for the category.

Who invested in Applied Compute

• Elad Gil -- lead investor on the new $350 million round, continuing his pattern of early, large checks into AI infrastructure companies.
• Nvidia Corp. -- participant; the chipmaker has taken stakes in several AI compute platforms this year, including Fal's recent $1.3 billion round.
• Kleiner Perkins, Lux Capital, Hanabi Capital -- participants named in the company's own announcement.
• Shopify Ventures, HubSpot Ventures -- participants named by SiliconANGLE; both are strategic arms of enterprise software companies, suggesting customer-investor alignment.
• More than a dozen other investors -- unnamed in current reporting.

AI infrastructure market and competitors

Applied Compute's new price tag lands alongside two other AI infrastructure companies that have repriced sharply in recent weeks:

• Traversal -- an AI agent startup for site reliability engineering, raised $120 million at a $1 billion valuation.
• Fal -- an AI inference host, raised $1.3 billion at a $16 billion valuation.

All three are chasing the same thesis -- that the layer between raw GPU capacity and finished AI products is where the next set of infrastructure winners will emerge -- but Applied Compute's pitch is distinct in combining training and inference with a cost-routing layer rather than specializing in one piece. What the valuation number misses is that none of the reporting to date names a direct head-to-head competitor losing share to Applied Compute; the revenue figure is self-reported by the company rather than independently verified, and the list of more than a dozen unnamed investors leaves real gaps in understanding who is actually underwriting the risk. Our own AI valuations tracker shows 2026's AI infrastructure rounds consistently pricing ahead of revenue multiples typical of prior cycles, a pattern this round extends rather than breaks.

What to watch next

The next milestone to track is whether Applied Compute discloses customer concentration -- how much of that $100 million in revenue comes from Microsoft and DoorDash versus the rest of its named customer list -- since AI infrastructure deals can concentrate quickly and are vulnerable to a hyperscaler building the same tool in-house.