The funding round, led by Lightspeed and Bessemer with participation from Nvidia and Dell, will be used to scale doubleAI’s Maxwell model that accelerates software performance.

Tel Aviv‑based doubleAI has secured a $200 million Series A round to accelerate the rollout of its Maxwell model, an AI‑driven platform that automatically optimizes code for faster software performance.

Funding round details

The round was led by venture firms Lightspeed and Bessemer, with strategic participation from Nvidia and Dell. The $200 million injection will fund scaling of doubleAI’s Maxwell model, expand its engineering team, and broaden go‑to‑market efforts across North America and Europe.

Why Maxwell matters

Maxwell leverages large‑language‑model techniques to analyze source code, identify bottlenecks, and rewrite critical sections for optimal execution on CPUs and GPUs. Early adopters report up to 30 % speed gains without manual refactoring, a benefit that could reshape performance‑critical industries such as fintech, gaming, and autonomous systems.

Strategic investors’ rationale

Nvidia’s involvement signals confidence that doubleAI’s technology aligns with its AI compute roadmap, while Dell sees an opportunity to embed Maxwell into its developer‑focused hardware solutions. Both investors are positioned to provide go‑to‑market channels and co‑development resources.

  • Accelerate software performance without manual code changes
  • Reduce development time and cost
  • Enable broader adoption of AI‑optimized workloads

The funding also paves the way for doubleAI to integrate with major cloud platforms, offering developers a plug‑and‑play service that can be invoked directly from CI/CD pipelines.

For readers interested in broader AI trends, the AI category on uxc.news aggregates the latest developments in machine‑learning applications across industries.

Additional context on Nvidia’s strategic moves can be found on its Momentum page.

“DoubleAI’s Maxwell model represents a new frontier in automated code optimization, bridging the gap between AI research and practical software engineering,” said a spokesperson for Lightspeed.

SiliconANGLE coverage of doubleAI Series A