doubleAI Raises $200 Million to Optimize Software Binaries for Enterprise

Tel Aviv-based doubleAI announced it has secured $200 million in new funding to expand its artificial intelligence development efforts. The Series A round was co-led by Lightspeed and Bessemer, with participation from Nvidia Corp. and Dell Technologies Inc. According to reports from CTech, this investment places the company’s valuation at more than $1 billion. The capital will support the commercialization of its core AI model, Maxwell.

In plain English

The central technology behind this investment is an AI model named Maxwell. Unlike traditional programming tools, Maxwell does not require developers to rewrite original source code to improve efficiency. Instead, it analyzes how existing software interacts with data and hardware. The model then applies optimizations directly to the compiled binary files. This approach allows companies to speed up applications without altering the underlying codebase.

The background

DoubleAI, officially known as AA-I Technologies Ltd., has demonstrated Maxwell’s capabilities through several high-profile projects. The model recently solved a long-standing chess challenge and facilitated a new mathematical discovery. In March, doubleAI revealed that Maxwell rewrote Nvidia’s open-source cuGraph library. This change reduced hardware usage and sped up 55% of the library’s algorithms by at least two times.

Maxwell also optimized pandas, a widely used open-source data science toolkit. The AI improved the library’s performance on the PDS-H query speed benchmark by a factor of 38. More recently, the model doubled the video generation speed of the LTX-2.5 world model. These examples illustrate the tool’s ability to enhance diverse software tasks.

What changes now

The company plans to sell Maxwell to enterprises seeking to lower hardware usage for AI workloads. Maxwell supports both graphics processing units and central processing units. By optimizing binaries rather than source code, the model removes the need for manual developer intervention. This method also allows for modifications to applications while they are running in production environments.

Key terms explained

Binary optimization refers to improving software performance after code has been compiled into machine-readable instructions. Teams usually rely on source code changes for efficiency gains, which requires developer time and testing. Binary tools analyze the final executable to find faster execution paths. Check whether your organization’s deployment pipeline supports post-compilation adjustments. This approach can reduce hardware costs by making existing applications run more efficiently on current infrastructure without rewriting core logic.

What to do and how to stay safe: doubleAI

• Review current software licensing agreements to ensure binary modification is permitted under existing terms.
• Identify high-compute workloads that could benefit from performance improvements without source code access.
• Monitor vendor announcements regarding compatibility with specific graphics and central processing units.
• Evaluate security protocols for automated code changes in production environments to maintain system integrity.

Step-by-step guide: Stop AI Chatbots Leaking Sensitive Business Data

General security guidance from the Vector Update newsroom. It is not confirmed advice from the organisations named in this story.

Frequently asked questions

Who led the funding round for doubleAI?

Lightspeed and Bessemer co-led the Series A round, which was joined by Nvidia Corp. and Dell Technologies Inc.

What is the valuation of doubleAI after this funding?

CTech reported that the investment values doubleAI at more than $1 billion.

How does Maxwell differ from traditional optimization methods?

Maxwell applies optimizations to a program’s binary rather than modifying the source code, allowing changes during production.