Impala AI, an Israeli startup, has come out of stealth mode after raising $11 million in a Seed funding round led by Viola Ventures and NFX. The company focuses on building infrastructure to help large businesses use artificial intelligence more effectively.
Impala AI has created a new platform for running large language models (LLMs). This platform is designed to lower costs while giving companies greater control, flexibility, and scalability when using AI.
The funding will be used to grow the team, develop the product further, and attract large companies that struggle with the high costs of operating AI systems.
Impala is led by CEO Noam Salinger, who previously worked at Granulate (bought by Intel), and CTO Boaz Touitou. The company is building what it calls an “AI stack for inference at unlimited scale.” Its special inference engine lets companies run large language models (LLMs) inside their own secure cloud environment, giving them a serverless experience while keeping full control over their data and systems.
Impala says its technology can make running AI models up to 13 times cheaper per token than current platforms, without slowing performance or reducing reliability. The company’s first project will focus on improving data processing.
Recent market reports predict that the AI inference market will grow to $106 billion by 2025 and exceed $250 billion by 2030. It is also expected to become a bigger cost challenge for businesses than AI training.
Impala wants to meet the growing demand for AI by solving the problem of limited GPU availability. Its platform provides an infrastructure layer that can easily scale across different cloud services and regions.
The system runs directly within a company’s own environment helping organizations stay compliant and in control of their data. This setup also avoids the privacy and security risks that can come from using outside AI providers.
“We’re at the dawn of a new era in AI, where inference will be the driving force behind the next wave of innovation,” Salinger said. “Our mission is to build the infrastructure that powers AI at real-world scale, smarter, faster, and more cost-effectively than ever before.”
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