Prosperity7 Ventures Backs Gimlet Labs to Scale AI Infrastructure

  • Saudi’s Prosperity7 Ventures participates in Gimlet Labs Series A round
  • Gimlet Labs develops next-generation AI inference infrastructure with up to 10x performance gains
  • Investment reflects rising MENA interest in deep tech and AI infrastructure

Prosperity7 Ventures, the diversified investment arm of Aramco Ventures, has participated in a Series A funding round for Gimlet Labs, a San Francisco-based applied research lab focused on next-generation AI infrastructure.

The round was led by Menlo Ventures, with participation from Eclipse Ventures, Factory, and Triatomic Capital.

Solving the AI Inference Bottleneck

Gimlet Labs is tackling one of the most critical challenges in AI today: inference. As AI systems evolve toward agentic workloads and large-context models, reducing latency and improving efficiency has become essential.

The company focuses on rethinking how hardware and software interact to deliver better performance at scale.

Heterogeneous Compute for Performance Gains

At the core of Gimlet Labs’ technology is a multi-silicon inference cloud built for heterogeneous compute.

Through an advanced orchestration layer:

  • Workloads are matched to the most suitable hardware
  • Performance improves by 3x to 10x on frontier models
  • Power consumption and costs remain stable

Strategic Relevance for MENA

This investment highlights the growing role of MENA investors in the global AI ecosystem. As Saudi Arabia and the UAE continue investing heavily in AI infrastructure and data centers, Gimlet Labs’ approach offers a practical framework for optimizing compute efficiency.

About Prosperity7 Ventures

Prosperity7 Ventures is a $3 billion global venture capital fund under Aramco Ventures, focused on backing next-generation technologies and scalable business models.

About Gimlet Labs

Gimlet Labs is an applied research lab building next-generation AI infrastructure through multi-silicon cloud systems designed to optimize performance and efficiency.

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