Cumulus Labs
ActiveThe Fastest Multimodal Inference OS
This company has previously operated under “Cumulus”. A rename frequently marks a pivot in positioning or product — useful raw material for variant ideas.
About
Cumulus Labs lets engineering teams ship AI in production without needing a dedicated ML platform team. Right now, companies building AI products are forced to stitch together separate vendors for routing, observability, evaluation, fine-tuning, and inference. This fragmented approach is brittle, expensive, and is a common reason enterprises fail with AI. We replace that entire stack with a single unified platform. Developers can keep their existing code while instantly upgrading to a unified platform that handles routing, semantic caching, continuous shadow evaluation, simulated data, and one-click fine-tuning. Behind the platform is Ion, our proprietary inference engine running on a custom NVIDIA Grace GPU fleet. Ion uses in-house custom GPU kernels to deliver 30 to 50 percent more throughput than standard vLLM or SGLang, giving our customers SOTA inference economics.
Founders · 2
Veer studied Computer Science at the University of Wisconsin—Madison, graduating in December 2025. During college, he worked at an aerospace startup where he led a Space Force SBIR contract for military satellite communications and contributed to several NASA SBIR programs, two of which were commercialized and are currently being flight tested in space. Before college, he captained his FIRST Robotics Team 5422: Stormgears, qualifying for Worlds all four years.
Suryaa Rajinikanth studied computer science at Georgia Tech, where he concurrently worked at TensorDock as a Lead Engineer, building the first distributed GPU marketplace serving thousands of consumers and businesses. He went on to deploy critical AI systems and infrastructure in high-performance environments at Palantir.
Related startups
AI for AI Infrastructure
Inference at Light Speed
