Neysa vs CoreWeave

CoreWeave has a disclosed valuation of $49B, while Neysa's valuation is not publicly available, making a direct size comparison difficult. CoreWeave employs 1800 people.

CoreWeave has raised more in total funding at $2.4B, compared to Neysa's $30M — a gap of $2.4B. Combined, the two companies have completed 7 known funding rounds.

CoreWeave leads with an Awaira Score of 95/100, while Neysa sits at 55/100. That 40-point gap reflects real differences in funding, scale, and traction — it's not a vanity metric.

Neysa was founded by Shashank Samala in 2023. CoreWeave was founded by Michael Intrator in 2017. Visit each company's profile on Awaira for a full founder biography.

Neysa: Neysa builds cloud infrastructure purpose-built for AI workloads, offering GPU-accelerated compute, storage, and networking optimized for training and inference at scale. The platform targets enterprises and AI labs in India that need high-performance compute without the cost and complexity of hyperscaler lock-in.\n\nThe company raised approximately $30M in Series A funding and has attracted early adopters across the Indian AI startup ecosystem seeking affordable, low-latency GPU access. Neysa operates its own data centers with an emphasis on cost-per-token efficiency for large model training.\n\nAs Indian AI labs and enterprises scale their model development ambitions, Neysa sits at the center of a critical infrastructure gap. Domestic GPU cloud capacity is severely constrained relative to demand, and Neysa is one of the few India-headquartered players building the physical and software stack to address it. Neysa competes in a rapidly growing Indian cloud GPU market alongside Yotta Data Services, E2E Networks, and global hyperscalers like AWS and Azure. The company differentiates by offering infrastructure specifically architected for AI workflows rather than retrofitted general-purpose cloud compute. With India's AI infrastructure spend projected to exceed $4 billion by 2027, Neysa targets enterprises and research institutions that need sovereign AI compute capacity without dependence on foreign cloud providers. The company's positioning aligns with the Indian government's push for domestic AI infrastructure through initiatives like the IndiaAI Mission. CoreWeave: CoreWeave is a specialized AI infrastructure provider founded in 2017 that has become a major player in GPU cloud computing. The company operates a global network of data centers optimized for artificial intelligence and machine learning workloads, offering on-demand access to high-performance GPUs and compute resources. CoreWeave's platform enables enterprises and AI developers to train large language models, run inference workloads, and deploy machine learning applications without building proprietary infrastructure. The company serves organizations across industries including enterprise AI, research institutions, and cloud-native startups requiring flexible, scalable compute capacity. CoreWeave distinguishes itself through customized infrastructure solutions tailored to GPU-intensive applications, offering various processor configurations from NVIDIA and AMD architectures. The company went public in 2025 and currently carries a valuation of $42.0 billion with total funding of $2.38 billion, reflecting substantial investor confidence in AI infrastructure demand. CoreWeave competes directly with hyperscalers like AWS, Google Cloud, and Microsoft Azure in the GPU compute space, alongside specialized competitors such as Lambda Labs and Crusoe Energy. The company's growth trajectory reflects the accelerating demand for accessible GPU computing as organizations scale their AI capabilities. Its business model capitalizes on the infrastructure bottleneck in AI deployment, positioning it as a critical enabler of AI adoption across enterprise sectors. CoreWeave's public status and $42B valuation reflect recognition of GPU infrastructure as fundamental to AI scaling, distinct from traditional cloud computing markets.

CoreWeave got there first, launching in 2017 — that's 6 years of extra runway. Neysa didn't arrive until 2023. In AI, that kind of head start means more training data, deeper customer relationships, and a bigger talent moat.

Neysa has about 50-200 employees; CoreWeave has about 1800. A bigger team usually means more revenue or heavier VC backing, but in AI, small teams can build at massive scale.

Yes — they're direct rivals. Both Neysa and CoreWeave compete in AI Infrastructure, targeting many of the same buyers. If you're evaluating one, you should be looking at the other.