Zilliz vs Neysa

Neither company has publicly disclosed a valuation, making a definitive size comparison difficult. Zilliz employs 100-500 people, while Neysa has 50-200 employees.

Zilliz has raised more in total funding at $113M, compared to Neysa's $30M — a gap of $83M.

Zilliz holds the higher Awaira Score at 65/100, compared to Neysa's 55/100. The Awaira Score is a composite metric factoring in valuation, funding, stage, team size, and market presence — a 10-point gap that reflects meaningful differences in scale or traction.

Zilliz was founded by Charles Xie in 2017. Neysa was founded by Shashank Samala in 2023. Visit each company's profile on Awaira for a full founder biography.

Zilliz: Zilliz is the commercial company behind Milvus, the most widely deployed open-source vector database, and operates Zilliz Cloud, a fully managed vector database service built on that foundation. Milvus supports billion-scale vector collections with high throughput and low-latency query performance, and is widely used in AI search, recommendation, and retrieval-augmented generation applications.\n\nThe company raised approximately 113 million USD and has established Milvus as a standard component of the AI infrastructure stack at large technology companies and enterprises globally, with substantial adoption in China, the United States, and Southeast Asia. The open-source project has accumulated tens of thousands of GitHub stars and an active contributor community across academic and commercial organizations.\n\nZilliz occupies a strategically important position in the vector database market as the steward of the most mature open-source option in the category. Enterprise customers who start with Milvus often migrate to Zilliz Cloud for managed operations, giving the company a land-and-expand motion built on open-source adoption. This model positions Zilliz to capture a large share of the growing enterprise vector infrastructure market as AI workloads move from experimentation to mission-critical production. 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.

Zilliz was founded first in 2017, giving it 6 years of additional market experience. Neysa was founded later in 2023. In AI, even a year or two of head start can translate into significantly more training data, customer relationships, and institutional knowledge.

Zilliz has approximately 100-500 employees, while Neysa has approximately 50-200. A larger team often signals higher revenue or venture backing, but in AI, smaller teams are increasingly capable of building at scale.

Yes, Zilliz and Neysa are direct competitors — both operate in the AI Infrastructure space and likely target overlapping customer segments. This comparison is especially relevant for buyers evaluating both platforms.