Neysa vs Groq

Groq has a disclosed valuation of $2.8B, while Neysa's valuation is not publicly available, making a direct size comparison difficult. Groq employs 300 people.

Groq has raised more in total funding at $640M, compared to Neysa's $30M — a gap of $610M. Combined, the two companies have completed 4 known funding rounds.

Groq holds the higher Awaira Score at 80/100, compared to Neysa's 55/100. The Awaira Score is a composite metric factoring in valuation, funding, stage, team size, and market presence — a 25-point gap that reflects meaningful differences in scale or traction.

Neysa was founded by Shashank Samala in 2023. Groq was founded by Jonathan Ross in 2016. 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. Groq: Groq is an AI infrastructure company founded in 2016 that designs and manufactures specialized processors for artificial intelligence workloads. The company's core product is the Language Processing Unit (LPU), a custom-built chip architecture optimized for inference tasks in large language models and other AI applications. Unlike traditional GPUs designed for general-purpose computing, Groq's LPUs prioritize deterministic latency and throughput for sequential AI processing, enabling faster token generation in inference scenarios. Groq has positioned itself as an alternative to NVIDIA's GPU-dominated infrastructure market, targeting enterprises requiring high-performance AI inference at scale. The company offers cloud-based access to its hardware through GroqCloud, allowing developers to run inference workloads with reduced latency compared to conventional GPU implementations. With $640 million in total funding and a valuation of $2.8 billion as of its Series D stage, Groq operates in the competitive AI infrastructure sector. The company competes with established players like NVIDIA, as well as emerging alternatives including custom chip manufacturers and cloud providers developing proprietary AI accelerators. Groq's growth trajectory reflects increasing enterprise demand for efficient inference infrastructure, though specific customer names and revenue figures remain undisclosed. Groq's LPU architecture specifically optimizes for inference latency rather than training, addressing a distinct performance bottleneck in deployed AI systems.

Groq was founded first in 2016, giving it 7 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.

Neysa has approximately 50-200 employees, while Groq has approximately 300. A larger team often signals higher revenue or venture backing, but in AI, smaller teams are increasingly capable of building at scale.

Yes, Neysa and Groq 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.