Classiq vs Groq

Groq has a disclosed valuation of $2.8B, while Classiq'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 Classiq's $63M — a gap of $577M. Combined, the two companies have completed 4 known funding rounds.

Groq holds the higher Awaira Score at 80/100, compared to Classiq's 48/100. The Awaira Score is a composite metric factoring in valuation, funding, stage, team size, and market presence — a 32-point gap that reflects meaningful differences in scale or traction.

Classiq was founded by Nir Minerbi in 2020. Groq was founded by Jonathan Ross in 2016. Visit each company's profile on Awaira for a full founder biography.

Classiq: Classiq develops quantum computing software that automates the synthesis of quantum circuits from high-level algorithmic descriptions, allowing quantum algorithm developers to specify what computation should be performed without manually designing the low-level quantum gate sequences required to implement it. The Tel Aviv company platform generates optimised quantum circuits for specific hardware backends including IBM, Google, and IonQ quantum processors.\n\nThe company raised approximately $63 million in venture funding including a Series C from investors including HPE, NTT, and HSBC. Classiq targets financial services, pharmaceuticals, and logistics companies investigating quantum computing applications for optimisation, simulation, and machine learning, providing software tools that accelerate quantum algorithm development without requiring deep quantum physics expertise from application developers. The company has partnerships with IBM Quantum and NVIDIA cuQuantum for hybrid classical-quantum workflows.\n\nClassiq competes in the quantum software market alongside Qiskit (IBM), Cirq (Google), and commercial quantum software platforms including 1QBit and QC Ware. The company occupies the abstraction layer between algorithm description and hardware implementation, a segment that becomes increasingly valuable as quantum hardware matures and the bottleneck shifts from physical qubit availability to algorithm development productivity. The long timelines to commercial quantum advantage create both extended runway requirements and extended opportunity windows for quantum software infrastructure companies positioned ahead of hardware maturity. 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 4 years of additional market experience. Classiq was founded later in 2020. In AI, even a year or two of head start can translate into significantly more training data, customer relationships, and institutional knowledge.

Classiq has approximately 1-50 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, Classiq 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.