Classiq vs CoreWeave

CoreWeave has a disclosed valuation of $49B, while Classiq'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 Classiq's $63M — a gap of $2.3B. Combined, the two companies have completed 9 known funding rounds.

CoreWeave leads with an Awaira Score of 95/100, while Classiq sits at 48/100. That 47-point gap reflects real differences in funding, scale, and traction — it's not a vanity metric.

Classiq was founded by Nir Minerbi in 2020. CoreWeave was founded by Michael Intrator in 2017. 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. 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 3 years of extra runway. Classiq didn't arrive until 2020. In AI, that kind of head start means more training data, deeper customer relationships, and a bigger talent moat.

Classiq has about 1-50 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 Classiq and CoreWeave compete in AI Infrastructure, targeting many of the same buyers. If you're evaluating one, you should be looking at the other.