Improbable vs Iguazio

Neither company has publicly disclosed a valuation, making a definitive size comparison difficult. Improbable employs 500-1000 people, while Iguazio has 100-500 employees.

Improbable has raised more in total funding at $700M, compared to Iguazio's $72M — a gap of $628M. Combined, the two companies have completed 7 known funding rounds.

Improbable leads with an Awaira Score of 68/100, while Iguazio sits at 53/100. That 15-point gap reflects real differences in funding, scale, and traction — it's not a vanity metric.

Improbable was founded by Herman Narula in 2012. Iguazio was founded by Yaron Haviv in 2014. Visit each company's profile on Awaira for a full founder biography.

Improbable: Improbable develops large-scale simulation technology and virtual world infrastructure, originally focused on cloud-distributed game server simulation and subsequently pivoting to AI-powered synthetic environment generation and metaverse platform development. The London company built SpatialOS, a cloud platform for running distributed simulations of large, persistent virtual worlds, and has applied simulation capabilities to defence, urban planning, and entertainment applications.\n\nThe company raised approximately $700 million including a landmark $502 million SoftBank round in 2017 that was one of the largest venture rounds in European technology history. Improbable has undergone multiple strategic pivots, moving from gaming infrastructure to defence simulation contracts with clients including the UK Ministry of Defence, which uses simulation environments for training and wargaming. The company also built MSquared, a metaverse interoperability network, before refocusing on defence and AI simulation work.\n\nImprobable operates in an AI simulation market where demand from defence agencies, autonomous vehicle companies, and robotics firms has grown substantially. The company competes with simulation platforms from Epic Games (Unreal Engine), NVIDIA (Omniverse), and specialist defence simulation vendors. Its SoftBank backing and large cash reserves have enabled it to survive multiple market pivot cycles that would have ended less well-funded companies, and its current focus on AI-powered synthetic data generation for defence represents a growing government budget category. Iguazio: Iguazio built an MLOps and real-time AI platform that provided a unified data and model serving infrastructure for machine learning applications requiring low-latency prediction serving and real-time feature computation, enabling data science teams to deploy models into production with integrated feature stores, model serving, and monitoring pipelines. The Tel Aviv company open-source Nuclio serverless framework became widely adopted for event-driven AI inference workloads.\n\nThe company raised approximately $72 million in venture funding before being acquired by McKinsey in 2023, with the acquisition integrating Iguazio MLOps platform into McKinsey QuantumBlack AI consulting and technology practice. Prior to the acquisition, Iguazio had clients including Deutsche Telekom, Moody Analytics, and financial services firms using its platform for real-time fraud detection, recommendation systems, and predictive maintenance applications.\n\nIguazio competed in the MLOps platform market against Databricks, MLflow, Kubeflow, and Weights and Biases, as well as managed MLOps offerings from AWS SageMaker, Google Vertex AI, and Azure ML. The acquisition by McKinsey represented a strategic move to acquire proprietary AI infrastructure that differentiates McKinsey technology consulting from pure advisory competitors. The Iguazio platform provides McKinsey QuantumBlack with an accelerated deployment capability for AI use cases it implements for clients, reducing time-to-production for ML models in regulated enterprise environments.

Improbable got there first, launching in 2012 — that's 2 years of extra runway. Iguazio didn't arrive until 2014. In AI, that kind of head start means more training data, deeper customer relationships, and a bigger talent moat.

Improbable has about 500-1000 employees; Iguazio has about 100-500. 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 Improbable and Iguazio compete in ML Platform, targeting many of the same buyers. If you're evaluating one, you should be looking at the other.