Iguazio vs Scribble Data

Neither company has publicly disclosed a valuation, making a definitive size comparison difficult. Iguazio employs 100-500 people, while Scribble Data has 10-50 employees.

Iguazio has raised $72M in disclosed funding across 0 known rounds. Scribble Data's funding history is not publicly available.

Iguazio holds the higher Awaira Score at 53/100, compared to Scribble Data's 35/100. The Awaira Score is a composite metric factoring in valuation, funding, stage, team size, and market presence — a 18-point gap that reflects meaningful differences in scale or traction.

Iguazio was founded by Yaron Haviv in 2014. Scribble Data was founded by Arun Iyengar in 2019. Visit each company's profile on Awaira for a full founder biography.

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. Scribble Data: Scribble Data builds a feature store and ML data pipeline platform that enables data science teams to define, compute, store, and serve machine learning features in a unified platform, addressing the significant engineering overhead of building and maintaining feature infrastructure for production ML systems. The platform reduces the time data teams spend on data wrangling and feature engineering by providing reusable feature definitions and automated pipeline orchestration.\n\nThe company is in early Seed stage with limited disclosed funding and targets data science teams at financial services companies, digital consumer businesses, and enterprise analytics organizations that run large-scale ML operations. Scribble Data positions its platform as infrastructure that shortens the path from model ideation to production deployment.\n\nFeature stores have emerged as a recognized production ML infrastructure category, with vendors including Tecton, Feast, and Hopsworks competing for enterprise adoption. Scribble Data's India-based team and pricing model target a segment of the market that cannot justify the cost of US-headquartered enterprise ML platform vendors, while still requiring production-grade feature management capabilities.

Iguazio was founded first in 2014, giving it 5 years of additional market experience. Scribble Data was founded later in 2019. In AI, even a year or two of head start can translate into significantly more training data, customer relationships, and institutional knowledge.

Iguazio has approximately 100-500 employees, while Scribble Data has approximately 10-50. A larger team often signals higher revenue or venture backing, but in AI, smaller teams are increasingly capable of building at scale.

Yes, Iguazio and Scribble Data are direct competitors — both operate in the ML Platform space and likely target overlapping customer segments. This comparison is especially relevant for buyers evaluating both platforms.