Merantix vs Scribble Data

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

Merantix has raised $30M in disclosed funding across 0 known rounds. Scribble Data's funding history is not publicly available.

Merantix holds the higher Awaira Score at 50/100, 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 15-point gap that reflects meaningful differences in scale or traction.

Merantix was founded by Adrian Locher in 2016. Scribble Data was founded by Arun Iyengar in 2019. Visit each company's profile on Awaira for a full founder biography.

Merantix: Merantix operates as an AI venture studio and holding company, building and investing in applied AI businesses across healthcare, mobility, and enterprise verticals from its Berlin base. The company model combines internal company building through its Merantix AI Campus with minority stakes in portfolio AI companies, acting as both an operator and an investor in the Berlin AI ecosystem.\n\nThe company raised approximately $30 million in venture funding and has built multiple AI ventures including Vara, an AI mammography screening tool, and Merantix Momentum, an enterprise machine learning platform for industrial and logistics applications. Merantix operates the AI Campus Berlin, a physical hub for AI researchers and companies that has become one of Germany most active technology community spaces, hosting events and providing shared infrastructure for AI development teams.\n\nMerantix occupies a distinctive position in the German AI ecosystem as one of the few organisations combining venture studio operations with a physical AI campus model. The company competes with AI labs and applied AI consultancies for talent and clients while differentiating through equity-aligned co-building arrangements that align its interests with portfolio company success. Germany position as Europe largest economy and its strength in industrial and automotive sectors create a substantial home market for AI applications in manufacturing, logistics, and healthcare, sectors that Merantix portfolio companies target directly. 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.

Merantix was founded first in 2016, giving it 3 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.

Merantix 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, Merantix 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.