Scribble Data vs G42

G42 has a disclosed valuation of $10B, while Scribble Data's valuation is not publicly available, making a direct size comparison difficult. G42 employs 1000+ people.

Scribble Data has raised $3.5M in disclosed funding across 1 known round. G42's funding history is not publicly available.

G42 leads with an Awaira Score of 80/100, while Scribble Data sits at 35/100. That 45-point gap reflects real differences in funding, scale, and traction — it's not a vanity metric.

Scribble Data was founded by Arun Iyengar in 2019. G42 was founded by Peng Xiao in 2018. Visit each company's profile on Awaira for a full founder biography.

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. G42: G42 is an Abu Dhabi-based AI and cloud computing group backed by the Abu Dhabi royal family and Mubadala Investment Company, operating a portfolio of AI subsidiaries spanning cloud infrastructure, healthcare AI, smart city technology, genomics, and foundation model development. The group provides AI cloud services and applied AI solutions to government agencies and enterprises across the UAE and international markets, and has made significant investments in AI chip supply and data center infrastructure.\n\nGovernment-backed with a reported valuation exceeding $10 billion, G42 received a $1.5 billion strategic investment from Microsoft in 2024, giving Microsoft a significant stake and providing G42 with Azure cloud technology and global commercial partnerships. The group subsidiaries include CPH (cloud and AI infrastructure), Presight AI (big data analytics), and Bayanat (geospatial data), creating a vertically integrated UAE national AI platform spanning compute, data, and applications.\n\nG42 competes in the Middle East AI market while facing scrutiny from US government officials regarding its historical relationships with Huawei and Chinese technology companies, which led to restrictions on its access to advanced US AI chips. The Microsoft investment included commitments from G42 regarding technology governance and data security that addressed some of these concerns. The group position as a state-backed AI champion reflects UAE national AI strategy ambitions to establish Abu Dhabi as a global AI hub, with G42 serving as the primary vehicle for government-directed AI investment and deployment.

G42 got there first, launching in 2018 — that's 1 year of extra runway. Scribble Data didn't arrive until 2019. In AI, that kind of head start means more training data, deeper customer relationships, and a bigger talent moat.

Scribble Data has about 10-50 employees; G42 has about 1000+. 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 Scribble Data and G42 compete in ML Platform, targeting many of the same buyers. If you're evaluating one, you should be looking at the other.