Secondmind vs Scribble Data

Neither company has publicly disclosed a valuation, making a definitive size comparison difficult. Secondmind employs 1-50 people, while Scribble Data has 10-50 employees.

Secondmind has raised $25M in disclosed funding across 0 known rounds. Scribble Data's funding history is not publicly available.

Secondmind holds the higher Awaira Score at 45/100, 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 10-point gap that reflects meaningful differences in scale or traction.

Secondmind was founded by Eric Bax in 2019. Scribble Data was founded by Arun Iyengar in 2019. Visit each company's profile on Awaira for a full founder biography.

Secondmind: Secondmind develops Bayesian machine learning optimisation technology for engineering applications, with a primary focus on automotive powertrain and vehicle systems calibration. The Cambridge company builds probabilistic machine learning tools that help automotive engineers optimise complex, multi-variable systems such as engine management, transmission control, and electrification systems with fewer physical experiments and less calibration time than traditional approaches.\n\nThe company raised approximately $25 million in a Series A round and acquired Prowler.io, a multi-agent reinforcement learning startup from Cambridge, in 2021 to expand its AI research capabilities. Secondmind customers include major automotive OEMs using the platform to reduce the number of dyno tests required for powertrain calibration, translating directly into reduced development costs and faster time-to-production for new vehicle programmes.\n\nSeconmind operates in the engineering AI optimisation market, competing with specialist automotive AI vendors and general-purpose Bayesian optimisation tools. The automotive calibration market is driven by increasing powertrain complexity as the industry transitions to hybrid and electric architectures, which require calibrating interactions between internal combustion engines, electric motors, and battery management systems that generate dramatically more control parameters than traditional powertrains. Cambridge University research partnerships provide the company a continuing source of methodological development in Bayesian and probabilistic machine learning. 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.

Both Secondmind and Scribble Data were founded in the same year — 2019. Despite sharing a founding year, they may have launched at different times within that year, which can matter in fast-moving AI markets.

Secondmind has approximately 1-50 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, Secondmind 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.