Bengaluru-based MLOps startup Scribble Data raises USD 2.2 Mn in seed funding
Bengaluru-based MLOps startup Scribble Data has raised USD 2.2 million in seed funding led by Blume Ventures. The round also saw participation from Log X Ventures and Sprout Venture Partners Vivek N Gour, former CFO, Genpact and Ganesh Rao, partner, Trilegal). Scribble plans to use the fresh capital to build a product roadmap and grow its presence in the North American market. The startup has an office in Toronto. The product roadmap includes a low code consumption interface for teams to access and use features produced on the platform, as well as additional apps that bring data teams closer to specific solutions like anti-money laundering, benchmarking, personalization, and recommendations, among others. ​ Scribble Data will also use the new capital towards strengthening their integration with third-party data solutions, like Redis “With this fundraise, we will be doubling down on hiring the right talent to help deepen the Enrich feature store, as also to ensure world-class product support for our customers,” said Indrayudh Ghoshal, co-founder, Scribble Data. Scribble Data’s modular feature store, Enrich, comprises a number of pre-built feature engineering apps to help data teams cut time-to-market for each data science use case including unified metrics, customer behavioural modeling, and recommendations. Enrich streamlines the data prep process with versioned pipelines, delivering continuously updated data through intuitive interfaces and surfacing context around datasets via extensive metadata and lineage tracking. With offices in Toronto and Bangalore, Scribble Data has clients across 4 continents.
Scribble Data will use the new capital towards strengthening their integration with third-party data solutions, like Redis.
Scribble Data will use the new capital towards strengthening their integration with third-party data solutions, like Redis.
["machine learning models", "ML models"]
["data science", "Go", "API", "AI", "ML", "ML models", "machine learning models", "MLOps", "Ray", "feature store", "R", "Redis"]
["AI", "ML", "data science", "MLOps", "Ray", "Redis", "R", "Go", "API", "feature store"]
A writer by passion, Kartik strives to get a deep understanding of AI, Data analytics and its implementation on all walks of life. As a Senior Technology Journalist, Kartik looks forward to writing about the latest technological trends that transform the way of life!