iMerit vs Databricks

Databricks has a disclosed valuation of $134B, while iMerit's valuation is not publicly available, making a direct size comparison difficult. Databricks employs 6,000 people.

Databricks has raised more in total funding at $20.2B, compared to iMerit's $24.3M — a gap of $20.2B. Combined, the two companies have completed 8 known funding rounds.

Databricks leads with an Awaira Score of 93/100, while iMerit sits at 55/100. That 38-point gap reflects real differences in funding, scale, and traction — it's not a vanity metric.

iMerit was founded by Radha Basu in 2012. Databricks was founded by Ali Ghodsi in 2013. Visit each company's profile on Awaira for a full founder biography.

iMerit: iMerit is an India-based data AI company founded in 2012 that specializes in providing high-quality training data for artificial intelligence and machine learning applications. The company operates in the data labeling and annotation space, a critical component of AI development pipelines. iMerit's core services include image annotation, video labeling, natural language processing data preparation, and autonomous vehicle training data collection. The company employs a distributed workforce model across India to deliver scalable data annotation solutions to enterprise clients developing AI systems. iMerit has positioned itself within the competitive data labeling market alongside competitors like Scale AI, Labelbox, and Superb AI. The company has secured $24M in total funding and operates at Series B stage, though its current valuation remains undisclosed. Its growth trajectory reflects increasing enterprise demand for quality-assured training datasets as AI adoption accelerates across industries. iMerit serves customers across computer vision, autonomous driving, natural language processing, and other AI domains requiring large-scale labeled datasets. The company's distributed India-based workforce provides cost-effective data annotation while maintaining quality standards through proprietary processes and quality control mechanisms. This operational model has enabled iMerit to scale efficiently while competing globally in the data preparation infrastructure space. iMerit employs India's distributed talent pool with proprietary quality assurance processes to deliver cost-effective training data at scale for enterprise AI applications. Databricks: Databricks is an AI and data platform founded in 2013 that provides a unified analytics workspace for data engineering, data science, and machine learning. The company developed Databricks Lakehouse, which combines data lake and data warehouse capabilities, built on Apache Spark technology. Its platform enables organizations to process large-scale data, build machine learning models, and deploy AI applications through a single interface. The company offers several core products: Databricks SQL for analytics, Databricks Machine Learning for model development, and Databricks Jobs for workflow automation. The platform supports multi-cloud deployment across AWS, Azure, and Google Cloud. Databricks serves enterprises across various industries, with customers including organizations in financial services, technology, and healthcare sectors. As of its latest funding round, Databricks has raised $11.2 billion in total funding and maintains a valuation of $134 billion, positioning it among the highest-valued private AI and data companies. The company achieved Series J funding status, indicating significant capital accumulation and investor confidence. Databricks competes with platforms like Snowflake, Teradata, and cloud-native data solutions from major hyperscalers. The company's growth trajectory reflects strong market demand for integrated data and AI infrastructure, driven by increasing enterprise adoption of machine learning and data-driven decision-making. Databricks unified the traditionally separate data warehouse and data lake approaches through its Lakehouse architecture, creating a single platform for analytics and AI workflows.

iMerit got there first, launching in 2012 — that's 1 year of extra runway. Databricks didn't arrive until 2013. In AI, that kind of head start means more training data, deeper customer relationships, and a bigger talent moat.

iMerit has about 5000 employees; Databricks has about 6,000. 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 iMerit and Databricks compete in AI Data, targeting many of the same buyers. If you're evaluating one, you should be looking at the other.