Karya AI vs Databricks

Databricks has a disclosed valuation of $134B, while Karya AI'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 Karya AI's $3M — a gap of $20.2B. Combined, the two companies have completed 6 known funding rounds.

Databricks leads with an Awaira Score of 93/100, while Karya AI sits at 40/100. That 53-point gap reflects real differences in funding, scale, and traction — it's not a vanity metric.

Karya AI was founded by Vivek Seshadri in 2021. Databricks was founded by Ali Ghodsi in 2013. Visit each company's profile on Awaira for a full founder biography.

Karya AI: Karya is an ethical AI data collection platform that sources high-quality annotated speech, text, and image datasets from rural Indian workers through a mobile app-based microtask marketplace, paying contributors above-market wages while generating training data for Indic language AI models. The organization operates on a non-profit model with the explicit goal of redistributing AI economic value to the communities whose data enables AI development.\n\nThe company received approximately $3M in grant funding from philanthropic organizations and development-focused investors, and has enlisted workers across rural India to collect speech data, transcriptions, and annotations in dozens of Indian languages and dialects. Karya's data collection model has produced datasets in low-resource Indian languages that are otherwise commercially unavailable.\n\nKarya addresses two significant problems simultaneously — the shortage of high-quality Indic language training data and the concentration of AI economic benefits in wealthy geographies. Its model of paying fair wages to data contributors while producing strategically valuable datasets has attracted attention as a sustainable and ethical approach to building the data infrastructure that India-specific AI development requires. 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.

Databricks got there first, launching in 2013 — that's 8 years of extra runway. Karya AI didn't arrive until 2021. In AI, that kind of head start means more training data, deeper customer relationships, and a bigger talent moat.

Karya AI has about 10-50 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 Karya AI and Databricks compete in AI Data, targeting many of the same buyers. If you're evaluating one, you should be looking at the other.