AgNext Technologies vs Databricks

Databricks has a disclosed valuation of $134B, while AgNext Technologies'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 AgNext Technologies's $10M — 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 AgNext Technologies sits at 55/100. That 38-point gap reflects real differences in funding, scale, and traction — it's not a vanity metric.

AgNext Technologies was founded by Taranjeet Singh Bhamra in 2016. Databricks was founded by Ali Ghodsi in 2013. Visit each company's profile on Awaira for a full founder biography.

AgNext Technologies: AgNext Technologies develops AI-powered quality assessment solutions for the agriculture and food supply chain industry, using near-infrared spectroscopy, computer vision, and machine learning to deliver rapid, non-destructive grading of grains, oilseeds, spices, and other agricultural commodities at procurement centers, ports, and processing facilities. The platform enables buyers and processors to standardize quality assessment and reduce adulteration across complex supply chains.\n\nThe company raised approximately $10M in Series B funding and has deployed its AgriSpec and QualEx products at government procurement agencies, commodity exchanges, large agri-processors, and export-oriented food companies across India and internationally. AgNext's devices replace subjective manual inspection with objective, data-driven quality measurements.\n\nFood quality and adulteration are persistent problems in India's agricultural supply chain, with significant economic and public health consequences. AgNext's technology addresses a regulatory and commercial imperative, and its deployments at government procurement operations provide both revenue stability and strong validation of the technology's accuracy in field conditions. 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 3 years of extra runway. AgNext Technologies didn't arrive until 2016. In AI, that kind of head start means more training data, deeper customer relationships, and a bigger talent moat.

AgNext Technologies has about 50-200 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 AgNext Technologies and Databricks compete in AI Data, targeting many of the same buyers. If you're evaluating one, you should be looking at the other.