Nova AI builds end-to-end code-testing tools that automatically generate tests by sifting through customers' code, with a focus on CI/CD environments. The company targets mid-size to large enterprises and reports customers are mostly late-stage (Series C or beyond) startups in e-commerce, fintech and consumer products with heavy user experiences. Nova AI emphasizes not sending customer data to OpenAI and instead relies on open-source models (including Meta's Llama and StarCoder) and its own models; it has tested Google's Gemma but is not using it with customers. The founders are CEO Zach Smith, co-founder Jeffrey Shih, and AI data scientist Henry Li, and the company is an Unusual Academy accelerator grad. Nova AI uses open-source embedding models rather than OpenAI embeddings and uses OpenAI only minimally for some code generation and labeling. Financially, the company has raised a $1 million pre-seed round.

Total raised

$1M

Funding rounds

1

Latest round

Seed

Latest activity

Apr 2024