TensorZero

Inferact, founded in 2025 in the San Francisco Bay Area, builds inference infrastructure on top of open-source vLLM to help enterprises run large language models more efficiently and cost-effectively.

Veris AI, founded in 2025 in New York, USA, builds AI models to help enterprises detect and mitigate risks from LLM-generated content.

Gentrace was founded in 2022 in San Francisco and helps teams test and monitor AI applications, with a particular focus on those built on large language models.

LangWatch, founded in 2023 in Amsterdam, Netherlands, develops the first LLMOps (Large Language Model Operations) platform for monitoring, evaluating, and improving LLM-powered applications.

WisdomAI, founded in 2023 in San Mateo, CA, USA, develops tools that improve AI training data quality to reduce hallucinations in large language models. The company claims ConocoPhillips, Cisco, and Descope as early customers, and serves clients using major cloud data storage services including Snowflake, Google BigQuery, Amazon Redshift, Databricks, and Postgres.

Cleanlab, founded in 2021 in San Francisco, helps prevent LLM hallucinations. By feeding raw, unlabeled datasets into its platform, it can automatically label up to 90% of the data and flag data points and labels most likely to be duplicates or errors, helping users clean data faster and more cost-effectively.