EchoML raises $80M Series B and unveils FineTune Pro for enterprise LLM customization

AI · 4 min read

EchoML announced an $80 million Series B led by Integrity Capital and released FineTune Pro, a managed platform that enables enterprises to fine-tune large language models with strict privacy guarantees and reproducibility controls. FineTune Pro provides audit-grade governance, dataset lineage, and rollback capabilities—features aimed at finance, healthcare, and legal customers who need stricter controls than general-purpose LLM offerings provide.

The platform supports differential privacy, secure enclave model training, and native connectors to on-prem data stores so sensitive corpora never leave customer infrastructure during tuning. EchoML also launched prebuilt compliance templates and monitoring dashboards for hallucination rates, response conformity, and drift detection.

EchoML plans to use the Series B funds to expand global enterprise sales, invest in security certifications, and broaden language and vertical model libraries. Early adopters include a healthcare payer and a multinational law firm testing domain-specific tuning workflows under strict audit conditions.