
Vectice is a Regulatory MLOps platform designed for AI/ML developers and validators to automate and continuously document AI/ML model lifecycles, ensuring audit readiness, transparency, and compliance with evolving regulations. The platform integrates with popular AI/ML tools like Python, R, Snowflake, Databricks, and MLflow, providing automated lineage tracking, validation library integration, and customizable workflows. Vectice accelerates AI adoption by reducing documentation time by 90%, increasing team productivity by 25%, and speeding time-to-production by 25%, delivering ROI within 45 days. It serves global financial services and enterprise teams, focusing on risk control, governance, and collaboration, and is recognized as a leader in AI governance and regulatory compliance.

Vectice is a Regulatory MLOps platform designed for AI/ML developers and validators to automate and continuously document AI/ML model lifecycles, ensuring audit readiness, transparency, and compliance with evolving regulations. The platform integrates with popular AI/ML tools like Python, R, Snowflake, Databricks, and MLflow, providing automated lineage tracking, validation library integration, and customizable workflows. Vectice accelerates AI adoption by reducing documentation time by 90%, increasing team productivity by 25%, and speeding time-to-production by 25%, delivering ROI within 45 days. It serves global financial services and enterprise teams, focusing on risk control, governance, and collaboration, and is recognized as a leader in AI governance and regulatory compliance.
Product: Regulatory MLOps platform that continuously generates AI/ML development and validation documentation to support audit readiness and compliance
Founded: 2020
Funding: Total USD 15.6M; Series A (USD 12.6M) announced 2022-01-18
Integrations: Python, R, Snowflake, Databricks, MLflow
Target customers: Global financial services and enterprise teams focused on risk, governance, and compliance
Audit readiness, transparency, governance, and regulatory compliance for AI/ML model development and validation
2020
Regulatory MLOps
USD 12,600,000
Series A brought total funding to USD 15.6M
“Series A co-led by Sorenson Ventures and Crosslink Capital; other investors include Spider Capital, Global Founders Capital, and Silicon Valley Bank”