Aiimi builds a workplace AI platform that automates data classification, labeling, and access control for enterprises managing legacy systems and unstructured data at scale. The stack is Python-heavy (FastAPI, Flask, Django) with cloud-native infrastructure across Azure, AWS, and GCP—a shape typical of managed services delivery paired with SaaS product development. Current hiring is split evenly between mid and senior engineering roles, suggesting active product development alongside consulting delivery.
Aiimi is a UK-based technology company founded in 2007 that combines AI-driven software with managed consulting services for enterprise data transformation. The core platform automatically classifies, protects, and relocates enterprise data while maintaining compliance and risk management across legacy systems. The company serves mid-market and enterprise organizations dealing with fragmented data estates, tangled access permissions, and unstructured information silos. Aiimi operates in a services-and-product hybrid model: consulting teams embed within customer organizations for data and AI transformation projects, while the platform provides continuous governance and monitoring. Operations are headquartered in Milton Keynes and staffed at 51–200 employees.
Python (FastAPI, Flask, Django), React, PostgreSQL, MySQL, SQL Server, Elasticsearch, Docker, and cloud platforms Azure, AWS, and GCP. Also uses Azure DevOps for CI/CD and monitoring tools like Datadog and CloudWatch.
A platform that automatically classifies, labels, and relocates enterprise data while managing access control and compliance. It continuously maps and monitors data estates for risk mitigation and prepares data for safe AI adoption in legacy environments.
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