Invisible Technologies is an AI infrastructure company that builds the workflows and deploys the agents that actually make enterprise AI function - structuring messy data, automating digital processes, and shipping AI that does real work. The company's platform handles the unglamorous but critical plumbing: turning unstructured inputs into structured outputs, then routing them through automated pipelines and AI agents designed to operate at scale. With $134M in revenue in 2024 and a #2 ranking on the Inc. 5000 list of fastest-growing AI companies, Invisible has become a quiet force in the space.
The company claims to have trained more than 80% of the world's leading AI models, positioning it as a foundational layer in the modern AI stack. Technical work spans AI model training, data structuring, workflow automation, and agent deployment - domains that demand serious engineering rigor around data integrity, system reliability, and the security implications of autonomous agents operating on enterprise data. The team runs hybrid across NYC, San Francisco, Washington DC, and London.
For cybersecurity professionals, the relevant question is threat surface: Invisible's agents interact with enterprise data at volume, and its workflows touch sensitive processes across industries. The company's stated culture leans aggressive - "push hard and move fast" - which, combined with the scale of its operations, means security architecture and data governance are non-negotiable domains. If you're working at the intersection of AI deployment and enterprise security, this is a company operating where the attack surface meets the automation layer.
