We built this because agents needed identities

The problem we kept encountering

Before founding Scalekix, Satya spent years building credential management infrastructure for high-throughput data pipelines at two technology companies. When teams began deploying autonomous AI workers in 2024, the immediate question was always the same: which credentials should the agent receive?

The usual answer was a service account or shared developer API key. That approach made sense for batch jobs with human review. For an autonomous agent making dozens of API calls per minute, it created a blast radius nobody wanted to examine too closely.

The identity layer we needed was missing. Each team was assembling some mix of Vault, IAM roles, custom middleware, and spreadsheets to track what every agent could do. Marcus had encountered the same issue on the authorization side, creating permission middleware for distributed microservices teams that had begun adding AI agents to their pipelines.

We started Scalekix in 2025 to build the missing piece: a purpose-built layer that gives every agent its own verifiable credential, limits each action to declared permissions, and records an immutable audit trail for everything the agent does. We wanted adoption to feel as quick as adding a dependency and visibility to be as clear as reading a log.