Paradox Machines

What it is

Paradox Machines, founded by Ilan Man, diagnoses and rebuilds a company's data and analytics stack in three stages: strategy and alignment to model data end-to-end against business logic, deployment of a platform ("Zeno") that ingests and models data inside the customer's own cloud environment, and an ongoing managed-service phase where embedded fractional experts train the internal team. The explicit position is that broken data systems are usually a people and process problem before they're a technology gap, and that clients should own their infrastructure outright rather than being locked into a vendor's proprietary platform. Named case studies include FabFitFun, where fractional leadership stabilized a stack that had lost its head of data in "days, not months," and Infinity Constellation (an AI-services holding company with eight portfolio companies), where self-serve access via a Claude-based interface replaced analyst-dependent reporting, cutting answer time from days to minutes.

Who it's for

Mid-market and high-growth companies with fragmented data tooling and no dedicated data leadership.

Why it's better

• •"You own it" model: infrastructure deployed inside the client's own cloud, explicitly positioned against vendor lock-in.
• •Frames data problems as organizational and people problems first, engineering problems second — embeds with teams rather than just shipping software.
• •Delivery includes fractional, embedded human experts who train internal staff, not just a self-serve tool.
• •Built inside Infinity, an AI-services holding company, giving it direct operating exposure across eight portfolio companies as a proving ground.