While the world obsesses over the latest model from OpenAI or Google, a quiet giant is building the infrastructure that actually trains these models. Turing isn't selling AI dreams—it's selling the dirt, data, and environments that make superintelligence possible.

"Turing isn't in the business of building AI models. They're in the business of building the armies that train them."

The company's positioning around 'Training Superintelligence' is deliberate and provocative. They're not just offering data labeling services; they're building large-scale RL environments and multimodal agents. This is infrastructure-level work that sits between raw compute (like AWS) and final models (like GPT-4). It's a moat that's hard to replicate because it combines deep technical expertise with massive operational scale.

• Revenue at $906M suggests they've cracked the enterprise sales cycle for AI infrastructure
• 155M in funding is relatively modest for their scale—implying strong unit economics or early profitability
• High direct traffic (53%) indicates sticky, mission-critical usage rather than casual browsing
• The shift from 'Turing' the concept to 'Turing' the company is a masterclass in brand positioning