Steerling

Steerling by Guide Labs is a family of inherently interpretable language models and AI systems designed for high-stakes applications where transparency and controllability are non-negotiable. Built on causal diffusion language models, Steerling allows users to understand which parts of the input prompt drive the output, enabling debugging, auditing, and fine-grained control. With the June 2026 launch of Clarity, Guide Labs provides an accessible platform for concept-based prompt analysis and steering, making interpretability practical for researchers, safety auditors, and developers. The company's approach eliminates the black-box nature of conventional LLMs, offering features like cell editing—which permits targeted knowledge updates without retraining—and a scalable dataloader for flexible training. Backed by 24+ research papers at top ML conferences and experience from MIT, UMD, and MILA, Steerling targets AI safety and alignment researchers, regulatory compliance officers, and ML engineers building auditable systems. Unlike existing tools such as Anthropic's interpretability research or open-source auditing libraries, Steerling provides a unified, production-ready platform combining causal architectures with user-facing steering capabilities.