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BluelightAI helps enterprises illuminate and improve their AI. We turn state of the art models into dependable, domain-specific experts by giving teams the power to see inside, diagnose, and refine models at every stage of the lifecycle. The problem we address is simple but stubborn: aggregate accuracy scores conceal hallucinations, blind spots, and regulatory risk. Because user interactions shift constantly, an LLM that works in the lab can fail in production. Most organizations therefore hesitate to deploy AI broadly. Our platform, Cobalt, changes that. By fusing topological data analysis with mechanistic interpretability techniques such as sparse autoencoders and cross-layer transcoders, Cobalt opens the black box. It visualizes feature activations like an MRI for neural nets, clusters related behaviors into an auditable map, highlights weaknesses automatically, and compares any mix of models and datasets, including your proprietary data. Cobalt also uncovers latent patterns in unlabeled production logs and suggests targeted prompt tweaks or synthetic training sets, enabling rapid, evidence-based improvements. In upcoming releases, automated pattern discovery and one-click retraining will push insight and remediation even further. Customers report up to 60% fewer defects, 3X faster adaptation cycles, and the confidence to ship AI products that meet strict reliability and compliance targets. Cobalt is free to install with pip install cobalt-ai, explore instantly, and upgrade when you are ready for enterprise-grade scale. To see Cobalt in action, request a fifteen-minute demo at bluelightai.com/cobalt or email hello@bluelightai.com. BluelightAI is driven by mathematicians, engineers, and product thinkers who believe safe, interpretable AI should be accessible to every organization. Follow us for product updates, technical deep dives, and career opportunities.

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Greg Biggers is the Chief Product Officer (Interim) of bluelightai.

4 people are employed at bluelightai.

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