AI output should be treated as fallible by default, especially in real systems. We build tools that don't trade speed for correctness.
Product
Tools designed for developers who need to ship fast without breaking things.
Validation-First AI Coding Assistant
A practical AI assistant designed to preserve development speed while actively protecting correctness. Dadlas treats every output as potentially wrong until proven otherwise—because in production systems, "probably right" isn't good enough.
Solo Dev edition coming soon — agentic workflows with full repository awareness.
Visit Dadlas →Research
Exploring how to make AI systems more reliable, trainable, and honest about what they don't know.
A three-stage training curriculum using sparse routing to improve parameter-efficient fine-tuning. Achieves 3.1× improvement over standard LoRA on GSM8K mathematical reasoning with Qwen2-0.5B.
View Publication →A conceptual framework for controlled post-deployment learning. Addresses hallucination through uncertainty-aware knowledge acquisition, treating uncertainty as a proxy for prior strength.
View Publication →About
Purple Hedgehog AI LLC was founded by Dean Brown, a Senior Staff Consultant with over 20 years of enterprise technology experience specializing in ServiceNow implementations, CMDB governance, and IT asset management.
After watching organizations struggle to adopt AI responsibly—moving fast but breaking things, or moving safely but never shipping—Dean started building tools that refuse to compromise.
The result is a validation-first approach: AI that treats its own output as fallible by default. We build practical tooling for developers and enterprises who need speed without sacrificing correctness.