"The gap between "users want this" and "we can build this" is where most products die."
The Translation Problem
User feedback is rich with emotion and context but poor in technical specificity. Engineers hear "make it faster" but need to know which system, which bottleneck, which tradeoff. GlintSphere bridges this gap by extracting structured requirements from unstructured feedback.
From Pain to Specification
GlintSphere's analysis pipeline takes raw testimonials through pain extraction, categorization, and technical mapping. The result is a set of clear problem statements with feasibility indicators that engineering teams can actually work with.
AI Feasibility Scoring
Not every problem can be solved with current technology. GlintSphere's AI Leverage Assessment evaluates each opportunity against current AI capabilities, giving teams a realistic view of what's buildable today versus what requires breakthroughs.
Bridge the gap between user needs and technical reality.