Over 70 practitioners agree: AI isn’t failing because of weak models, but because decisions are opaque. Here’s why glass-box, neuro-symbolic AI is key to enterprise adoption.

The real bottleneck isn’t AI – it’s us (humans) Over the past year, two narratives about enterprise AI have been running in parallel. On one side, MIT-affiliated Project NANDA researchers warn of a widening “GenAI divide,” reporting that “just 5% of integrated AI pilots are extracting millions in value, while the vast majority remain stuck with no measurable P&L impact” (Challapally et al., 2025).

Seeking Testing/Piloting Partners, under the Canadian Federal Government ISC Program, to pilot our Glass-Box AI.

At Latent-Sense Technologies Inc., we have been and we are working on benchmarking the language-grounded reasoning of the LLMs (e.g. ChatGPT, DeepSeek, Sonnet, Llama, Gemini, etc). More specifically, we have been looking at the LLMs’ reasoning breaking-points. And we found many. We plan to publish our findings over the upcoming weeks and months.