Reasoner unveils AI tool to reveal unspoken insights in meetings
Reasoner has announced the launch of Mind Reasoner, an AI-powered desktop application designed to reveal insights into the underlying motivations and unspoken sentiments present during meetings.
Unlike traditional meeting tools that simply create summaries or track basic engagement, Mind Reasoner utilises a fact-based artificial intelligence architecture. The company states that this provides transparent and verifiable insights into communication that exist beyond spoken words, focusing on what people are thinking but not explicitly stating.
Verifiable insights
Reasoner developed the tool's core component, the Precision Intelligence Engine, in the domain of patent litigation. According to the company, this context required technical precision, as outcomes in legal disputes could depend on the interpretation of a single term. The technology is designed to deliver evidence-based results rather than approximations commonly seen in AI solutions.
The company claims Mind Reasoner can identify over 100 distinct dimensions of participant communication per meeting, surfacing information such as unspoken reservations, subconscious motivations, and feedback on one's own communication style. All insights generated by the software are accompanied by source evidence, including specific words and phrases that formed the AI's conclusions, to provide users with traceability and confidence.
Wayne Chang, Founder and Chief Executive Officer of Reasoner, emphasised the application's focus on establishing trust in AI-derived insights. He said:
"The era of 'trust me' AI is over. We were forced to build a new kind of intelligence because the existing models failed when proof was on the line. With Mind Reasoner, we're taking that same standard of provable truth and applying it to our most complex challenge: understanding ourselves and each other. We're not just building another app; we're delivering intelligence you can finally trust."
Addressing AI scepticism
Reasoner commissioned a study involving more than 600 business leaders to examine trust in artificial intelligence. Results indicated that 75% of respondents identified a lack of confidence in the underlying data and outputs of AI systems as the most significant hurdle to wider adoption. This is despite 94% of surveyed organisations already using or investing in AI in some capacity.
The company sees its Precision Intelligence Engine, originally created for high-stakes legal contexts, as addressing this gap by generating insights that are objectively verifiable and not reliant on assumptions. This, the firm asserts, allows its users to make business decisions based on analytics that can be traced back to explicit evidence from meeting dialogue.
The application has been designed to work as a lightweight desktop tool, maintaining user privacy through compliance with SOC 2, HIPAA, and GDPR standards. All analysis is conducted in a secure environment intended to meet the requirements of both enterprise and regulated sectors.
Key product features
The highlighted features of Mind Reasoner include deep self-awareness of communication blind spots, the ability to infer the underlying meaning behind participants' statements, and multidimensional analysis of meeting dynamics such as power relationships and latent sentiment. The company underlines that each conclusion is accompanied by an "unbreakable evidence chain."
The company states that Mind Reasoner is aimed at professionals seeking to improve decision-making by incorporating hidden interpersonal feedback into their business processes. The tool is now available for interested parties to join a waitlist prior to broader release.
