Human Resources

MiliMatch - Risk Management Intelligence for Human Capital

Manu Rehani

Our Company

MiliMatch™, headquartered in Austin, TX, evolved out of the dream to make the complex more simple. The everyday language we use speaks volumes about what we are thinking and that insight can unlock the potential for the individual and the organizations they are involved in, to create greater value for everyone.

Overview

We have unlocked the power to gain insight and measure a person’s state-of-mind and behaviors from their written text.

Our patented and proprietary technology is based on one simple observation – the implied, subconscious, emotional intent behind words becomes clear in context by what is said before, and what is said after, each word. It allows us to see how someone truly feels about what they have written or said.

All of us do this naturally, all the time. MiliMatch cognitive NLP API’s are a clever mathematical implementation of this one simple fact, applied and validated over a decade, across tens of millions of emails, news stories, surveys, tweets, resumes and interviews.

5 simple open text questions makes it easy to integrate within your existing processes. No time-consuming surveys, no focus groups and no personality tests.

Once deployed, results are available real-time – quickly putting the power into your hands to see where you are successful and what your hot spots are.

Easy, fast and repeatable allows you to easily track the impact of cultural moments (e.g. new leadership, rapid growth, M&A) or evaluate longer term initiatives over time.

Technology

We all write subconsciously, whether we realize it or not. It’s how we are programmed as humans. At the surface, the MilliMatch API takes in text and assigns numbers representing the conscious and unconscious state-of-mind. From there, our rules and algorithms effectively reverse-engineer Ericksonian Hypnotherapy and other forms of neuroscience-linguistic tools. These tools use language patterns to change the mindset and behaviors of a person. Our algorithms analyze the language patterns to evaluate and measure the mindset and behaviors of a person through written text.

In making assumptions about how a person’s mindset and behaviors effect their language patterns, we developed models on embodied cognition.

Like hypnotherapy models, our algorithms rely on models of embodied cognition, which provides a better link between cognition, physiology, sensory experience, and neurology. For more background information on our technology founder, please click here.

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