Threats, Risks and Weaknesses: 
-Entrenched players and the "Data Problem."  This first one gets mildly technical, so we'll get it out of the way first.  Speech recognition performance is critically dependent on huge, enormous, truly vast quantities of "training" data (these are the actual audio recordings of people previously saying the things you want to recognize in the future). The leaps in performance in speech rec over the last several years can be more attributed to data collection than to algorithm improvements.  So, even though Red Shift can claim superior algorithms in some areas, existing players that have been collecting audio for years can retain an advantage.
-The Market.  For our web-based recognizer product, there just simply may not be a demand. This is tricky though since this product is the 1st of its kind.
-The state of the art. Our web-based recognizer is a novel and first-of-a-kind product.  However, examples of similar systems are starting to appear. The capabilities that this product provides are even being standardized by an international body (though still very much in draft).  And Google has begun to implement some of the capabilities in its Chrome browser (which is free of couse).

Strengths and Opportunities:
-Even though I just mentioned other products starting to move into our space, none is as mature as our offering. 
-We can quickly offer custom and targeted speech recognition solutions, which is very difficult and/or cost-prohibitive to get from many of the established speech-recognition providers. 
-Though it has not been productized yet, we have conducted internal tests that suggest our speech recognition is more noise-tolerant in certain situations than competing products.