Thank you for this detailed and thoughtful reply (as compared with downvote without comment that I got initially from whomever).
Based on your excellent description here, it sounds much more like Tableau and various other general BI tools (SAS's Visual Analytics, as well), though as you point out, that isn't Comprehend's objective.
The view synchronization (aka brushing and linking) and real-time sorting, filtering, and querying are all powerful features and indeed help elucidate reason from big, noisy data.
In that light, I think Comprehend's 'learn more' page doesn't do any of that justice. My original comment was my honest impression when looking at the site for the first time. The light-box style screenshots on each feature encouraged me to stare at the static UI. I would humbly suggest that it could be reworked to play up all these technical feats you mention (apropos, Heroku's 'how' page or this ACM queue article: http://queue.acm.org/detail.cfm?id=1805128, wherein the examples are all interactive, such as http://hci.stanford.edu/jheer/files/zoo/ex/stats/parallel.ht...).
Though I suspect your potential user base and the buyers probably do get hands-on demos, so the website's feature page may not be terribly important. But that's my thoughts. I wish Comprehend the best of success. The work you've done already is doubtless moving mountains. And assisting health-work is a stupendous, long-term vision.
We absolutely welcome constructive criticism about both our product and how we portray it. We try to keep our screen shots and website feature listing up to date, but currently the team is working hard in preparation for our booth at DIA Philadelphia! Thanks for the well wishes.
Based on your excellent description here, it sounds much more like Tableau and various other general BI tools (SAS's Visual Analytics, as well), though as you point out, that isn't Comprehend's objective.
The view synchronization (aka brushing and linking) and real-time sorting, filtering, and querying are all powerful features and indeed help elucidate reason from big, noisy data.
In that light, I think Comprehend's 'learn more' page doesn't do any of that justice. My original comment was my honest impression when looking at the site for the first time. The light-box style screenshots on each feature encouraged me to stare at the static UI. I would humbly suggest that it could be reworked to play up all these technical feats you mention (apropos, Heroku's 'how' page or this ACM queue article: http://queue.acm.org/detail.cfm?id=1805128, wherein the examples are all interactive, such as http://hci.stanford.edu/jheer/files/zoo/ex/stats/parallel.ht...).
Though I suspect your potential user base and the buyers probably do get hands-on demos, so the website's feature page may not be terribly important. But that's my thoughts. I wish Comprehend the best of success. The work you've done already is doubtless moving mountains. And assisting health-work is a stupendous, long-term vision.