[citation needed] LetterWise used a prefix based predictive disambiguation method and can be demonstrated to have some advantages over the non-predictive Multi-tap technique that was in widespread use at the time that system was developed.

Eatoni composed a conference paper for March 2001 on Linguistically Optimized Text Entry on a Mobile Phone but it was not accepted.

[2][3] In November 2001 at the 14th annual ACM symposium on User interface software and technology a paper prepared by academic Scott MacKenzie and Hedy Kober[a] supported by three from Eatomi including Skepner described experimental results comparing LetterWise against other schemes though notably WordWise was for whatever reason absent from the presentation despite being announced over a year previously.

[4][5] By May 2002 Gutowitz admitted adoption by established cell phone manufactures was proving difficult although Benq was taking the technology.

Despite not included as a system keyboard, LetterWise was available in Email / Twitter / SMS / LiveJournal clients for Symbian, iOS as well as Qualcomm's BREW platform (distributed by the Verizon Wireless Get It Now service).

[3][b] For the tests done by Scott Mackenzie a selection of words from the British National Corpus were used as a representative sample of the English language.

As a baseline the full English PC keyboard has a kspc of 1 as precisely one key stroke is required per typed character.

[16] Eatoni engineers claim LetterWise has relatively low storage requirements compared to dictionary based solutions.

Clinical evaluations showed LetterWise could offer an almost 50% increase in throughput compared to Multi-tap for English language words.

[26] Eatoni Ergonomics also developed and patented the dictionary word based predictive text input system WordWise announcing it in September 2000 with claims it was even faster than LetterWise.

[28][30] Eatoni's website also indicated it was included as their SMS, Twitter and e-mail downloadable client applications for certain Symbian and Apple IOS based products.