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See How Our Proprietary Technology Can Help You

Precision Text Matching

Existing readability formulas and leveling frameworks do not take into account sub-lexical features of words, or the letter-sound variability of words, and therefore are not suited to beginning or emerging readers. Our decoding measure is designed specifically for emerging and struggling readers. We account for several sub-lexical variables known to influence word-reading  such as the difficulty of specific grapheme-phoneme correspondences, the number of blends in a word, and the discrepancy between the number of letter in a word and the number of sounds (phonemes).

The Decoding Measure is the result of several years of research and development at Vanderbilt University. The Decoding Measure has been used in 3 peer-reviewed scientific papers and presented at 3 of the leading conferences on reading and learning differences. Several more papers demonstrating the efficacy of the Decoding Measure have either been submitted or are in development. Please contact us to learn more.

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Text Creation & Alignment

Gain an edge in the textbook adoption market with research-based analytics demonstrating that your curricula complies with the Common Core standards and new Dyslexia legislation. Forty-six states have recently passed Dyslexia Laws that have implications for the design of curricula. With our technology you can quickly and reliably measure the decoding level of your books to see if they align with the CCSS grapheme-phoneme correspondences or your scope and sequence. Make sure your books increase in difficulty in appropriate increments using our text scoring app, and match children to books that have just the right mixture of known and new letter-sounds.

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Reading Error Analysis

Using errors from progress monitoring probes, phonics screeners, or even apps that use speech recognition to inform instruction is time-consuming, unreliable, and difficult to synthesize. We are creating the first research-based error encyclopedia to quickly and accurately inform instructional approach. Our measure goes beyond simple error categorization, instead, it quantifies the distance between the target word and the error and categorizes errors by reader type as well as reader growth. This technology is still be developed. Contact us if you are interested in partnering.

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