Ello is your child’s read-along companion who listens, teaches, and transforms them into an enthusiastic reader. For Kindergarten to 3rd Grade.
There are two currently available versions of Ello.
*promotions and coupons vary so you may see a different amount.
Ello with E-books:
Ello with paperbacks:
You can add up to 3 reader profiles.
Right now, Ello offers books on reading levels Kindergarten to 3rd grade. We are adding more books all the time so if your child is beyond this or a pre-reader, check back for more updates! Ello is not suited for pre-readers who are not yet decoding basic words.
Generally, Ello works best for children 4–8 years of age but it depends on their reading ability. If they can read the sentence “I am a cat,” they are ready for our earliest level of books!
Ello with e-books will have 3 books per weekly lesson! We find this gives the perfect amount of time for new readers to work through the books and build a good understanding of concepts before moving on to new books.
Ello with paperbacks gets 5 physical books shipped to your home.
Ello helps early readers break down learning barriers by combining artificial intelligence and speech recognition technology to make Ello come to life. Ello is a revolutionary state-of-the-art interactive reading buddy who listens to your child read out loud. Ello provides support when your child needs help reading, gentle corrections when they make errors, and motivation to keep your child engaged. Appropriately leveled books will be automatically loaded into the app for you!
Your child will simply log into the app and choose a book to start reading. If they need help with a word, they can tap on the word for help from Ello.
As your child reads, Ello brings the story to life, provides words of encouragement, and helps them if they get stuck so they don't get frustrated.
We use behavioral psychology and a growth mindset paradigm to keep your child encouraged, help their confidence soar, and build a love of reading.
Ello offers a reward system as well. In this system, children collect stars and badges, leading up to a completion prize that is either delivered digitally, included in the next box, or both!
Since children can get easily discouraged, Ello leans on the lenient side. We recommend sitting with your child when they read and helping with some of these corrections yourself.
Ello’s instructional method was developed by reading specialists with backgrounds in dyslexia intervention and uses direct, explicit, and sequential phonics instruction. This is exactly what research shows works for helping children with dyslexia learn how to read. Ello is not a comprehensive curriculum or intervention model for dyslexia, it’s a great supplement and we have numerous children with dyslexia using Ello with great success.
Ello uses proven, phonics-based reading strategies to help your child decode words and develop fluency.
We offer books that are level-appropriate, inclusive, and engaging.
Our physical books are mostly favorite classics. We get them from publishers and you might even already own some of them.
Our e-books in the Ello app come from a special team of authors who specialize in reading education. They are created with the science of reading in mind.
Every box of books has to meet three criteria:
We believe that fantastic books create enthusiastic readers and we work with reading specialists to source classic beloved books and new undiscovered gems. The best part is that we take the guesswork out of finding books that are "just right" for your child – ones that are not too easy and not too hard.
We make it easy! We’ll take you through a short series of questions in our onboarding process. We use your answers to determine your child’s estimated reading level and reach out if we have any questions.
As your child completes each level, they will automatically progress to more difficult books. If the books are ever too easy or hard, please let us know and we can help change their reading level.
If a child is reading on the appropriate level, they should make 1-10 mistakes per book. Any more than this and we find they get frustrated and overwhelmed. Less mistakes and we find they get bored and aren’t engaged.
By answering a few short questions, we can help determine your child’s appropriate developmental reading level. We are also happy to set the reading level to whatever they are reading at school, as determined by their teacher.
No problem! We want each child to have the best experience possible. This means making sure they are reading on the right level for their abilities. Please email or text Customer Support and we will be happy to make any adjustments you may need.
Yes! The books will stay available in the app so you can enjoy them over and over again.
If you choose to allow it, we process the audio of your child reading so that Ello can provide real-time support and motivation, and so your child can access certain features of the app, such as listening to themselves read. Separately, you can opt-in to give us access to this data so that we can improve Ello.
We also collect data of your child's progress to provide the service (for example the rewards).
It is up to you on what data we collect - it is optional. You will be asked if you would like to opt-in to data collection after downloading the app.
All data is anonymous and aggregated and used to improve the product.
It's very secure. We use industry-leading encryption and security.
In most cases, your first Ello box will ship the business day after your order or monthly renewal. Occasionally, we may have some questions about your child’s reading level or your shipping address. If that is the case, we will reach out by email. We will also send an email confirmation with a tracking link so you can watch the shipment of your box. Once sent, you should receive your box within 2-8 business days via USPS Media Mail.
Elizabeth is a clinical psychologist who specializes in child development, child behavior, and working with children and families in community settings, schools, clinics, and hospitals. She has worked with children and families for over 15 years. She provides training and education to students and professionals, has presented at national and international conferences, has published articles and book chapters on child development, and has been interviewed by magazines and radio programs on a variety of parent topics. She lives in Northern Virginia with her husband, two children, and labrador.
Favorite Children’s Book: Where the Wild Things Are
Lauren has been teaching and tutoring in the reading field since 2004, and has worked with students from preschool through college. She has a B.A. in English from California Polytechnic University, San Luis Obispo, and her M.S. in Education with an emphasis in Reading Instruction from California State University, Fullerton. Lauren has training in the Orton-Gillingham method of instruction and is actively involved in the Science of Reading movement so that all children, including those of diverse backgrounds and neurologies, can become strong, motivated readers.
She lives in Southern California surrounded by a large extended family, including 8 nieces and nephews under age 4. They are all budding bookworms, at least according to their doting aunt.
Favorite Children’s Book: Charlotte’s Web
Nick Haber is an Assistant Professor at the Stanford Graduate School of Education, and by courtesy, Computer Science. After receiving his PhD in mathematics on Partial Differential Equation theory, he worked on Sension (with Tom and Catalin), an EdTech company. He then worked with Catalin on the Autism Glass Project at Stanford, a research effort that employs wearable technology and computer vision in a tool for children with autism. Aside from such work on learning and therapeutic tools, he and his research group develop artificial intelligence systems meant to mimic and model the ways people learn early in life, exploring their environments through play, social interaction, and curiosity.
Favorite Children’s Book: Roxaboxen by Alice McLerran
Michael Auli is an industry scientist based in Menlo Park, California. His work spans machine learning, speech, and NLP, and he helped create projects such as wav2vec/data2vec, the widely used fairseq toolkit, the first modern feed-forward seq2seq models outperforming RNNs for NLP, and several top-ranked submissions at the WMT news translation task in 2018 and 2019. Before that, Michael was at Microsoft Research, where he did early work on neural machine translation and using neural language models for conversational applications. During his PhD at the University of Edinburgh, he worked on natural language processing and parsing.
Favorite Children’s Book: The Adventures of Tom Sawyer