Reader Inc. today announced the general availability of its institutional offering: custom-branded builds of its assisted-reading software for schools and universities, and Student Groups, a class-level layer that lets instructors run reading practice for an entire cohort while every word a student reads stays on the student's own device.
Reader Inc., the company behind the local-first assisted-reading app at readerinc.com, today announced that its institutional offering is generally available. Schools, school districts and universities can now deploy a custom-branded build of the Reader trainer on their own subdomain — their name, their mark, their apps — and organise students into Student Groups, a classes layer that gives instructors a roster, shared reading assignments, and lifted daily word limits for enrolled students.
The consumer app famously has no backend: the pacing engine, the comprehension drills and the neural text-to-speech voice all execute on the reader's own device, and nothing a person reads ever leaves their machine. The institutional platform keeps that promise intact. Its multi-tenant cloud carries only identity and class structure — who is enrolled, and that practice happened. Staff can see that a student read. They can never see what.
"Every accommodation office we spoke to asked for the same two things that usually cannot coexist: visibility that students are actually practising, and a guarantee that no one — including us — is reading the students' documents. Because our product runs entirely on the student's device, we can offer both, and the privacy promise is enforced by the architecture rather than by a policy page."
Valentin Perlov, founder, Reader Inc.
With today's launch, an instructor creates a Student Group, names it after their class, and invites students by link. Enrolled students train with the full app — the word-by-word trainer, the Gym's drill programme, the public-domain library and the on-device Reader AI — free of the consumer tier's 5,000-word daily limit while their seats are active. Institutions buy seats in packs of ten or more; custom-branded builds are engagements from $5,000, and a one-term pilot is available so a single cohort can prove the tool before a wider rollout.
"A term is long enough to find out whether this works for your students. We would rather win renewals with results than lock anyone into a platform."
Valentin Perlov, founder, Reader Inc.
The offering is live today. Institutions can see walkthroughs for K-12 and university settings at readerinc.com/demo-k12.html and readerinc.com/demo-university.html, and reach the founder directly through the institutional page.
Reader Inc. builds assisted-reading software that runs entirely on the reader's own device — a word-by-word reading trainer, a drill gym, a public-domain library, an on-device neural voice and Reader AI, delivered on the web, in a browser extension, and in desktop and Android apps. The company is honest about what the reading research does and does not support, and keeps what people read private by architecture, not by policy. Reader Inc. is founder-led and based online at readerinc.com.
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