Shimira ITEdTech & e-learning development
Learning products people actually finish.
Learning products don't fail because the content is wrong, they fail because people stop. Engagement is the whole game, and at any scale it depends on two things most teams underestimate: personalization that feels individual, and content pipelines that don't need a human touching every item.
We build EdTech products around exactly that. The children's-book platform we built generated a personalized story and a print-ready book per child, fully automated, the same thinking applies to courses, reading, and any learning experience that has to feel one-to-one at scale.
What matters here
What an EdTech product needs
Personalized experiences
Content that adapts to the learner, by name, level, or path, so it feels made for them, not for the average of everyone.
Automated content pipelines
Generate, assemble, and deliver learning content without a person in the loop for every item, the only way personalization scales.
Interactive learning
Quizzes, progress, and the feedback loops that keep learners moving instead of drifting away.
Output that leaves the screen
Certificates, reports, or, as with our book platform, print-ready files generated on demand.
- Node.js
- Next.js
- OpenAI
- Puppeteer
- PostgreSQL
- AWS
We've shipped in this space
SnuggleRead.com
A personalized children's-book platform we built: AI story generation and print-ready book production, fully automated, no designer touching an order.
What goes wrong
Where learning products fail, and how we build around it
Drop-off after the first week
Sign-ups are easy; completion is the real metric. We design the learning loop first (content, practice, feedback, progress) and add streaks and reminders that bring people back.
Personalization that doesn't scale
If a person has to prepare every lesson or worksheet, growth stalls. Automated pipelines generate, assemble, and deliver content so each learner gets their version without extra staff.
AI that says the wrong thing
Generated content has to be accurate and age-appropriate. We keep AI inside human-written structure and strict rails, the approach behind every story SnuggleRead produced.
Compliance discovered late
Children's privacy rules, school data rules, and accessibility requirements shape the data model and interface. Designed in from the start, they cost little; retrofitted, they cost a lot.
Running costs that creep
Video delivery and AI generation are billed by use. We estimate them up front and design to keep them proportional to revenue.
How it runs
From idea to learners who finish
- 01
Discovery & learning loop
1–3 weeksWho the learners are, what they should be able to do afterwards, the content model, and a clickable prototype.
- 02
MVP build
6–10 weeksContent delivery, accounts, progress, and the core practice loop, in two-week sprints with working demos.
- 03
Pilot with real learners
2–4 weeksCompletion and engagement measured on a real group, then fixes based on where people actually stop.
- 04
Personalization & scale
2–4 monthsAdaptive paths, AI generation, content pipelines, and mobile, added once the core loop is proven.
Timelines & pricing
Honest ranges, before you commit.
| Tier | What's included | Timeline | Typical cost |
|---|---|---|---|
| MVP | Content delivery, learner accounts, progress tracking, simple admin | 6–10 weeks | $7,500 – $18,000 |
| Standard | Interactive lessons and quizzes, payments, gamification, instructor tools, mobile | 2–4 months | $18,000 – $35,000 |
| Personalized platform | Adaptive or AI personalization, automated content pipelines, generated output | 4–6 months | $35,000 – $55,000+ |
Costs by product type and feature, build vs. buy, and compliance are covered in our e-learning app development cost guide. If personalization means AI, see the AI app cost guide for running costs.
Before you choose
How to choose an EdTech development partner
- Measurement. Ask how they'd know learners are actually learning and finishing, not just signing up.
- Personalization. Ask what adapts to each learner, and what keeps AI-generated content accurate and appropriate.
- Build vs. buy. A good partner will tell you when a hosted course platform is the better answer.
- Standards. If you need to work with an existing LMS, ask about SCORM, xAPI, or LTI.
- Compliance. Ask how children's privacy, school data, and accessibility requirements will be handled if they apply to you.
- Running costs. Ask for estimates for video delivery and any AI generation, not just the build.
How you work with us
Three ways to engage.
Fixed price
Prototypes from $7,500
Production MVPs from $25,000
You know what you need built. We scope it, quote one price, and deliver against it, no meter running.
- One agreed price, agreed before we start
- Milestone-based payments tied to what you can see
- Change requests priced openly, never assumed
Time & materials
from $28 / hour
Blended ~$32; senior specialists to ~$45
For work that changes as you learn. You pay for the hours spent, see exactly where they go, and can steer week to week.
- Billed on real, logged hours, reviewed with you
- Reprioritise or change direction any sprint
- Start small, scale the team as it proves out
Dedicated team
from $2,800 / month
Per developer, full-time, see the rate card
Developers who work only on your product, full-time, as an extension of your team, the offshore model most of our long-term clients settle into.
- The same people, month after month
- Your tools, your standups, your roadmap
- Roughly half the loaded cost of a local hire
Full rate card and what's included on the pricing page.
Questions
Before you get in touch.
Yes, it's exactly what we built for SnuggleRead, generating a unique personalized story per child inside strict, age-appropriate rails. We apply the same controlled-AI approach to learning content.
We do, whether you're extending an existing platform or building fresh, we connect to the tools and standards your learners and staff already use, including SCORM, xAPI, and LTI where needed.
An MVP costs $7,500–$18,000; a standard platform runs $18,000–$35,000; a personalized, AI-assisted platform runs $35,000–$55,000+. Ongoing work fits a dedicated team from $2,800/month per developer. Full breakdown in our cost guide.
An MVP takes 6–10 weeks after 1–3 weeks of discovery. We recommend a 2–4 week pilot with real learners before adding personalization and mobile, which typically takes another 2–4 months.
If you're selling courses and a hosted platform does what you need, use one. Build custom when the learning experience itself is your product: personalization, a specific teaching approach, a children's experience, or learning built into software your users already use.
Yes. SnuggleRead was a children's product we built and ran. Children's products need extra care with privacy, content safety, and parental controls, and we plan for those from the first design.
Cost guides
Budgeting for this?
Real 2026 numbers, worked examples, and the hidden costs most quotes leave out.
E-learning app development cost in 2026: a complete breakdown
Costs by tier, product type, and feature, build vs. buy, personalization levels, compliance for children's and school products, and running costs.
Read the guide →How much does AI app development cost in 2026?
Build ranges by use case, a worked monthly model-cost example, RAG vs. fine-tuning, ROI maths, and the hidden costs most AI quotes skip.
Read the guide →Not sure what you need yet? That's the usual starting point.
Tell us the problem in your own words. We'll scope it with you and put the plan in writing, free, and yours to keep either way.