→ Learning map
We understand how you teach
Show us how learning works today — who teaches, who learns, and where the friction lives. No fifty-page spec needed.
Learning technology for educators & education businesses
Custom learning systems, built around the way you teach.
We design LMS platforms, AI learning tools and custom education software shaped around your workflows, pedagogy and business model.
Learning platformInterface capture
Selected work
Learning systems we’ve built
Three different problems, and three different shapes of system.
01Learning operations
Learning Management System
An end-to-end learning environment for educators, learners, cohorts, assessments and communication.
Built mobile-first: the whole institute — cohorts, attendance, test series, content, announcements — runs from the phone in the room.
Educator app · Learner app390 × 844
390 × 844
390 × 844
one system, two roles, in the pocket
02Classroom systems
SAAVI
A voice-first teaching assistant generating curriculum-aligned lessons in regional languages, live across five pilot schools.
saavi / class-7 / hindi · session 12
16 × 9
one system — learner, teacher, parent
03Edge AI + hardware
Posture Correction System
A plug-and-play desk device reading sitting posture from a standard webcam, built to predict chronic risk rather than nag.
Desk unitPi 5 · IMX500
4 × 3
it watches the week, not the moment
04Research infrastructure
Syrus
An agentic research engine that turns a plain-language question into fact-checked, source-cited writing.
2025 — End-to-end productView case study
syrus / research / fact-check
16 × 9
nothing is written before it is checked
OperationsTeachingSensingVerifying
run the institute, teach inside it, read the room, prove the answer.
What we build
Built around how you teach
No two learning businesses teach exactly the same way. We use strong learning-system foundations and shape the experience around your learners, educators and model.
Foundation
Learning core
Identity, roles, cohorts, content, data and permissions — the part that stays reliable while everything above it changes.
- Roles & permissions
- Content model
- Learning data
- Integration layer
one foundation, configured differently
01
Learning management
Courses, cohorts, content, attendance
02
Assessments & test systems
Tests, assignments, question banks, evaluation
03
Student & educator workspaces
Dashboards, profiles, progress, workflows
04
Classroom & community
Discussion, collaboration and live learning
05
AI learning tools
Tutors, copilots and content intelligence
06Open-ended
Custom modules & integrations
Built around requirements specific to the learning model
These are starting points, not packages.
The software should follow the learning model — not the other way around.
Buildvriksh · learning technology studio
Working method
We understand the learning model before we decide what the software should become.
read it like a page from the notebookSheet 04 · Process flow
→ Product blueprint
We map the system
Roles, workflows, modules and priorities get settled while they are still a decision rather than a rewrite.
→ Prototype
You see it before we build it
We prototype the important educator and learner journeys first, while changing them is still easy.
nothing gets built before this is agreed
→ Pilot
We build the first working version
The smallest version that solves the real problem well, shown working throughout development.
→ Live system
We launch, learn and evolve
Rollout, migration, then watching how the system is actually used — and letting it evolve with the business.
And back to 01
What we learn in production changes the next map.
- Weekly demos
- Shared roadmap
- Clear milestones
The learning model is decided first — the software follows it.
Buildvriksh · learning technology studio
From documented review sessions with the people who used the work.
Evaluating it against real patients rather than a synthetic dataset was the right call — the correction window and the stability filter are what a clinician would actually ask for.
4.5 / 5
Reviewed with Bachelor of Physiotherapy students under faculty mentorship spanning both AIML and Physiotherapy perspectives, which puts the accuracy path on clinical rather than synthetic ground truth.
Being able to ask a question in the middle of a session and get an answer straight away is the part we would miss if it went away.
4.0 / 5
Averaged across 10 documented SAAVI validation interviews. Real-time doubt solving and the shared progress view were named most often as the reason for the score.
Research, experiments and papers behind the systems we build.
Start with your model, not a spec
Tell us how you teach.
Bring us your current workflow, a rough idea, or simply a problem you haven’t translated into features yet.
We’ll help shape the system around it.