AI Development for EdTech:
Built by EdTech Operators
Kalvium Labs is itself a product of Kalvium, India's first AI-native engineering program. We don't just build AI for EdTech clients. We operate an EdTech product at scale every day. Three production case studies. Three founders with direct operator backgrounds.
Below: the three EdTech systems we ship most often (assessment platforms, coding-evaluation infrastructure, AI course content), the operator credibility behind each, real production numbers, and how to know if your build fits our depth.
The founders who actually built EdTech before
Most AI dev shops are domain-blind. EdTech is the one vertical where we have an unfair advantage. All three co-founders have direct operator backgrounds in EdTech. The case studies on this page didn't happen by accident.
Venkat
Ex-FACE Prep. Ran one of India's major test prep / employability EdTech companies for years before co-founding Kalvium Labs. Knows EdTech buyer psychology, content design, assessment architecture, and student engagement from inside the operator's chair.
Anil
Ex-HackerRank, ex-Google. Built coding-assessment / coding-evaluation infrastructure at one of the most respected names in that exact category. The custom compiler engine in our coding-assessment case study came directly from that experience.
Rajesh
CEO of Kalvium — India's first AI-native engineering program (founded 2021). 18 years of tech × employability experience. 3-time founder. The parent company that Kalvium Labs is itself a product of.
The three EdTech systems we ship most often
Most EdTech founders come to us with one of three buy-vs-build questions. We have a verified case study on each. Click through for the full architecture and outcomes.
Online assessment infrastructure that scales
Multi-tenant assessment platforms that handle exam-day traffic spikes, course-launch load, and payment processing without falling over. Built one in 3 weeks for a K-12 EdTech client, scaled to 1.5L concurrent users on launch day.
Custom compiler engine, real-time test execution
Coding-assessment platforms with sandboxed execution, language-specific runners, and deterministic grading. We replaced a costly third-party compiler service with our own, saving infrastructure cost and unlocking custom test logic the third-party didn't support. Anil built coding-evaluation infrastructure at HackerRank before this; the architectural lessons came directly with him.
Course content pipelines that turn weeks into days
Structured content generation pipelines for EdTech providers. Generates course outlines, lesson content, assessments, and learning paths from subject-matter input. Cut one EdTech provider's course development cycle from 4 weeks to 1 day, a 95% reduction in time-to-publish.
Who we build for
We're best fit for B2B EdTech founders building real product, not classroom-management tools. If two or more of these describe you, we're a strong match.
EdTech founders adding AI features post-Series A
You have a working B2B EdTech platform and customers asking for AI-powered features. You need engineering depth, not advice.
Test prep / employability companies scaling content
Your content team is the bottleneck. Course development cycles are weeks. You want a 95% reduction without losing quality control.
Assessment platforms scaling for exam-day traffic
Your platform falls over on launch day or exam day. You need multi-tenant infrastructure that handles 100K+ concurrent users on demand.
Coding bootcamps + coding-assessment platforms
You need real-time code execution, sandboxing, deterministic grading. Anil built this at HackerRank. We've shipped it again at our coding-assessment client.
EdTech operators with engineer-shaped pain
You know what to build. You don't have an engineering team that understands EdTech. We do.
B2B EdTech in India, US, or the Gulf
EdTech buyers in our markets. We do not chase US K-12 districts or FERPA-regulated procurement; that's a different business.
What we don't do (and will tell you on the call)
Saying yes to everything is the fastest way to ruin an EdTech project. Here's where we'd point you elsewhere.
FERPA / US K-12 state procurement
We have no US K-12 client. The compliance, sales motion, and review cycles are a different business than ours.
Deep LMS integration at scale
Moodle, Canvas, Blackboard at enterprise scale isn't our verified depth. We can do basic LTI integration; we won't claim more.
Personalised learning paths
Adaptive learning, knowledge tracing, curriculum personalisation at scale is a research-heavy domain. We've shipped assessment, not personalisation.
Consumer EdTech apps
B2C engagement, gamification psychology, and viral acquisition motions are different muscles. We serve B2B EdTech providers and platforms.
Common questions
How much does it cost to build EdTech AI?
An assessment-platform MVP runs $15,000-$30,000 fixed-bid. An AI course content pipeline runs $20,000-$40,000. Coding-evaluation infrastructure with a custom compiler runs $25,000-$50,000. Smaller scoped builds start at $5,000. We always start with a 72-hour prototype before quoting.
How long does an EdTech AI build take?
Our last assessment-platform MVP was kickoff to production in 3 weeks. AI course content pipelines typically take 4-6 weeks. Coding-evaluation infrastructure (with the compiler engine) takes 6-10 weeks. Every project starts with a 72-hour prototype.
What makes Kalvium Labs different from a generic AI dev shop for EdTech?
Three things. (1) Three production EdTech case studies on disk, more than any other industry we serve. (2) All three founders are EdTech operators: Venkat ran FACE Prep, Anil was at HackerRank, Rajesh is CEO of Kalvium. (3) Our parent company is itself an EdTech product. We operate at scale, we don't just consult on it.
Can we use your engineers for ongoing EdTech work, not just one project?
Yes. Our dedicated-pod model gives you one full-time-equivalent engineer (or a fractional team across AI + frontend + backend) at $1,999-$2,999 per month, including fractional PM time and CTO review. EdTech founders often start with a fixed-bid project and roll into a pod for ongoing iteration.
Will you sign an NDA before the discovery call?
Yes, on request. We sign a mutual NDA before any specifics are shared. Most EdTech founders don't ask for one until call two; the discovery call itself is high-level enough that we usually don't need it. Either way, your call is confidential.
Talk to an EdTech operator about your build
30-minute call with a founder who's been on your side of the table. Tell us your build, we'll tell you whether we can prototype it in 72 hours and what it would actually cost.
Usually reply within hours, max 12.
More on how we build EdTech AI
Assessment Platform: 1.5L Users in 3 Weeks
How we scaled a K-12 assessment platform from MVP to 1.5 lakh concurrent users on launch day.
Coding Assessment with Custom Compiler
How we replaced a costly third-party compiler with our own real-time execution engine. Anil's HackerRank lineage shows.
AI Course Content: 4 Weeks to 1 Day
How we cut an EdTech provider's course development cycle by 95%.