Most cricket fans know the DRS. The Decision Review System. The technology that lets a fielding or batting team challenge an on-field umpiring call by appealing to ball-tracking data, Snicko edge detection, and ultra-motion replays.
But here’s what most fans don’t think about: when the ICC standardised DRS across international cricket, the most interesting decision wasn’t which sensor to install. It was the decision to invest in the review architecture at all, rather than just training better umpires. The ICC said, in effect: expert human attention has a ceiling on what it can accurately track in real time. Build the infrastructure.
The game still gets played. The umpires still make the first call. But the system that catches what human attention misses is now the celebrated innovation, not the runs on the board.
When the Ministry of Education recognised HEROS as one of the top AI innovations in higher education at the Bharat Bodhan AI Conclave 2026, I found myself thinking about that ICC decision. Because it’s the same logic.
The recognition Kalvium received at the Bharat Bodhan AI Conclave 2026 works like that. It’s worth reading carefully for what it noticed.
What happened
The Ministry of Education, at the Bharat Bodhan AI Conclave 2026, recognised HEROS as one of the top AI innovations in higher education in India. This was a national initiative by the Honourable Union Education Minister Dharmendra Pradhan, held at Bharat Mandapam in New Delhi.
Not the placement outcomes. Not the curriculum design. Not the cohort size. The monitoring system.
HEROS is the Higher Education Real-Time Operating System. It isn’t what students see in a prospectus. It’s the infrastructure running under the programme.
A national education body noticed it. That’s worth thinking through.
What HEROS actually does
Here’s what the system does, in the words Kalvium uses on its homepage: it continuously monitors student learning and progress. It identifies gaps early and enables timely mentor support. It evaluates performance using clear and consistent criteria. It tracks learning activity across every session and milestone.
Put plainly: HEROS is the mechanism that knows something is going wrong before the end-of-semester exam makes it undeniable.
Most engineering programme infrastructure isn’t built for early signal. It’s built for record-keeping. A student who struggles in October gets an exam grade in December that confirms the struggle. The gap between signal and possible correction is months. In a programme that runs continuously, not in semester-end bursts, that gap produces a specific kind of failure. Not the sudden collapse. The slow drift that nobody noticed until it was too late to do anything useful about it.
HEROS is designed against that pattern. The monitoring isn’t periodic. It runs across every session and milestone. The identification of gaps isn’t retrospective. It’s designed to be timely enough that a mentor can respond developmentally, not just record the outcome.
For a programme running at 2,223 students across nine campuses, that’s not optional infrastructure. That’s the mechanism that makes the design hold at scale.
What it means when a government body notices the monitoring
Here’s what I find interesting about the Bharat Bodhan recognition, and why I think it’s worth sitting with for a moment.
The usual signal a government education body looks for is outcomes. Placement rate. Graduation rate. Student satisfaction score. These are lagging indicators. They tell you what already happened. They don’t tell you whether the system that produced the result can produce it again, or what happens when a cohort runs into genuine difficulty mid-semester.
When the Ministry of Education recognises a real-time monitoring system as a top AI innovation in higher education, it’s asking a different question. Not “what was the result?” but “how is this programme designed to know what’s happening right now, and to respond to it?”
That’s an unusual thing to get noticed for. And I’d argue it’s the more consequential thing.
Any programme can report strong outcomes in a given year. Good cohort, good conditions, a few recognisable names on the placements list. The question is whether the system that produced those outcomes is legible enough to understand and calibrated enough to improve when it needs to. The Ministry, at this conclave, seems to have been asking exactly that question.
The systems argument
In the design of Kalvium’s mentor and squad system, HEROS works alongside two human layers. Technical Mentors support technical skills. Professional Coaches support professional behaviour and the non-technical side of working in a technology environment. The numbered squad structure adds a peer accountability layer. But HEROS is the first signal. It runs before the humans have had a chance to notice a drift in a student’s trajectory.
That layering matters more than it might appear.
Human attention is finite and often late. A mentor responsible for twenty students can’t track twenty daily learning trajectories with the precision of a system built specifically to do that. HEROS doesn’t replace the mentor’s judgment. It surfaces what the mentor needs to exercise judgment on, earlier. The correction available in week two is developmental. The correction available in month four is remedial. The difference between those two is not minor.
What makes HEROS a genuine AI application in education, rather than a decorative one, is the information volume it handles. It’s not generating learning content or writing quiz questions. It’s doing continuous monitoring work across every session and every student, at a volume and frequency that human attention can’t sustain at this scale. That’s the specific problem it’s designed to solve.
The recognition from the Ministry of Education is a confirmation, to me, that what HEROS does is legible to people who think carefully about what education infrastructure needs to do. Not all external validation carries that signal. This one does.
What it means for a student in practice
A student at Kalvium who is having a difficult week in November is not invisible.
In a traditional programme, difficulty in November shows up in the December exam. By then the semester is over. The correction available is remedial, not developmental. The student patches a gap rather than continues to build from where they actually are.
An early-signal system changes the timeline of the response. The gap is identified while there’s still space to address it. The mentor support is calibrated to what’s actually going wrong, not to the symptoms that appear later. The student’s trajectory in week eight doesn’t have to define how the semester ends.
That’s the practical consequence of the design. The Bharat Bodhan recognition confirmed that the mechanism is substantive enough to be noticed by a body whose job is evaluating exactly this kind of infrastructure. That’s a meaningful confirmation, not just a reputational one.
A close
I was in a conversation once where someone said the most important thing a monitoring system can do is make the problem boring.
Not invisible. Boring. The gap that would have been a crisis at semester’s end is caught early enough that it becomes a routine mentoring conversation. The data that would have been a surprise is surfaced early enough to be unremarkable. The failure that accumulates in silence is noticed at step two, not step twenty.
That’s the design target. Not to be impressive. To be so reliably useful that the moment it works feels ordinary, and only the absence of it would be noticed.
I think the Ministry recognised something real at Bharat Bodhan. The question that follows, always, is whether the system actually delivers what it’s designed to do, in the sessions and moments where it matters most. That’s the ongoing work, not the recognition.
Still figuring out, honestly, what it feels like when the external validation arrives before the team’s own certainty about whether they’ve got it completely right.
Deepak is a co-founder of Kalvium. He writes at the intersection of education design, philosophy, and how engineering careers are built. Read more from Deepak or explore the B.Tech category.