Nine sectors.
That’s the first thing I look at when someone asks where Kalvium graduates end up.
Not the rate. The spread.
Because where a batch lands tells you things about the programme that the headline percentage never will.
Here’s the Batch 2026 breakdown, from the Student Success Report page 13:
AI and Data, 19.4%. IT Services, 17.7%. SaaS, 16.1%. HealthTech, 12.9%. FinTech, 11.3%. Media and Gaming, 8.1%. EdTech, 6.5%. FoodTech, 6.5%. EVs, 1.6%.
Nine sectors. No single one above 20%.
That’s not an accident.
What the sectors are telling you
The largest single bucket is AI and Data at 19.4%.
That’s the most useful signal in the spread.
Not because AI is fashionable, though it is. But because AI and Data roles have specific technical requirements that a lot of CSE graduates, even strong ones, can’t meet straight out of college.
Data pipelines. Model deployment. Vector databases. APIs that sit between a model and a product and need to be reliable under load.
These aren’t skills you pick up in a pre-placement workshop in the final semester. They require students who’ve worked with these systems before they walk into a hiring loop. The company is going to ask you to build something on day one, not in week twelve after induction. Students who’ve never done that before show up in the first month.
The Kalvium curriculum starts AI and ML fundamentals from Year 1, introduces Generative AI Systems in Year 2, and builds into Applied AI and Agentic Systems by Year 3. That’s coursework running alongside daily coding practice and live company work, not a final-year bolt-on. The AI and Data bucket leading the spread is partly a downstream consequence of how early that exposure starts and how consistently it deepens.
IT Services comes second at 17.7%.
That’s the traditional landing zone for a CSE fresher, and it’s still strong. Thoughtworks, Lowe’s, Maersk, and 7-Eleven are among the recruitment partners in this lane. Not all IT Services work is undifferentiated. These are companies with real engineering teams, not service-delivery-only operations. The roles require the same fundamentals: write code that works, explain it clearly, maintain it when something breaks.
SaaS is 16.1%.
Product companies building software on recurring revenue: Yellow.ai, Clari, Raksul. The engineering work here is different from IT Services. More product ownership, less client instruction, more latitude on design decisions. Students who’ve shipped working software from their first year tend to land here better, because they’ve already made design decisions under real constraints and defended them.
HealthTech at 12.9% includes Tata 1mg and Medable.
A lot of families assume HealthTech requires a biology background. It doesn’t. It requires strong engineering fundamentals applied to health data. Tata 1mg’s engineering team builds the same kinds of systems any product company builds: APIs, databases, mobile backends, reliability infrastructure. Medable, which works on clinical trial technology, is the same. The sector label is about the domain, not about a different type of engineering skill.
FinTech at 11.3% includes Morgan Stanley, PhonePe, and Rupeek.
FinTech is one of the more demanding entry-level markets in India. PhonePe specifically runs at India-scale payments infrastructure. Uptime requirements are extreme. Error tolerances are narrow. That’s not where a company places students who’ve spent four years only studying about systems but never actually ran one.
Media and Gaming at 8.1%. EdTech and FoodTech each at 6.5%. EVs at 1.6%.
The smaller buckets matter too.
EVs is small but real. Students are landing in electric vehicle company engineering teams. That tells you something about how the programme’s full-stack skills transfer to adjacent domains, not just software product companies. The underlying engineering, APIs, data handling, system design, translates. A student who can build and deploy a reliable backend is useful in EV fleet management systems as much as in a payments product.
What no single sector above 20% means
Here’s the thing.
A placement spread concentrated in one sector is a concentration risk.
If that sector slows, the whole picture changes. I watched this play out with batches from colleges whose placements leaned heavily on one or two large IT Services companies when the hiring cycle tightened in 2022 and 2023. The colleges weren’t doing anything wrong. They’d built strong relationships with a handful of companies and it worked until it didn’t. The batches that came through in those two years had fewer options than the brochure implied, because the options were always the same two or three employers.
Nine sectors, no single one above 20%, means the students who came out of this batch could be placed in roles that were genuinely different from each other.
That’s a signal about what the programme actually builds.
The students landing in HealthTech roles are not students with a different skill set from the ones landing in FinTech. They’re the same students, with the same full-stack engineering capability, landing in different domain applications of it. A student who can design an API, write tests for it, deploy it, and debug it in production is useful in health data, financial infrastructure, logistics systems, and media platforms. The sector is a variable. The capability is the constant.
I’ve spent most of my career on the education side of this. But I’ve sat with enough hiring managers across different industries to know that companies in every sector are now looking for engineers who can work on real systems, not just talk about them. The sector diversity in this spread reflects that reality. The companies hiring from Kalvium are not doing so out of goodwill or partnership obligation. They’re hiring because the students can do the job on arrival.
That distinction matters more than it sounds.
The international number
28% of Batch 2026 offers were international. 72% were domestic.
The Student Success Report documents this alongside a named list with company logos and country flags. Morgan Stanley and Medable are in that list.
I want to be careful about what to say here. International offers can mean different things in different placement reports, and the specific roles and locations aren’t broken down further in the published figures.
What’s clear is that international recruitment partners are not selecting from Indian college batches out of goodwill. They’re hiring for real engineering roles, and the screening process they run reflects that. These are companies that have the option to hire locally in their home markets. When they extend offers to students in India, it’s because those students passed the same technical bar.
If your primary interest is working in India, 72% domestic is the number that applies to you. If international is a goal, the 28% is documented, but it’s not a number to project onto yourself individually.
What this doesn’t tell you
The sector spread doesn’t tell you the specific role within each sector.
AI and Data covers machine learning engineers, data analysts, data pipeline engineers, and AI product engineers. Those are different jobs with different day-to-day realities and different long-term trajectories. The sector label is a useful starting point, not the full picture.
The spread doesn’t tell you what any individual student will land.
82.40% placed, median Rs 16.5 LPA, floor Rs 15 LPA, as of March 2026. Those are cohort figures. The floor matters more than most families realise, because it’s what the programme produced for students who weren’t the outliers. What individual placement looks like depends on the specific work and build record a student develops through the programme, not just that they enrolled.
And this is from the first graduating batch. The spread will move as more cohorts graduate and more recruiting relationships develop over time.
Manik’s analysis of how to read Kalvium’s placement numbers honestly goes deeper on the rate methodology, what the denominator means, and the five questions worth asking any college about its placement data. That post is the complement to this one. Start there if the rate is what you’re trying to understand.
For the complete picture of the programme, including the nine partner universities for Admission Year 2026-27, the curriculum structure, and what a student actually does across all four years, the complete guide for families has everything in one place.
The question the spread actually answers
Families usually ask: will my child get a job?
The placement rate answers that, more or less.
The sector spread answers a different question. The more interesting one.
It asks: what kind of engineer is this programme producing, and in how many directions can that engineer go?
Nine sectors. No single one above 20%. Companies ranging from India-scale payments infrastructure to clinical trial technology to EV systems engineering.
That’s the answer.
Rajesh is a co-founder of Kalvium. Rajesh and Venkat previously co-founded FACE Prep, where they worked with 2,000+ institutions across India. He writes about what it takes to produce engineers who can do real work, and what the data from real batches actually tells you.