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For India's private universities

The AI department, embedded on your campus.

Kompas AI partners with Indian private universities to deliver on-campus, credit-bearing AI specialisations across every discipline. NEP 2020 aligned, faculty included.

Talk to our partnerships teamRead why on-campus AI matters
NEP 2020Credit-mappedNAACEvidence-readyAICTEModel-curriculum alignedNBAOBE-mapped

The Kompas AI portfolio

Five tracks, designed for every discipline you teach.

AI does not mean the same thing to a B.Tech CSE student as it does to a B.A. English student. Our portfolio is segmented by host-degree discipline because discipline-relevant AI is the only AI that sticks.

Track A · For B.Tech CSE / IT / AI-ML, BCA, M.Tech

Deep AI for Computer Science

Eight courses (A1–A7 + capstone) spanning classical ML, deep learning, NLP/LLMs, generative AI, agentic systems, AI engineering, and responsible AI.

Formats: Specialization · Minor · Electives

Explore Track A

Track B · For B.Des, M.Des, B.Arch

AI for Design

Six courses (B1–B6 + capstone) covering AI literacy for designers, generative design studios, AI-assisted UX/UI workflows, 3D/motion/video AI, AI in product and industrial design, and the design of AI experiences.

Formats: Specialization · Minor · Electives

Explore Track B

Track C · For BBA, MBA, PGDM, BMS, B.Com

AI for Management

Seven courses (C1–C7 + capstone) covering AI for business strategy, marketing, product management, finance, operations, HR, and AI governance.

Formats: Specialization · Minor · Electives

Explore Track C

Track D · For B.A., LL.B., B.Sc., B.Ed., BJMC, BFA, BHM, others

AI Literacy for All Disciplines

Three layers: a universal AI literacy module, ten discipline-specific AI modules, and a career-bridge module so every graduate exits AI-capable regardless of degree.

Formats: Universal Module + Discipline Modules + Career Bridge

Explore Track D

Track E · For Your faculty + research labs

Faculty Enablement & Research

Faculty AI upskilling, AI research lab setup-as-a-service, AI curriculum audit and accreditation support, and an AI innovation cell.

Formats: Faculty upskilling · Research lab · Accreditation

Explore Track E
Browse all tracks →

Industry in the room

Five live work sessions a week. From people who actually ship AI.

Reading about AI is not training in AI. We bring practitioners from production AI companies to your campus every week — the screen, the prompts, the failures, the fixes. Not slides. Not recorded talks.

Industry in the room

Five live work sessions a week. Every week. On your campus.

Sample on-campus week · open to every Kompas-track student on the campus

  • Foundation-model lab

    Inference cost vs latency trade-offs

    Walks through this week's prod traffic and the routing decisions taken

  • Applied AI startup (B2B SaaS)

    Building a retrieval pipeline that doesn't hallucinate

    Live screen-share of an actual on-call retrieval bug from last week

  • Indian language AI org

    Tokenization for low-resource scripts

    Open notebook session — debugging a Devanagari subword tokenizer

  • Enterprise AI consultancy

    Evaluating an AI vendor before contracting

    Working through a real vendor scorecard from a current Indian enterprise client

  • Frontier-research lab

    Reading a recent paper as a working engineer

    Co-reading and re-implementing a single result from an arXiv paper from this week

Every session is a live screen — actual code, actual prompts, actual production decisions. No slide decks, no recorded talks.
Industry partners pay nothing for this access. They get a year of named-student visibility for hiring, in exchange for showing up.

Mastery is measured, not assumed

Adaptive learning routes each student to the gap that matters most.

The Kompas adaptive platform watches every assessment and routes each student’s next module accordingly. The same data gives the Dean a live, per-cohort view against the Skill Score rubric — week over week, never a quarterly surprise.

Dean’s view — capability dashboard

Where this cohort stands against the Skill Score rubric.

Sample cohort · 240 students · Week 14

  • Foundational12%
  • Practitioner38%
  • Applied32%
  • Advanced14%
  • Expert4%

Routed to weak spots

61 students were routed to a tightened RAG evaluation module after capstone milestone 2 flagged retrieval bias.

Moved a band

48 students moved from Practitioner → Applied this fortnight. Resident faculty signed off on every transition.

Faculty review queue

9 students have an open assessment that needs human sign-off. Resident faculty receive a daily digest.

Five bands. One rubric. Identical across every campus.

  1. Foundational
  2. Practitioner
  3. Applied
  4. Advanced
  5. Expert
The Kompas AI Skill Score is co-signed by hiring partners and applied identically across every partner campus.

What Kompas AI delivers

A turnkey, NEP-aligned AI department-as-a-service.

Six things every partner university gets, every campus, every cohort.

  • Resident faculty on campus

    Embedded AI Faculty live and teach where students already are.

  • Industry-co-designed curriculum

    Five tracks, refreshed every six months because AI does.

  • Weekly industry sessions

    Engineers from production AI companies — the actual screen, not slides.

  • Adaptive learning platform

    Per-student routing + a Dean's-view capability dashboard.

  • On-campus AI Studio

    GPU workstations, cloud credits, demo space configured on your campus.

  • Six-month curriculum refresh

    Contractually committed. Outdated content treated as a defect.

Built around four pressures

Every Indian private university faces the same four pressures, in roughly the same order.

  • NEP 2020 is operational, not aspirational.

    Multidisciplinary credits, AI minor pathways, and skill-based assessment are now compliance items at every UGC review. We arrive credit-mapped.

    Open curriculum library

  • There are not enough AI faculty in India.

    PhD-grade AI faculty cannot be hired into a CSE department in 2026 at scale, let alone every other discipline. We bring resident faculty.

    Track E — Faculty Enablement

  • Recruiters expect every graduate to be AI-literate.

    Placement teams are judged on AI-skill metrics regardless of degree. The Kompas Skill Score gives them a defensible, industry-co-signed signal.

    For employers

  • Rankings reward credible AI capability.

    Real AI programs uplift NIRF rankings, NAAC accreditation evidence, and external brand. Track E's research-lab module produces publishable output.

    Talk to partnerships

Why on-campus matters

Online AI education has a hundred competitors. On-campus AI education at scale has zero.

We do not run online cohorts. The constraint is also the moat.

Dimension
Online AI cohorts
On-campus, embedded (Kompas)
Mastery outcomes
Self-paced, completion-rate optimised — weak signal to employers.
In-person mastery, measured against a published rubric.
Faculty model
Recorded once, replayed for years — rare live human feedback.
Resident faculty + weekly working practitioners on campus.
University fit
Sits outside the degree, competes for student attention.
Inside the degree, credit-bearing, co-signed by the academic council.

How a partnership works

Six steps. About six months from first conversation to first cohort.

  1. Strategic conversation

    With your VC, Pro-VC, and relevant Deans about which tracks, which degrees, and which student cohorts to start with.

  2. Curriculum mapping

    Against your existing program structures and NEP / NAAC / AICTE / NBA requirements. We share full curricula in advance.

  3. Resident faculty + industry partners

    Embedded AI Faculty post to your campus full-time, plus weekly live work sessions from practitioners at our industry-partner companies.

  4. AI Studio + adaptive platform

    GPU workstations, cloud credits, demo space, and the Kompas adaptive platform configured on your campus with a Dean's dashboard.

  5. Cohort launch

    In the next academic intake. Continuous co-evaluation with your academic council. Six-month curriculum-refresh cadence written in.

  6. Hiring infrastructure

    Students gain access to the standardized Skill Score and the Kompas AI Talent Cloud, used by our hiring-partner network.

What we publish openly, before any conversation

Four artefacts you can read first. We publish them openly because we believe in them.

  • Research

    Annual State-of-AI report and the AI Skills Index.

  • How we teach

    The weekly industry-session cadence on a partner campus.

Where to next

Read the page that answers your role’s actual question.

  • If you are

    A university leader

    Engagement model, governance, three-year roadmap, and commercial structure.

    For VCs & Deans

  • If you are

    An employer

    How the Skill Score is co-signed and how to recruit graduates trained against it.

    For employers

  • If you are

    A student

    How to study with Kompas — through your university, not directly.

    For students

Talk to us

We are taking on a small number of new university partnerships per academic cycle.

Conversations typically begin with the Vice Chancellor’s office or the Dean of Engineering, Management, or Design.

Schedule a partnerships conversationBrowse the open curriculum