NEP 2020 is now operational, not aspirational.
Multidisciplinary credits, AI minor pathways, and skill-based assessment are now compliance items at every UGC review. We arrive credit-mapped to NEP / NAAC / AICTE / NBA.
Open curriculum library
The five-year window
India will graduate the largest cohort of degree-holders in human history into an AI-substrate economy.
India's private universities face a converging set of pressures: NEP 2020 mandates, an AI faculty supply crunch, employer expectations, and a ranking arms race. The strategic case for embedding AI on campus, in detail.
800+
Indian private universities
Educate the overwhelming majority of Indian degree-holders — the cohort the IITs and IIMs cannot reach.
>90%
of 2031 graduates
Will receive their degree from a non-IIT/IIM institution.
60–80%
of knowledge work AI-augmented by 2030
Industry projections vary; the trajectory is shared. Recruiter expectations follow.
5 yr
window before recruiter expectations harden
Universities that act now shape the standard. Universities that wait spend the next decade defending placement statistics they cannot improve.
Four converging pressures
Every Indian private university faces the same four pressures, in roughly the same order.
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 + train your existing team under Track E.
Track E — Faculty EnablementRecruiters now 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 applied identically across every campus.
For employersRankings and reputation 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, not just press releases.
Talk to partnerships
The capability gap, illustrated
Recruiter expectations are pulling away from curriculum reality.
Both charts are illustrative— the directional shape is the AI Skills Index’s headline finding; the precise numbers ship with the published report.
Graduate AI-readiness by university tier
Most 2026 graduates leave campus without working AI capability.
Illustrative — composite estimate pending the AI Skills Index 2026 H1.
- AI-ready graduates
- AI-substrate roles available
Source: Illustrative · Final figures with the AI Skills Index, forthcoming.
AI capability gap, 2024–2031
Where Kompas-powered cohorts meet recruiter expectations earlier.
Illustrative trajectory — directional, not absolute.
- Recruiter expectation
- Average graduate capability
- Kompas-powered cohort
Source: Illustrative · Final figures pending the AI Skills Index, forthcoming.
On-campus, not online
Why we refuse to deliver Kompas online.
Dimension
Online cohorts
On-campus, embedded (Kompas)
Mastery outcomes
Self-paced; completion-rate optimised; weak signal to employers.
In-person mastery measured against a published rubric; signal employers actually use.
Faculty model
Recorded once, replayed for years; rare live human feedback.
Resident AI faculty on campus full-time + weekly working practitioners.
University fit
Sits outside the degree; competes with the university for student attention.
Inside the degree, credit-bearing, co-signed by your academic council.
Refresh cadence
Curriculum updated when content team has time.
Six-month refresh contractually committed in every MSA.
What Kompas does differently
Nine principles. Each one a constraint we have committed to in writing.
- The university is our customer. The student is our purpose.
- On-campus, always. No exceptions.
- AI must mean different things to different disciplines.
- Mastery is non-negotiable, and it is measured.
- We borrow institutional authority. We do not fake it.
- We update the curriculum every six months because AI does.
- Hire for AI fluency and humility, in that order.
- Industry in the room. Every week.
- Mastery is measured one student at a time.
The three-year partner journey
Six steps. Six months from first conversation to first cohort.
Strategic conversation
With your VC, Pro-VC, and relevant Deans about which tracks, which degrees, and which student cohorts to start with.
Curriculum mapping
Against your existing program structures and NEP / NAAC / AICTE / NBA requirements. We share full curricula in advance.
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.
AI Studio + adaptive platform
GPU workstations, cloud credits, demo space, and the Kompas adaptive platform configured on your campus with a Dean's dashboard.
Cohort launch
In the next academic intake. Continuous co-evaluation with your academic council. Six-month curriculum-refresh cadence written in.
Hiring infrastructure
Students gain access to the standardized Skill Score and the Kompas AI Talent Cloud, used by our hiring-partner network.
Where to next
Read the page that actually answers your role’s question.
If you are
A Vice Chancellor or Pro-VC
The engagement model, governance, three-year roadmap, and commercial structure — written like a proposal cover note.
For VCs & DeansIf you are
A Dean of Engineering, Design, or Management
Track-by-track curriculum, capstone format, and the Skill Score your placement team will defend.
Browse the tracksIf you are
A hiring manager at an AI company
How the rubric is co-signed, what each band predicts, and how the Talent Cloud surfaces the right candidates.
For employers
Talk to us