Karnataka AI Workforce & Employability Mission

A Unified AI Platform for Skilling, Employment & Livelihoods — 2026–2045

Talencia Global × Government of Karnataka

"Great talent. Global opportunities."

The Definitive Strategic Blueprint — Consolidated Edition

Developed by Tranz1 Talenciaglobal Private Limited.

Karnataka is prosperous on paper — and stuck underneath

2.8%

Unemployment Rate

Among India's lowest (PLFS 2025)

~85%

Informal Workforce

Of total Karnataka workforce

~10×

Youth Unemployment

vs. the headline rate

54.8%

Graduates Employable

(India Skills Report 2025)

11% of India's formal jobs · 8.9% of national GDP · GSDP ₹30.70 lakh cr. Yet the headline hides a workforce in difficulty.

Not a jobs-quantity crisis — a quality-and-matching crisis

39%

Core Skills Disrupted by 2030

(WEF)

Youth Employability

Educated but not job-ready

Under-Activation

Women & discouraged youth outside the labour force

Underemployment / Informality

Half of graduates work below their qualification

Root cause: a coordination & information-market failure — supply and demand can't see each other. A coordination failure the market won't fix for the poor majority.

Employment access + Lifelong skilling = one continuous loop

Splitting them is exactly what causes failure.

The closed loop: ASSESS → GAP → LEARN → CERTIFY → MATCH → HIRE → GROW → RE-SKILL — wrapped by a lifelong AI Career Companion.

Karnataka's own programs prove the point

Build ONE unified platform — as public digital infrastructure

NOT two separate platforms

NOT a greenfield monolith

State-owned DPI layer

Ecosystem of apps, on existing rails

Confidence: HIGH

Reached independently by 4 frontier-AI studies

"One platform. Three faces. On shared public rails."

Citizen Companion

Employer Engine

Government Intelligence

We're not starting from zero

Blue Dot (Dharwad)

India's first employment-DPI pilot; voice AI connects ITI grads → local MSMEs

Existing Rails Converging

Aadhaar · DigiLocker/NAD · e-Shram (30.98 cr) · NCS (6.02 cr) · Gig Act 2025

Shakti Scheme

Free women's travel → +23% women's employment (Bengaluru)

Build the missing layer — don't rebuild what already exists.

A thin intelligence-and-integration layer on public rails

1. Experience

Citizen app (voice/offline/Kannada), Employer & Govt consoles, assisted mode

2. Intelligence

Assessment, matching, labour-market intelligence, early-warning

3. Semantic & Credential Core

Talent-DNA graph + Skills Passport

4. Integration

Federated, once-only (X-Road pattern) over existing registries

5. Governance

Consent, bias-audit, DPDP, open dashboards

From qualitative job descriptions → quantitative competency vectors

The Talent-DNA Engine

Every role & person scored across 4 dimensions: Technical · Functional · Professional · Behavioural — each at a proficiency level

The Industrial Competencies Graph = the next-generation JD (matchable, comparable, trackable)

Grounded in Real Science

  • O*NET
  • SFIA (7 levels)
  • ESCO
  • Singapore Skills Taxonomy

A radar/spider chart shows a person's 4-dimension profile overlaid on a role's required profile — the "match gap" visualized.

Find latent talent, not just the already-qualified

1

Phase 1 — Aptitude

Can this person become right for the role? (potential)

2

Phase 2 — Skill

Is this person right for the role now? (readiness)

3

Combined Match

Place now / place-after-bridge / long-pathway

Turning software into a delivery mission

Planned upskilling, not reactive scrambling

39%

Skill Churn per 5 Years

A "learn-once" model is obsolete

Re-assess Talent-DNA on a 2-year & 3-year cadence. Each cycle prescribes the exact competency delta to the next role. Funded via individual learning accounts (Singapore model).

Measure everyone who delivers — and fund by outcomes

Real-Time AI Scorecards

For training orgs · trainers · assessment bodies · program managers

KPIs: verified placement, competency-gain, wage uplift, cost-per-placement

Input-based → Outcome-based Funding

Pay per verified placement, not per enrolment

Low scores auto-generate partner-enablement plans — raise the floor, don't just cut

Reach the majority the market ignores — or fail

~84%

Men Own a Phone

~56%

Women Own a Phone

~24.6%

Rural Women Online

Have used the internet

14 lakh

SHG Jobseekers

Kerala's Kudumbashree network registered

Preconditions, not features: voice-first Kannada · offline · SHG-assisted access

Agentic AI + voice, across the whole journey

Career Copilot

Learning Copilot

Employer Copilot

Government Copilot

94%

Factual Accuracy

JobSphere government career copilot (peer-reviewed)

~70%

AI Value = People/Process

Human-in-the-loop always (WEF/BCG)

Voice-to-voice in Kannada / Hindi / English (+ Bhashini, 22 languages)

Assemble the world's best into one — a genuine first

Singapore

Unified loop + Jobs-Skills Integrators + skills passport

Estonia

X-Road federated integration

EU

ESCO taxonomy + credential wallet

Germany

Industry-owned curricula

Kerala

SHG inclusion model

8 of the world's 10 best innovations already in this blueprint. Karnataka: the synthesis.

Fundable through existing capital — no new money needed

₹8,800cr

Skill India Programme

National allocation 2022–26

₹4,432cr

Karnataka Skill Policy

2025–32

US$846M

ADB Results-Based Finance

Live PM-SETU facility

₹34,908cr

India's CSR Pool / Year

Skilling = #1 sector; Karnataka top-6

Start with the Yuva Nidhi + Blue Dot beachhead

1

Phase 0 (0–6m)

Mission/SPV, DPDP charter, skills graph begins

2

Phase 1 (6–18m)

MVP — closed loop, Skills Passport, voice copilot, 3–5 districts; scale Blue Dot

3

Phase 2 (18–36m)

Statewide, employer console, JSIs, provider scorecards

4

Phase 3 (3–5y)

Full agentic AI, outcome-based funding, green/care/gig tracks

5

Phase 4 (→2045)

Lifelong companion for every citizen

One north-star: verified placement — not registrations

~40k

Yuva Nidhi Skilled

Of 1.74 lakh beneficiaries — baseline today

Outcome

Activation

Inclusion

Competency-Gain

Loop-Health

Provider-Quality

Baselines today → targets per phase. Open, anonymised public dashboards for transparency.

Feasibility: HIGH on technical/legal/policy/economic; adoption is the one risk to manage

Karnataka can build the world's first fully-unified AI workforce platform

One platform · powered by Talent-DNA · delivered through outcome-guaranteed programs · financed by existing capital · inclusive by design

The opportunity: be first to assemble all ten global best practices — on India's DPI rails.


Contact

Subramanian S

Chief Executive Officer

+91 98450 64853

"Great talent. Global opportunities."

Developed by Tranz1 Talenciaglobal Private Limited.