Developed by Tranz1 Talenciaglobal Private Limited.
Among India's lowest (PLFS 2025)
Of total Karnataka workforce
vs. the headline rate
(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.
(WEF)
Educated but not job-ready
Women & discouraged youth outside the labour force
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.
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.
NOT a greenfield monolith
Ecosystem of apps, on existing rails
Reached independently by 4 frontier-AI studies
"One platform. Three faces. On shared public rails."
India's first employment-DPI pilot; voice AI connects ITI grads → local MSMEs
Aadhaar · DigiLocker/NAD · e-Shram (30.98 cr) · NCS (6.02 cr) · Gig Act 2025
Free women's travel → +23% women's employment (Bengaluru)
Build the missing layer — don't rebuild what already exists.
Citizen app (voice/offline/Kannada), Employer & Govt consoles, assisted mode
Assessment, matching, labour-market intelligence, early-warning
Talent-DNA graph + Skills Passport
Federated, once-only (X-Road pattern) over existing registries
Consent, bias-audit, DPDP, open dashboards
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)
A radar/spider chart shows a person's 4-dimension profile overlaid on a role's required profile — the "match gap" visualized.
Can this person become right for the role? (potential)
Is this person right for the role now? (readiness)
Place now / place-after-bridge / long-pathway
A "learn-once" model is obsolete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).
For training orgs · trainers · assessment bodies · program managers
KPIs: verified placement, competency-gain, wage uplift, cost-per-placement
Pay per verified placement, not per enrolment
Low scores auto-generate partner-enablement plans — raise the floor, don't just cut
Have used the internet
Kerala's Kudumbashree network registered
Preconditions, not features: voice-first Kannada · offline · SHG-assisted access
JobSphere government career copilot (peer-reviewed)
Human-in-the-loop always (WEF/BCG)
Voice-to-voice in Kannada / Hindi / English (+ Bhashini, 22 languages)
Unified loop + Jobs-Skills Integrators + skills passport
X-Road federated integration
ESCO taxonomy + credential wallet
Industry-owned curricula
SHG inclusion model
8 of the world's 10 best innovations already in this blueprint. Karnataka: the synthesis.
National allocation 2022–26
2025–32
Live PM-SETU facility
Skilling = #1 sector; Karnataka top-6
Mission/SPV, DPDP charter, skills graph begins
MVP — closed loop, Skills Passport, voice copilot, 3–5 districts; scale Blue Dot
Statewide, employer console, JSIs, provider scorecards
Full agentic AI, outcome-based funding, green/care/gig tracks
Lifelong companion for every citizen
Of 1.74 lakh beneficiaries — baseline today
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
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.
Chief Executive Officer
☎ +91 98450 64853
"Great talent. Global opportunities."
Developed by Tranz1 Talenciaglobal Private Limited.
A Unified AI Platform for Skilling, Employment & Livelihoods — 2026–2045