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Blue Dot Experiment

India flag

India

Education

Moderate

Implementing Organisation

EkStep Foundation

India, Karnataka, Bengaluru

Philanthropic Organization

Implementing Point of Contact

Gaurav Gupta

Chief Growth Officer

Contributor of the Impact Story

Carnegie India

Year of implementation

2023

Problem statement

Local labour markets remain fragmented and opaque, with trained candidates and job opportunities largely undiscoverable to one another. Employers, especially MSMEs, face high search costs and delays in hiring, while job seekers lack trusted, local visibility. Existing job platforms are platform-centric and poorly suited to hyperlocal and informal employment contexts, creating a need for open, interoperable discovery mechanisms. The disconnect between trained graduates and nearby employers often results in prolonged hiring cycles and underutilised local skills, even where training capacity exists.

Impact story details

ONEST is an initiative of the EkStep Foundation, a philanthropic organisation focused on enabling population-scale impact through open digital infrastructure in education, skilling, and employment. ONEST aims to create an open, interoperable network for discovery and matching across training providers, employers, credentialing agencies, and government programmes, reducing reliance on closed, platform-centric job platforms. The initiative develops common protocols and shared registries that allow multiple actors to participate in local labour markets through common digital rails. Through pilots such as Blue Dot and collaborations with state skill missions, training institutions, and industry partners, ONEST is demonstrating how open networks can improve access to opportunities, reduce hiring friction, and support hyperlocal employment ecosystems. It is guided by principles of openness, portability, and public-interest governance.

AI Technology Used

Machine Learning
Natural Language Processing

Key Outcomes

Efficiency

Productivity, Economic Value Creation, Access

Reach, Resource Efficiency, Inclusion

Equity

Narrative Outcome

Local labour markets remain fragmented, with trained candidates and job opportunities largely invisible to one another, even as MSMEs face high search costs. The Blue Dot Experiment uses open, interoperable discovery mechanisms to connect skilling graduates with nearby employers. It has reached hundreds of MSMEs and over a thousand students, with a large number of conversions and hiring time dropping to just two days. Employer cost-to-hire fell to one-tenth of conventional approaches. The pilot demonstrates how hyperlocal, network-based matching can reduce friction and cost of hiring in labour markets.

Impact Metrics

Impact of a hyperlocal skilling and placement pilot on MSME hiring efficiency and student employment outcomes

Baseline Value

Conventional hiring processes with lower conversion rates, longer hiring timelines, higher costs, longer commutes, and greater outward migration Percentage, days, kilometres/transit stops, cost ratios, USD (aggregate potential), number of service categories

Post-Implementation

Across more than 350 MSMEs and over 1,100 students, lead-to-hire conversion exceeded 50%, hiring time fell to two days, commute distance reduced to two bus stops, employer cost-to-hire dropped to one-tenth, with increased local placements, skilling enrolment, reduced migration, and higher local economic activity Percentage, days, kilometres/transit stops, cost ratios, USD (aggregate potential), number of service categories

Internal Monitoring

Implementation Context

Pilot

Indian states such as Karnataka, Uttar Pradesh, Haryana, Assam, Maharashtra, and Jharkhand

Learners, job seekers, training providers, employers, youth and working-age populations seeking skilling and upskilling opportunities

Key Partnerships

EkStep Foundation, Karnataka Skill Development Corporation, Head Held High Foundation, Deshpande Skilling, UNNATI Foundation, and Gigin.ai

Replicability & Adaptation

Moderate

Core network principles are transferable, but employment and skilling contexts require local institutional onboarding and regulatory alignment.

* The data presented is self-reported by the respective organisations. Readers should consult the original sources for further details.