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DISHA 4.0 — EdTech & Training Provider Ecosystem

Cohort 3 · Zero-CAC Pipeline · ZKP Mastery Signatures · Outcome Escrow

← Shell

Active Intent Streams

247

ZKP Skill Proofs Issued

14,872

Avg Candidate CTC Lift

+₹2.4L / +$2880

Total Escrow Capital Locked

42.8L

Module 1: Continuously monitors candidate profiles for skill bottlenecks and automatically matches them to targeted micro-modules at the exact point of intent — eliminating 100% of marketing acquisition costs.

Total CAC Saved

0

100% marketing cost eliminated

Candidates Routed

0

Zero-CAC direct ingestion

Revenue Savings

40–60%

vs. traditional acquisition

Zero-CAC Trigger Formula

ΔDAV = max(0, DAVrequired − DAVcurrent)

Routing triggered when ΔDAV > 0 — candidate matched to exact micro-module at point of intent

Live Skill Bottleneck Monitor

0x8F3a92b...c41

Senior Cloud DevOps Engineer

Bottleneck: Terraform Automation

+12 pts

ΔDAV gap

DAV Current: 88Required: 100

Matched Module: IaC Mastery: Terraform Pro

Provider: CloudAcademy · CAC Saved: 4,200

0x2D7f14e...b82

ML Platform Engineer

Bottleneck: Kubeflow Pipelines

+16 pts

ΔDAV gap

DAV Current: 74Required: 90

Matched Module: MLOps with Kubeflow

Provider: DeepLearning.AI · CAC Saved: 3,800

0xA1c39d7...f05

Data Engineering Lead

Bottleneck: Apache Iceberg

+9 pts

ΔDAV gap

DAV Current: 91Required: 100

Matched Module: Modern Data Lakehouse

Provider: DataCamp · CAC Saved: 5,100

0x5E8b21a...d93

FinTech Backend Engineer

Bottleneck: Kafka Streams

+18 pts

ΔDAV gap

DAV Current: 67Required: 85

Matched Module: Event-Driven Architecture

Provider: Confluent Learn · CAC Saved: 3,200

0x9C4f67b...e17

AI Product Manager

Bottleneck: Prompt Engineering

+10 pts

ΔDAV gap

DAV Current: 78Required: 88

Matched Module: GenAI for PMs

Provider: Maven · CAC Saved: 2,900