Building Zenvest: Instant Insurance Payouts Using AI & Real-Time Triggers

Anshu Panwar — Sat, 28 Mar 2026 17:57:30 +0000

Building Zenvest: Parametric Insurance for India’s Gig Workers

Hackathons are intense. Ideas fly in every direction, the clock is merciless, and the pressure to ship something meaningful is real.

This time, one simple question changed everything:

What happens when a delivery partner can’t work because of things completely outside their control?

Rain. Toxic air. Platform outages.

That question became Zenvest - India’s first parametric insurance platform built specifically for gig workers.

Day 0: The Problem That Hit Us Hard

We started by looking closely at the lives of gig economy delivery partners.

Their income is 100% tied to daily rides and deliveries
No work = zero earnings
External disruptions (weather, AQI spikes, app downtime) destroy their day

Traditional insurance fails them completely:

Claims take days or weeks
Endless documentation and proof of loss
Payouts are uncertain and delayed

The entire system was broken. We decided it was time to rebuild it.

Day 1: Flipping the Insurance Model

Instead of the usual question insurance companies ask —

“Can the user prove their loss?”

— we asked a better one:

“Can we detect the loss automatically and pay instantly?”

This led us straight to parametric insurance.

If predefined triggers are met:

Rainfall exceeds a threshold
AQI crosses dangerous levels
Platform experiences confirmed downtime

→ Instant payout.

No claims. No paperwork. No waiting.

Day 2: Designing the Core User Flow

We kept the experience dead simple and powerful:

User signs up (Aadhaar + platform partner ID)
Background risk profiling runs instantly
AI recommends a personalized weekly plan
User subscribes via UPI
System continuously monitors real-world data
Trigger met → instant payout

The entire journey had to feel automatic, invisible, and trustworthy.

Day 3: Adding Intelligence with AI/ML

We refused to settle for static rules. The system had to be smart and adaptive.

Here’s what we built:

Risk Profiling — XGBoost model classifying users into dynamic risk tiers
Weather & Disruption Forecasting — LSTM-based prediction engine
Fraud Detection — Isolation Forest + custom anomaly detection
Plan Recommendation Engine — personalized weekly plans that evolve with user behavior

Every week the models retrain and improve. The system literally gets smarter over time.

Day 4: Why We Chose a Progressive Web App (PWA)

We made a very deliberate technical decision: no native app.

Our users typically run low-end Android devices, have limited storage, and need instant access. So we built a blazing-fast PWA:

Zero installation friction
Works offline where possible
Instant updates without Play Store delays
Can still be “installed” to the home screen

Sometimes the simplest technical choice is the most user-centric one.

Day 5: The Magic Moment - Instant Payouts

This is where everything clicks.

Real-world example:

Heavy rain hits a city. Rainfall crosses the threshold. The system pulls live data from IMD and CPCB APIs, verifies conditions, and triggers a UPI payout in seconds.

No forms.

No approvals.

No stress.

Just money in the partner’s account when they need it most.

Under the Hood: The Tech Stack

Frontend

React.js + Tailwind CSS
Full PWA implementation (service workers, offline support, install prompts)

Backend

Node.js (Fastify for performance) + Express where needed

Database & Infrastructure

MongoDB (flexible schemas)
Redis (caching + rate limiting + session management)
AWS (EC2, ECS, S3, CloudWatch)

Key Integrations

Aadhaar eKYC via UIDAI sandbox
Razorpay UPI for instant payouts
IMD Weather API + CPCB Air Quality API

Sentinel: Our Fraud Detection Layer

Automation is powerful -but only when it’s safe.

We built Sentinel, a dedicated fraud prevention engine that:

Detects GPS spoofing in real time
Flags unnatural activity patterns
Identifies duplicate or suspicious accounts
Routes clean claims for instant approval
Flags high-risk cases for human review

Trust without naivety.

📊 Real Impact Scenario

Picture a delivery partner earning ₹600–800 per day.

When heavy rain washes out the entire evening shift, Zenvest automatically detects the trigger and credits the payout within seconds.

No panic.

No lost income.

Just dignity and continuity.

Phase 1 Results & What’s Next

We’re proud to share that Zenvest scored 4/5 stars in Phase 1 of the hackathon.

The judges loved the real-world problem, the parametric approach, and the technical depth. But more importantly, the idea clearly resonated.

This was just the beginning.

🤝 We Want Your Feedback, Dev Community

We’re still early and actively iterating. If you’ve made it this far, we’d genuinely love your thoughts:

What would you improve in the architecture?
Better approaches for fraud detection at scale?
Ideas for expanding parametric triggers?
UI/UX suggestions for gig workers?

Drop your comments below. We’re building this in public and learning with every conversation.

Thanks for reading.

If this story or the problem resonates with you, let’s connect. Whether you’re a developer, designer, gig worker, or just someone who believes technology should solve real Indian problems — we’d love to hear from you.

Let’s build something that actually matters.

— The Zenvest Team

DEV Community: Anshu Panwar