About EarnlyAI

Focused AI products for the work behind commerce.

Founded by Amit Kayal, EarnlyAI builds Upshot, Subnexa, NudgeX, and ClearLedger around jobs Shopify merchants already manage every day—helping shoppers buy, keeping subscriptions dependable, improving product-page decisions, and making financial records easier to trust.

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Who we are

Commerce software should understand the work.

EarnlyAI is a founder-led product company focused on practical AI for Shopify commerce. The company began with a simple observation: merchants do not need another generic assistant. They need focused products that understand the catalog, the customer journey, and the operational rules behind every action.

Our mission is to reduce the distance between a merchant’s intent and a dependable outcome. That means helping a shopper choose with confidence, making recurring commerce easier to operate, and giving finance teams a clearer trail through Shopify data.

Leadership

The people behind EarnlyAI.

Enterprise experience, a builder’s mindset, and production-grade AI quality brought together around dependable commerce outcomes.

Amit Kayal, founder of EarnlyAI
Founder

Amit Kayal

Amit has spent more than two decades building enterprise applications across manufacturing, telecom OSS/BSS, and retail commerce—close enough to the work to understand where operational exceptions live and why another dashboard rarely fixes them.

He now builds AI-first, cloud-native enterprise platforms and turns complex systems into products people can understand and trust. At EarnlyAI, he leads product direction across guided shopping, subscriptions, and reconciliation, keeping every product close to a real merchant workflow and a measurable outcome.

  • 20+ years in enterprise AI
  • Tier 1 and Tier 2 production deployments
  • AWS-native systems
Connect with Amit on LinkedIn
Aditeya Kayal, co-founder of EarnlyAI
Co-founder

Aditeya Kayal

Aditeya is co-founding EarnlyAI while pursuing Electronics and Instrumentation at BITS Pilani. The campus’s builder-first culture is his training ground for tackling the disconnected context inside retail and commerce systems.

His interests in AI agents, robotics, hyperautomation, and cloud computing come together in hands-on work with Python and data science, helping turn context-engineering research into practical product experiences.

  • BITS Pilani
  • Agentic AI and cloud deployment
  • Python and data science
Connect with Aditeya on LinkedIn
Avishek Das, advisor and mentor to EarnlyAI
Advisor & mentor

Avishek Das

Avishek is an AI Quality Architect working across agentic AI, LLM and RAG evaluation, AI reliability, and LLM observability on AWS.

He advises on guardrails, hallucination detection, prompt regression, and outcome-focused roadmap decisions—pressure-testing what we build against whether it holds up in production, not just against a feature list.

  • AI Quality Architect
  • 13+ years in QA and AI evaluation
  • LLM and RAG reliability on AWS
Connect with Avishek on LinkedIn
What merchants should get

More revenue. Less operational drag.
Decisions you can trust.

Curated products ready for a confident purchase
Convert with confidence

Move more shoppers from question to checkout.

Guide product discovery with live catalog context, then keep momentum through cart and checkout.

A carefully prepared ecommerce order ready for fulfilment
Operate dependably

Resolve routine customer work faster.

Use verified order, customer, and subscription context to automate repeatable work and hand off exceptions clearly.

An organised merchant workspace for reviewing commerce results
Improve with evidence

Turn commerce signals into better decisions.

Trace recurring questions, drop-offs, and reporting differences so teams know what to improve next.

The EarnlyAI product system

Convert. Retain. Optimize. Reconcile.

Four focused products for shopper guidance, subscriptions, product-page improvement, and a more dependable financial close.

A curated product bundle ready for a shopper
Convert

Upshot

Turn shopper questions into confident purchases.

Guide discovery, compare live options, and keep momentum through cart and Shopify checkout. Published on the Shopify App Store.

Explore Upshot
A sequence of recurring product deliveries
Retain

Subnexa

Grow recurring revenue without fragile operations.

Launch and operate subscription programs with merchant-confirmed AI proposals, customer self-service, and dependable renewal workflows. Now in Beta: Agentic Hardening.

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From uncertainty to informed action
Optimize

NudgeX

Turn product-page uncertainty into an informed action.

Surface evidence-led opportunities, review a bounded proposed change, and measure what happened next. Now in Beta.

Explore NudgeX
A tidy commerce finance review workspace
Reconcile

ClearLedger

Close faster with every variance explained.

Trace differences between Shopify reports, orders, and payouts before finance teams export or close. Now in Beta.

Explore ClearLedger
Founder-ledAmit Kayal
Primary ecosystemShopify commerce
Product focusMerchant and shopper workflows
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Have a commerce workflow that should work better?

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