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InstaLILY AI
United States
- New York, NY
- 28/08/2025
- Series A
- $25,000,000
Humans + InstaLILY = Superhumans.
That is our mission at InstaLILY AI: to pair every person with an AI teammate who makes work faster, smarter, and more human. Our InstaWorkers™ are not bots or dashboards. They are better software — blending AI and code to create Code-as-Work, the ability to turn business workflows into bits and bytes that run themselves.
InstaWorkers™ are already deployed at some of the world’s most demanding companies. They log into Salesforce, SAP, and ERPs to handle quoting, follow-ups, claims, and backlogs across the complex distribution economy — from physical goods to insurance policies to industrial parts. With Instalily, work is not just automated, it is codified. That means fewer delays, fewer errors, and more time for people to do what only humans can: sell, solve, and lead.
We are an elite team of dreamers and doers based in New York City, united by one belief: when work becomes code, humans become superhuman.
- Industry Software Development
- Website https://instalily.ai/
- LinkedIn https://www.linkedin.com/company/instalily/
Related People
Amit ShahFounder
United States -
New York, New York
Amit is the Founder and CEO of InstaLILY AI, the first platform for hiring vertical AI Teammates, called InstaWorkers™. Working on top of your existing systems, like a human teammate, they handle critical sales, service, and operations work. Purpose-built for distribution and regulated industries, InstaWorkers™ help human teams achieve superhuman outcomes at scale: increased revenue, reduced costs, and improved service.
Amit began his career at McKinsey & Company and brings more than two decades of experience building and scaling technology-driven businesses. He is also the Co-Founder of AI Trailblazers, a community of operators, investors, and researchers shaping the future of AI through insight, education, and collaboration.
Beyond his work at InstaLILY, Amit serves on several public and non-profit boards as a Director. His perspectives on AI and enterprise execution have been featured in The Wall Street Journal, The New York Times, Forbes, and MIT Sloan Management Review, where he contributes as a panelist on the Responsible AI series.
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