About Inve

Why Inve exists

inve.money is AI stock research for investors in India and the US. It is built so you can know a stock inside out: find ideas, research them, and buy, hold or sell on evidence, not tips. Each company's results, earnings calls, management's track record on its own guidance, ownership changes and valuation sit in one place, in plain language.

Our Story

inve.money was founded by Aravind, a software engineer and long-time Indian market investor who was frustrated with the gap between how professionals analyze portfolios and what retail tools actually offer. After years of manually tracking concentration, reading earnings call transcripts, and running stress tests in spreadsheets, he set out to build the tool he wished existed.

Today inve.money reads every earnings call it covers in India and the US, checks what management promised against what it went on to deliver, and sets each company beside its sector. Connect a broker and the same research covers your own holdings, so a decision rests on the full picture rather than a price chart.

The Team

We're a small, product-focused team based in Bengaluru, working closely with active retail investors to build features that make a real difference. If you'd like to join us, reach out through our contact page.

Company Details

• Legal name: InveWise Technologies LLP
• Registered office: Flat B 307, B Block, Adithya Frondoso Apt, Vartur, Bangalore South, Bangalore - 560087, Karnataka, India

Get in Touch

Questions, feedback, or partnership ideas? We'd love to hear from you. Visit our contact page or email hello@inve.money.

What that looks like

The work is on the site rather than in this description. In India: concall summaries and the results calendar, what management promised and what happened to it, a page for every company we cover, how each sector grew last quarter and the quarter's ownership moves. In the US: the earnings calendar and what each call said and US company pages. And how to read any of it.

Where each of these comes from, which parts an AI model writes and what they leave out is set out in how the research is made. Institutions, family offices and HNIs get the same corpus as a desk: institutional research on Inve.