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Truecaller tells you who's calling. Equal AI wants to talk to them for you.
The Indian AI call screening app has crossed 1 million monthly active users on Android. It just raised $30 million to scale the conversation, not just the caller ID.
The Indian AI call screening app has crossed 1 million monthly active users on Android. It just raised $30 million to scale the conversation, not just the caller ID.
The phone rings, and the screen fills with a single sentence before the line connects: "Delivery driver asking where to leave the package." Below it, two chips the user can tap, "Leave it near the door" and "Give it to the neighbor." Tap one and the AI on the other end reads the line back to the driver, in the user's own voice. Ignore the screen and the call rolls to voicemail, with a transcript and an AI summary waiting in the app for later.
That is the daily routine Equal AI is selling to Indian smartphone owners, and 1 million of them have already let it answer for them. The company said it has crossed 1 million monthly active users and 300,000 daily active users since launching its Android app in 2025, a footprint it disclosed alongside a $30 million Series B round led by Prosus Ventures and Tomales Bay Capital, per TechCrunch.
The round also drew a notable roster of individual investors: PhonePe founder Sameer Nigam, Airtel Family Office's Zubin Bharti Mittal, Skyflow AI co-founder Anshu Sharma, Meta India and Southeast Asia VP Sandhya Devanathan, and CtrlS Datacenters Chairman Sridhar Pinnapureddy. The company has raised over $42 million to date.
The traction number matters because India's spam-and-scam problem has, until now, mostly been met with caller ID. The two reference points TechCrunch names are Truecaller, the caller ID app, and India's government-led Calling Name Presentation (CNAP) system. The two projects share the same premise, per TechCrunch: the question worth answering is, "Who is calling?"
Equal AI's bet is that the premise is wrong. Knowing the name of a delivery dispatcher, a bank recovery agent, or a fraudulent "customer care" line does not change the user's problem. The user still has to pick up, listen, decide, and reply, often in the middle of a meeting or a commute. Equal AI's app skips all of that. It picks up first, asks the caller what they want, transcribes the exchange, and surfaces a one-line reason the user can read in two seconds.
Quick-reply chips are the headline feature, and they are the reason the product feels less like a spam filter and more like an outsourced receptionist. The user picks, the AI speaks, and the caller hears a fluent response. The app also supports fully custom typed replies, records the call, and saves the transcript plus an AI summary the user can read later, according to TechCrunch's product walkthrough.
The growth curve is the part that turns the round from a funding footnote into a category signal. One million monthly active users and 300,000 daily active users in roughly a year, on Android only, is the kind of adoption Indian consumer apps have historically taken multiple funding rounds to clear. The traction number is also a company-reported figure, not an independent Sensor Tower or Data.ai measurement, and the round itself is described in a single TechCrunch report by Ivan Mehta, dated June 11, 2026.
The $30 million raise is real, but the round's structure is the part worth watching. Equal AI is using a three-tranche stepped design, a late-stage India funding pattern in which a startup sells equity at different prices within the same round based on whether it hits predetermined targets. The structure has an unusual quirk: it lets a startup advertise the highest valuation achieved, even if the bulk of the equity was sold at a lower one. Equal AI declined to disclose its specific valuations, per TechCrunch.
The founder context sharpens the picture. Equal AI was founded in 2022 by Keshav Reddy, who comes from the family behind Indian conglomerate GVK, which has holdings across infrastructure, energy, and healthcare. The company started as a data-sharing business for financial services and still offers data for financial analysis and know-your-customer services — a different product line from the call-screening app, but the same underlying bet on structured data exchange.
For the moment, the product story is doing the heavy lifting. CNAP is still rolling out across carriers. Truecaller remains the default name lookup. And a generation of Indian users has built the muscle memory of letting unknown numbers ring out. Equal AI is betting that muscle memory is the friction, and that the answer is a voice on the other end that already knows what to say.