Equal AI feat

Equal AI Lands $30M to Take the Hassle Out of Spam Calls in India

Equal AI Raises $30 Million to Build an AI Call Assistant for India’s Spam-Filled Phone Lines

India’s smartphone users deal with a constant stream of phone calls every day. Some are useful, such as calls from delivery agents, banks, recruiters, insurance providers, and service companies. Many others are spam, scams, or unwanted sales pitches. Caller ID apps and government-backed caller name systems can help identify who is calling, but they do not always answer the bigger question: why is this person calling?

Equal AI wants to solve that problem with an artificial intelligence call assistant that answers calls for users, speaks to the caller, collects the reason for the call, and then shows the user a clear summary.

The company’s Android app has already gained strong traction in India. Since launching last year, Equal AI says it has crossed more than 1 million monthly active users and over 300,000 daily active users. The app is designed to screen unknown calls and show users the purpose of the call before they decide whether to respond.

How Equal AI’s call screening assistant works

Equal AI acts like a personal phone assistant. When an unknown caller reaches out, the app can answer on the user’s behalf and ask why they are calling. It then displays the reason on the user’s screen, helping them decide whether the call is important, safe, or worth ignoring.

The app also offers quick reply options for common situations. For example, if a delivery agent is calling, users may see responses such as “Leave the delivery near the door” or “Give it to the neighbor.” The AI assistant reads the selected message aloud to the caller.

Users can also type a custom response, and the AI will speak it during the call. Afterward, the app stores the call recording, transcription, and a short summary, allowing users to review what happened without needing to answer the call themselves.

This approach is especially useful in India, where people often receive repeated calls after searching for services such as loans, insurance, jobs, real estate, or vehicle purchases. A single online inquiry can sometimes lead to dozens of follow-up calls, creating a frustrating experience for users.

Equal AI secures $30 million in Series B funding

Equal AI has raised $30 million in Series B funding. The round was led by Prosus Ventures and Tomales Bay Capital, with participation from Think Investments and Valiant Fund.

Several notable individual investors also joined the round, including PhonePe founder Sameer Nigam, Zubin Bharti Mittal from Airtel Family Office, Skyflow AI co-founder Anshu Sharma, Meta India and Southeast Asia vice president Sandhya Devanathan, and CtrlS Datacenters chairman Sridhar Pinnapureddy.

With this latest investment, Equal AI has raised more than $42 million in total funding so far.

The funding round is structured in three stages, with the startup’s valuation changing at each stage depending on whether it reaches agreed performance targets. This type of structure allows a company to raise capital at different prices within the same round. Equal AI has not disclosed its specific valuations.

From financial data services to consumer AI

Equal AI was founded in 2022 by Keshav Reddy. The company originally started as a data-sharing platform focused on financial services. It still provides tools for financial analysis and know your customer verification services for employers.

However, the company’s broader ambition has always been to become a consumer-facing technology business. Its AI call assistant became the first major use case because phone calls remain one of the biggest pain points for Indian consumers.

According to the company, users often receive large numbers of calls from financial services firms, recruiters, sales teams, and service providers. For example, someone shopping for car insurance may receive many calls in a short period. Equal AI aims to reduce that burden by letting artificial intelligence handle the first layer of conversation.

More features are on the way

At the moment, Equal AI primarily screens unknown calls. The company plans to expand the feature so users can also screen calls from saved contacts.

It is also working on more proactive AI assistant features. In the future, the app may be able to take action on behalf of users, such as sending an address to a delivery agent with permission or making outbound calls to schedule appointments.

Equal AI is also developing an iOS version of the app, which could help it reach a wider audience beyond Android users. In addition, the company plans to introduce a paid subscription tier with advanced features.

Built for India’s languages and calling habits

One of Equal AI’s biggest challenges is India’s linguistic diversity. Many users do not speak only English or only one regional language. Instead, they often mix multiple languages in the same sentence, a pattern commonly known as code-mixing.

To address this, Equal AI uses a combination of speech recognition, automatic speech recognition, speech generation models, and its own orchestration layer. The company says it supports more than 10 languages, making the assistant more practical for real-world conversations across India.

This local language support could be an important advantage. A call assistant that works well only in English may struggle in India, where conversations often shift naturally between Hindi, English, Tamil, Telugu, Bengali, Marathi, Kannada, Malayalam, and other languages.

A competitive market for AI call assistants

Equal AI is entering a space that is becoming increasingly competitive. Major technology companies already offer call screening tools, and caller ID platforms have also started adding AI-powered assistant features.

Still, Equal AI believes its focus on India gives it an edge. The company is building specifically for local calling behavior, regional languages, delivery interactions, financial service calls, and the daily communication patterns of Indian users.

Investors appear to be betting that a call assistant built for local needs can create strong user loyalty. If the app becomes useful in common scenarios such as delivery coordination, spam filtering, job calls, financial service inquiries, and appointment scheduling, it could become a daily utility for millions of smartphone users.

Why Equal AI is building its own app

Many AI assistant startups rely heavily on messaging platforms to reach users, but Equal AI has chosen a different route. The company is building around phone calls and its own app experience rather than depending on third-party messaging services.

This strategy may help reduce platform risk and give Equal AI more control over its product, user experience, and future features. Since phone calls remain deeply embedded in India’s consumer and business communication habits, the company sees voice as a strong foundation for an AI assistant.

Equal AI’s growing user base and fresh funding suggest that AI-powered call screening could become a major category in India’s consumer tech market. For users tired of answering unknown numbers, dealing with spam, or repeating the same instructions to callers, an AI assistant that picks up the phone and explains what matters may be a welcome upgrade.