Observed Signal · Jun 12, 2026 · Funding · Source: techcrunch · Impact: 2/5 · Sentiment: Neutral
Equal AI Raises $30M for Call-Screening Assistant
Equal AI, an India-based startup building an AI call assistant that answers and screens calls for users, has raised $30 million in a Series B round led by Prosus Ventures and Tomales Bay Capital, with participation from Think Investments and Valiant Fund and several individual investors. Launched on Android last year, the app reports over one million monthly active users and 300,000 daily active users. The funding round is structured in three tranches tied to performance targets, and brings Equal AI’s total funding to more than $42 million. The company, founded in 2022 by Keshav Reddy, uses speech recognition, ASR and speech generation models with an orchestration layer and supports over 10 languages to handle India’s code-mixed speech. Equal AI plans iOS support, a paid tier, and expanded features to act proactively on users’ behalf. Competitors include Google, Apple, Truecaller and other call‑screening startups.
Series B funding signals investor interest in local-language, voice-based AI assistants that could reshape voice outreach and user interaction patterns in India; the product and its language support are relevant to communication and privacy dynamics but are not industry-shifting for global AdTech on their own.
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Key Takeaways & Evidence Grounding
- Equal AI raised $30 million in a Series B round led by Prosus Ventures and Tomales Bay Capital.
- The round included participation from Think Investments, Valiant Fund and individual investors such as Sameer Nigam and Sandhya Devanathan.
- Since launching on Android last year, Equal AI reports over 1 million monthly active users and more than 300,000 daily active users.
- The Series B is structured in three tranches with different valuations tied to predetermined targets; Equal AI has raised over $42 million to date.
- Equal AI’s product uses speech recognition, automatic speech recognition (ASR), and speech generation with an orchestration layer, supporting over 10 languages and handling code-mixed speech.
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