about

Conversations that hear how it was said.

halloo AI is one AI employee that talks to your customers on the phone, on WhatsApp, and on your site — the same conversation, wherever it continues.

The problem we're solving

Businesses are drowning in calls they can't answer, and the people who answer them are the hardest hire to justify. A telecaller in India costs about ₹2.8 lakhs a year — call-centre salaries jumped 18% in 2026 alone — and the person you hire speaks two languages while your customers speak a dozen. The volume keeps growing. The supply doesn't.

What we built

A speech-to-speech employee: the audio reaches the model, so pace, hesitation and register are part of what it is answering rather than thrown away at a transcript. 118 languages and 30 voices, each one spoken in the accent it belongs to — never a retrofitted American one. It moves between voice, WhatsApp and chat as one conversation: books calendar events, sends meeting links and brochures, and picks up right where it left off — like an employee who actually paid attention.

Sub-200ms response latency, so the conversation feels human. Every call has a recording, a transcript, a structured summary, and a tool-by-tool audit log — triage any call in 60 seconds. Data residency is a choice, not an assumption: today we host in India, and we say so on our security page rather than in a slogan.

Pre-launch. Already paying clients.

We're early, and the validation is across verticals that matter. Two paying clients on launch: ICAR (Indian Council of Agricultural Research, Ministry of Agriculture, GoI) and DocHome India (at-home healthcare platform). In active conversations with Shiv Nadar University and several Indian startups across edtech and healthcare. Backed by Masters' Union.

The founder

Karan Khanna is a builder at heart. Six years across enterprise automation, with stints as a Senior RPA Developer at Tech Mahindra (delivering automation for Graphic Packaging International, USA) and an RPA Developer at IBM, embedded with Unilever in Bengaluru where he shipped 10 end-to-end production bots.

Before halloo AI, Karan spent four months at Clara AI working deep in the Voice AI stack — the experience that made the gap obvious: a voice agent should be built for the language and the accent it is actually speaking, not retrofitted from one model of one market.

Currently a PGP candidate in Technology and Business Management at Masters' Union, with a Computer Science degree from KIIT Bhubaneswar.

Now building halloo AI.

Get in touch → · Karan on LinkedIn →

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