In an exclusive interview with Indian Startup Times, Rishabh Kumar, co-founder of Angoor AI, explained why he and his team are building an agentic AI platform designed to unify customer communication across multiple channels instead of adding yet another standalone automation tool. His conviction was straightforward: B2C businesses in India and beyond are drowning in fragmented communication stacks WhatsApp automation here, email marketing there, chatbots elsewhere without the unified CRM and communication infrastructure that B2B companies often take for granted.

From IIT Bombay product design to a unified AI platform

Rishabh began freelancing as a product designer in 2016–17, during his 10th and 11th-grade years, before pursuing in-depth studies at IIT Bombay to understand high-quality design and product development. His time at IIT Bombay allowed him to collaborate with top engineers and meet his future co-founders. That combination of product thinking and deep technical collaboration became the foundation for Angoor AI. For him, a great product is essential, but the approach to selling it is equally critical for market leadership. That mindset shaped Angoor AI from the start: build something powerful enough to handle complex, industry-specific workflows, then earn trust through reliability and transparency rather than hype.

The gap: B2C communication at scale, without B2B-grade infrastructure

The founders identified a clear need for automation in marketing and customer communication specifically for B2C businesses. They observed that B2C companies often lack the unified CRM and communication infrastructure available to B2B firms, even though they face massive scale handling hundreds of thousands to millions of customer touchpoints across WhatsApp, email, SMS, web chat and more. “The goal was to build a platform that unifies various communication channels into a consistent customer experience,” Kumar told Indian Startup Times. Instead of offering isolated tools for each channel, Angoor AI aims to become the communication infrastructure layer that ties everything together.

Why “Angoor AI”: the “bunch of grapes” philosophy?

The name Angoor AI is derived from the concept of a bunch of grapes. Individual grapes have value, but the real power lies in the bunch. Similarly, individual AI tools for different channels are less effective than a unified “bunch” of services working together. For Rishabh, the name captures the company’s mission: solve fragmentation by building a comprehensive communication infrastructure from the ground up, where all channels work together rather than as disconnected silos.

Product philosophy: “power first, ease later”

Rishabh follows a “power first, ease later” philosophy, prioritising versatility over immediate simplicity. The platform is designed to be extremely powerful so that users can solve complex, varying use cases across sales, marketing and support. The team believes that mutual intelligence between the user and the platform results in better problem-solving capabilities. While Angoor AI aims for reliability and ease of use, these are secondary to ensuring the tool is highly capable. The objective is to give businesses a system that can be configured deeply, not a “baby-proofed” interface that breaks under real-world complexity.

Agentic harness, human-in-the-loop and audit trails

A core part of Angoor AI’s technical implementation is its “agentic harness”, which provides specific instructions for AI models to operate within the context of a customer’s organisation. Instead of treating models as generic chat engines, the harness constrains them to the company’s data, policies and workflows. To build trust, especially with larger enterprises, Angoor AI implements human-in-the-loop pipelines where AI agents and humans can work collaboratively. The platform provides audit trails so humans can clearly see all actions taken by AI agents and intervene when necessary. This transparency is critical for businesses that cannot afford unexplained or uncontrolled AI behaviour in customer-facing workflows.

Market strategy: India as the test bed, then US and Europe

Currently, Angoor AI focuses primarily on the Indian market to test and iron out product reliability. Kumar views India as a vital test bed before expanding into more mature markets like the US and Europe. Indian B2C businesses operate at enormous scale, with complex, multi-channel communication needs and limited legacy CRM baggage in many cases. That makes India an ideal environment to stress-test the platform. Once the product is proven in India, the plan is to expand into export corridors and mature markets where unified communication infrastructure is already a recognised need but still fragmented in practice.

Bootstrapped beginnings, peer-backed funding and a hiring-first approach

Angoor AI was initially bootstrapped by the three co-founders, all of whom come from technical backgrounds. Early investment was used primarily for human capital and infrastructure rather than aggressive marketing. The company has since raised funds from a circle of peers who believe in its long-term vision. A major priority remains hiring talented technical builders to support the grand vision. Resources are currently focused on bringing in high-level engineering talent and maintaining robust infrastructure.

Future vision: depth, configurability and minimal human intervention

Angoor AI differentiates itself by focusing on depth and configurability rather than generalized customer support models. The team is investing heavily in the agentic harness so that models can operate within specific organisational contexts, ingest business data and manage workflows with minimal human intervention. The long-term goal is a platform where customers can resolve queries across any channel automatically through Angoor AI, while businesses retain full visibility and control. Success, for Kumar, means creating a system where communication across sales, marketing and support becomes a unified, intelligent layer rather than a patchwork of tools that never quite talk to each other.

Why Angoor AI matters for B2C businesses?

For Indian B2C companies, customer communication is often the difference between retention and churn. Yet most stacks are fragmented, difficult to audit and hard to scale. Angoor AI’s approach of agentic AI, human-in-the-loop workflows, auditability and deep configurability aims to turn communication from a cost centre into a strategic capability. In speaking to Indian Startup Times, Rishabh Kumar made clear that Angoor AI is not trying to be another chatbot vendor. It is trying to become the unified communication infrastructure that B2C businesses can trust at scale starting in India, then expanding to global markets where the “bunch of grapes” approach is even more valuable.

Interview By: Sejal Thakur