Every consumer brand and lender knows the quiet, exhausting reality of high-volume customer operations. Whether you are running loan collections, outbound sales, or multilingual customer support, the traditional scaling playbook is broken. Companies are forced to hire massive armies of callers, navigate brutal attrition, and wrestle with language barriers across every new city. Most of a team’s bandwidth is wasted on repetitive, unanswered, or unqualified calls — cratered by daily rejection that destroys agent morale. Meanwhile, the alternative has always been robotic, impersonal IVR systems that erode customer trust. We have built an ecosystem where scaling customer experience linearly requires adding massive operational overhead.
It takes builders with deep operational empathy and the technical rigor to fundamentally rethink how enterprises converse at scale to solve this at the root. That is exactly what Avaneesh Rajkumar, Karthikeyan Marudhachalam and Arun Prasanth Tamilarasan are doing with 8loop.
Founded in 2025, Avaneesh and the 8loop team are building deeply intelligent, omnichannel AI agents purpose-built for the massive, multilingual complexity of customer experience across India.
The engineering under the hood is beautiful in its pragmatism. 8loop deploys autonomous AI employees that work across voice, WhatsApp, email, and chat, integrating directly into an enterprise’s existing cloud telephony and CRM systems with zero rip-and-replace. In outbound sales and lending collections, 8loop acts as the first line of conversation — seamlessly conversing in vernacular languages like Hindi, Tamil, Telugu, and Marathi. It handles the early, repetitive dialogue, qualifies intent, and crucially performs instant, context-rich warm handoffs to human agents the moment a high-intent prospect or complex situation is identified.
The true moat here is uncompromising operational efficiency paired with human enablement. 8loop doesn’t just automate calls; it shifts human effort entirely from sheer volume to high-value closing. By automating the hardest, lowest-converting buckets of outreach, the platform reduces customer acquisition and recovery costs by up to 70% while boosting appointment throughput and protecting human caller morale. It replaces the chaos of linear headcount expansion with self-improving, agentic workflows that adapt as your business changes.
The market? High-volume consumer brands, NBFCs, banks, and fast-growing BFSI teams across India who desperately need to scale customer acquisition, support, and collections without linearly increasing their headcount or compromising on customer trust.
Seeing homegrown founders head-down, quietly architecting the voice and agentic infrastructure that modernizes how enterprises communicate across a diverse, multilingual economy, is profoundly inspiring. They are giving teams their momentum and their morale back.
Let’s celebrate the builders.
w/ Jay Ingle
#VoiceAI #EnterpriseAI #ProductNation
