Kim.cc, an AI-native customer support company serving over 200 e-commerce brands, has closed an institutional funding round led by Stellaris Venture Partners. The undisclosed investment will accelerate a U.S. expansion and further development of its blended AI-human support model, a direct challenge to the limitations of fully automated chatbots and traditional BPO operations.
The company, which already counts more than 200 Shopify merchants among its clients - including TRIP Drinks, Kahawa 1893, Transformer Table, and Nimi - plans to triple its workforce to over 100 employees by 2028 while targeting $100 million in annual revenue the same year.
How the hybrid model works
Rather than force a choice between automation and outsourced staff, Kim.cc pairs AI agents with human-in-the-loop oversight. The system combines workflow memory, quality checks, and dedicated human reviewers to handle complex, brand-sensitive support tickets. This architecture aims to deliver faster responses and higher quality without losing the accountability that a pure software approach often lacks.
The model reflects a growing recognition that large language models, despite their power, are not a complete replacement for judgment in real-world support. The company's founding team previously managed 2 million inquiries per week and built the platform to tackle exactly those edge cases where automation alone fails.
Funding fuels a U.S. push
Kim.cc will use the Stellaris funding to deepen its presence in the U.S. market - already the target of its 2028 revenue goal - while continuing to scale operations in India. Hiring is underway across sales, partnerships, customer success, and client-facing leadership roles. The expansion puts the company in direct competition with established software and services providers in a $470 billion global customer support market.
This approach reflects a broader shift in AI for Customer Support, where the emphasis is moving from outright automation to measurable outcomes delivered through integrated human-AI workflows.
What leadership is saying
"Customer support operations is entering a new phase. The early wave of AI customer support focused heavily on automation, but full automation has not delivered on its promise for many real-world customer service," said Sachin Jaiswal, Co-Founder and CEO. "LLMs are powerful, but when the work becomes complex, high-stakes, or brand-sensitive, companies still need human judgment, quality control, and accountability."
Alok Goyal, Partner at Stellaris Venture Partners, added: "We are excited to back the Kim team as they redefine what great customer support looks like at scale. … Kim is changing that by combining AI automation with human oversight to deliver measurable outcomes at 40% lower support costs without compromising quality."
CTO Kaushik Barodiya described the company's platform as "the operating system for AI-native service delivery," built to make every workflow more intelligent and scalable rather than replace expertise.
Why this matters for customer support professionals
Kim.cc's model signals a maturation of the industry - away from chatbot-only experiments and toward structured systems where AI handles volume and humans handle nuance. For team leads and call center supervisors, this means job roles are evolving from pure people management to orchestrating blended teams of agents and AI tools. Acquiring skills to manage those workflows is becoming a practical necessity. An AI Learning Path for Call Center Supervisors can help build the competencies needed to lead in this hybrid environment, where cost efficiency and quality must coexist.
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