Vlad Mukhachev
Founder at Green Republic Ai
Based in London, United Kingdom
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Seniority
C-Team
Department
General Business & Management
Location
London
Industry
Technology; Information and Internet
Company size
11
Contact information
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v•••••••@tgr.agency
Phone
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Background
About Vlad Mukhachev
I’m Vlad, and I run GreenRepublic, a London-based software studio. We specialise in building and integrating AI-powered solutions for 7- and 8-figure businesses, helping them automate workflows, reduce costs, and unlock new revenue through custom AI-driven software solutions. Over the last four years, we’ve built 80+ custom software products across 23 countries for startups and global brands like Pernod Ricard, the UN, and Cathay Pacific. As AI started reshaping industries, I noticed a pattern—businesses either struggled with its complexity or ended up with flashy AI solutions that didn’t deliver real impact. So, I set out to change that. At GreenRepublic, we don’t just build AI—we make it work for business. We develop AI-driven CRMs, knowledge bases, inventory management systems, automation tools, virtual AI agents, ID verification systems, and much more—all designed to streamline operations, reduce costs, and unlock new revenue. But we don’t build AI-powered products for the sake of it. For every product we build, we follow a proven two-phase approach to ensure real, measurable results: → Phase 1 (Product Architecture) – We identify high-impact opportunities & map out a clear execution plan, including product requirements, high-fidelity mockups, tech stack recommendations, system architecture & a full development quote with resources needed.* If we can’t find use cases that guarantee measurable ROI, we don’t proceed. → Phase 2 (Product Development) – We engineer, integrate, and deploy a scalable AI-driven solution tailored to your business. Why this approach? We believe in transparency. A fully integrated, most complex AI software solution can cost anywhere from $120K. For a custom AI-driven solution to be a justifiable investment, we aim for at least a 2x return—meaning if the solution costs $200K, it should generate at least $400K in savings or additional revenue. If we can’t identify AI use cases that meet this threshold, the cost isn’t justified—so we simply don’t proceed. This ensures that AI is only built where it delivers measurable business impact, making it a win-win for both sides. So if you’re an entrepreneur or executive looking to leverage AI in a way that actually drives business impact, let’s talk. DM me or email vlad@greenrepublic.ai—and if you're in London, let’s grab a coffee. PS—Follow me for insights on AI, business, automation, and the future of software: Youtube: IG: Threads:
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