Redrob
Category: AI Infrastructure
Redrob is an AI infrastructure and research startup specializing in cost-effective large language models (LLMs) and AI-driven solutions for global markets, with a focus on emerging economies like India. Redrob was founded in 2018. The company is led by Felix Kim. Based in New York, USA. Team size: 100. Total funding raised: $14M. Latest round: Series A, $10.0M, 2025-11, led by Korea Investment Partners. Key investors include Korea Investment Partners, KB Investment, Kiwoom Investment, Korea Development Bank Capital, Daekyo Investment, DS & Partners.
- Founded
- 2018
- Headquarters
- New York, USA
- Team size
- 100
- Total funding
- $14M
Value proposition
Democratizing AI access through 50x cost reduction in AI deployment while maintaining 90% of flagship LLM performance, offering free access to 300M Indian students.
Products and solutions
Borderless LLM V1.0 (enterprise-grade language models), Redrob GTM (AI-driven outbound intelligence), Redrob HR (AI-powered hiring intelligence), Redrob Human Intelligence Lab (data for AI training), AI-powered B2B lead generation tools
Unique value
Combines advanced ML techniques (e.g., Mixture of Experts) with a B2C-to-B2B conversion strategy to deliver affordable AI infrastructure for underserved markets.
Target customer
Enterprises (HR, sales, productivity), educational institutions, and individual users in emerging markets.
Industries served
Education, Enterprise AI, Global Recruitment, B2B Sales & Marketing, Cross-border Technology, HR Technology
Technology advantage
Full-stack AI infrastructure spanning foundation models to end-user applications, achieving 20-50× cost reduction via optimized ML architecture using Mixture of Experts, distillation, and quantization.
How they differentiate
Redrob differentiates through 50x cost reduction in AI deployment using Mixture of Experts architecture and quantization, while targeting emerging markets with free AI access for 300M Indian students. Focuses on localized language models for Indian languages and enterprise-grade solutions at 5% of typical costs.
Main competitors
OpenAI (ChatGPT), Google Gemini, Meta AI, Anthropic (Claude)
Key partnerships
Korea Investment Partners (Series A lead investor), KB Investment, Kiwoom Investment, Korea Development Bank Capital, Daekyo Investment, DS & Partners, 500+ Indian universities for student AI access programs
Notable customers
500+ Indian universities, Global enterprises using Redrob's cost-effective AI infrastructure
Major milestones
Achieved world's third-largest LLM platform status, 50x cost reduction in AI deployment, Providing free AI access to 300M Indian students (Q1 2026), Expanded to 5 global offices with 100+ employees, Raised $10M Series A in 2025
Growth metrics
$7M ARR, 3 million users (primarily in India)
Market positioning
Positioned as the 'Android to ChatGPT's iPhone' by democratizing AI access for cost-conscious enterprises and emerging markets. Targets 3 billion users in underserved regions with affordable infrastructure.
Geographic focus
Primary focus on India (300M student initiative, 500+ universities), with operations in San Francisco, New York, New Delhi, Mumbai, and Seoul. Expanding access to Southeast Asia and Africa.
Patents and IP
Patents pending in data privacy and context AI (no publicly disclosed patents found)
About Felix Kim
Former attorney and Vice President of the Korean Bar Association; transitioned from a partnership track at a top Korean law firm to founding Redrob. Combines legal expertise with AI entrepreneurship.
Official website: https://redrob.io/