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Vambe competitors & alternatives
The 12 closest competitors and alternatives to Vambe among artificial intelligence companies — ranked by similarity to what Vambe actually does, not by market-cap band.
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About Vambe
Vambe AI, Inc. is an all-in-one AI-powered software developer headquartered in Las Condes, Santiago, Chile, with a team of over 150 employees.
Vambe at a glance
Vambe is an artificial intelligence company headquartered in Chile. It has raised at least $17.9M across the 2 funding rounds on record. Its most recent funding round, Series A, raised $14M in December 2025. Xcout tracks 14 named people at Vambe, including Manuel Ossa Hurtado (Chief Operating Officer).
Vambe leadership
- Manuel Ossa HurtadoChief Operating Officer
- Cristóbal Verdugo DammChief of Staff
- Nicolás CamhiCEO and Co-founder
- Nicolás Camhi GuerreroChief Executive Officer & Founder
- Diego Chahuan LuhrsChief Technology Officer & Founder
- Matías Pérez PefaurChief AI Officer & Founder
8 more named people on record for Vambe, with roles, board committees and tenure — see the full roster →
Vambe funding rounds
At least $17.9M raised across the 2 rounds on record. Every round on record:
| Date | Round | Amount | Investors |
|---|---|---|---|
| Series A | $14M | 8 named | |
| Series A | $3.9M | 8 named |
Who invested in each round, lead investors, valuations and the co-investor graph — open the full funding history →
Recent Vambe news
Top 12 Vambe competitors
Ranked by semantic similarity — how close each company is to Vambe by what it does, using Xcout's live company graph. Click any company for its full profile, or its competitor set.
AI/ML
DeepCode is an AI-powered development platform headquartered in Zurich, Switzerland. It automates code generation and implementation tasks.
AI/ML
Neander Inc. is a desktop AI software-development company headquartered in San Francisco, California. The company provides tools and solutions designed to turn product intent into production software.
Software & AI Development
Creative Tim provides UI components, design templates, software development services, and AI agent deployment tools for developers and businesses.
AI/ML
Poolside is an AI-powered software company headquartered in San Francisco, California. It is scaling a world-class research team to help billions code and realize Artificial General Intelligence (AGI).
Artificial Intelligence & Software Development
Qoder provides an AI coding assistant and agentic platform offering autonomous development desktops and workflow automation tools for software engineering and business tasks.
AI/ML
CodeWisp is a software development company founded in 2025 and based in San Francisco, United States. It aims to enable anyone to create real games using AI.
AI/ML
Inspector is a software development company that provides an AI IDE (Integrated Development Environment) for designers. This tool allows designers to edit elements on a live front end, similar to Figma, and generates the corresponding code.
Similar artificial intelligence company
Nustom is an artificial intelligence startup that provides a platform and end-to-end SaaS to help non-technical individuals create software applications. The company also offers software development services utilizing human engineers in the loop.
AI/ML
Builder.ai was a software-development company that helped businesses build custom applications through a visual platform, combining AI-assisted configuration with human development and project support. It served startups, small and medium-sized businesses, and enterprises seeking to create mobile or web apps without maintaining a large in-house engineering team.
AI/ML
All Hands AI is a software startup headquartered in Boston, Massachusetts, that builds commercial offerings and support around OpenHands, an open-source AI agent for accelerating software engineering.
Similar artificial intelligence company
OpenPipe is an enterprise-grade artificial intelligence platform headquartered in Seattle, Washington, that empowers software developers to construct datasets, refine prompts, and fine-tune models cost-effectively using reinforcement learning.
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