LiquidMetal AI, Inc.
Building the First Development Framework for AI Coding Assistants to enable developers to break the backend wall and ship production-ready apps consistently.
At a Glance
- AI Developers
- Enterprise Engineering Teams
- Startups building Agentic AI
AI Tools by LiquidMetal AI, Inc.
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Raindrop by LiquidMetal AI
AI Native Backend Runtime Platform
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Latest News
Design-First Development: What It Actually Looks Like
Building at LLM Speed: A Design-First Development Methodology
LiquidMetal AI partners with Vultr to deliver cloud-scale inference with AMD Instinct MI325X GPUs
The first framework designed for AI coding agents - Raindrop Launch
Products & Services
First purpose-built framework for AI coding agents (not humans), allowing for declarative application deployment.
Intelligent object storage with built-in RAG, automatic vector embeddings, and semantic search.
Persistent state management for AI agents, allowing them to maintain context across sessions.
Intelligent database with natural language to SQL capabilities, PII detection, and schema intelligence.
Market Position
LiquidMetal positions itself as 'AI-native infrastructure,' focusing on the backend needs of coding agents rather than general human-centric cloud platforms.
Leadership
Founders
Niall Dalton
Founder & CEO. Software and systems generalist with expertise in AI inference optimization. Previously Co-founder at Seaplane IO and Sequoia Scout. Former Principal Engineer and CTO at various tech firms.
Catherine Schikkerling
Co-founder. Background in data science and engineering; previously co-founded Seaplane IO.
Denzil Dunn
Co-founder. Engineering leader with focus on distributed systems; previously co-founded Seaplane IO.
Suneil Mishra
Co-founder. Former President of Mishra and co-founder of Seaplane IO.
Executive Team
Niall Dalton
Founder & CEO
Systems engineer and former Sequoia Scout.
Daniel Collins
Chief Sales Officer
Sales leadership in tech infrastructure.
Board of Directors
Founding Story
LiquidMetal AI was rebranded from Seaplane IO in 2024. Originally focused on edge computing and cloud-agnostic application management, the team pivoted to building specialized infrastructure (Raindrop) for the emerging era of AI coding agents and autonomous workflows.
Business Model
Revenue Model
Pay-per-use API and infrastructure consumption with a monthly platform subscription fee.
Pricing Tiers
Includes $5 in credits per month; overages billed at usage rates. Includes custom monthly spend limits.
Target Markets
- AI Developers
- Enterprise Engineering Teams
- Startups building Agentic AI
- AI coding assistant backends
- Autonomous AI agents
- Serverless AI applications
- Semantic search and knowledge bases
- Automated deployment of cloud infrastructure
- Chai
- Independent AI Developers via Claude Code