Parasail announced it has raised $32 million in a Series A funding round to scale its AI Supercloud platform, bringing total funding to $42 million. The round was co-led by Touring Capital and Kindred Ventures, with participation from Samsung NEXT, Flume Ventures, and Banyan Ventures, along with existing investors.
Parasail is building an AI Supercloud, a distributed infrastructure layer designed to enable developers to deploy, scale, and optimize AI models and agents without managing underlying compute resources. The platform aggregates global GPU supply and automates inference and training workflows, allowing customers to launch production-ready AI endpoints within minutes.
The company aims to address growing challenges in AI infrastructure, including fragmented GPU availability, complex performance optimization, and high barriers to scaling AI workloads. By abstracting these complexities, Parasail enables developers to focus on building applications rather than managing infrastructure.
Its platform emphasizes cost efficiency, performance optimization, and flexibility, supporting a wide range of use cases from enterprise AI agents to consumer applications and developer platforms. The system continuously optimizes workloads across distributed compute environments to improve latency, throughput, and cost efficiency.
Since launching in 2025, Parasail has experienced rapid adoption, processing more than 500 billion tokens per day and achieving strong revenue growth. Customers include Elicit, mem0, Gravity, Kotoba, and Venice.
The new capital will be used to enhance orchestration and inference-optimization capabilities, expand go-to-market efforts, and deepen partnerships across the GPU and data center ecosystems.
Parasail is positioning itself as a foundational infrastructure layer for the next generation of AI applications, as developers increasingly seek greater control over how models are deployed and scaled.
KEY QUOTES:
“AI builders shouldn’t have to become infrastructure experts to ship great products. AI is becoming the core infrastructure for modern software. But the infrastructure layer itself hasn’t kept up. We built Parasail so teams can deploy custom AI at massive scale without negotiating contracts, managing fragmented GPU supply, or hiring performance engineering teams.”
Mike Henry, Founder And Chief Executive Officer, Parasail
“AI infrastructure is moving beyond single-cloud models. As inference workloads scale, companies need flexibility across hardware, geography, and cost structures. Parasail has built the control layer that makes that possible. The team combines deep systems expertise with a clear product vision, and we believe they are well positioned to define how modern AI applications are deployed.”
Samir Kumar, General Partner, Touring Capital
“The main product construct of this AI wave is the agent – replacing the notion of the manually-operated application world of the last thirty years. These agents are directed but can operate autonomously, call multiple models at runtime, and will require massive amounts of tokens. This new world and its developers need powerful customized inference and reinforcement learning capability that are flexible, instant, and dependable. Parasail offers the first agent-focused inference and training solution which simplifies the model and compute complexity of today’s dynamic generative AI market.”
Steve Jang, Managing Partner, Kindred Ventures
