Funding

Parasail Raises $32M in Series A Funding

Apr 16, 2026 | By Startuprise io

Parasail, a San Mateo, CA-based developer of a deployment network for AI agents, has raised $32 million in a Series A funding round led by Touring Capital and Kindred Ventures.

The round also saw participation from Samsung Next, Flume Ventures, and Banyan Ventures.

The company will use the new funding to expand Parasail’s AI Supercloud, a global network of computing resources that automatically improves model performance by optimizing speed, efficiency, and cost.

With the extra funding, Parasail will improve its orchestration and inference optimization, accelerate its go-to-market plans, and strengthen partnerships across the GPU and data center ecosystems.

The world is rebuilding cloud infrastructure around AI, with huge investments in data centers and GPUs. However, developers still struggle to access this infrastructure and quickly run AI models for their applications. Parasail helps solve this by powering inference and reinforcement learning for a new generation of AI agents, from enterprise tools to consumer applications.

Parasail provides an AI Supercloud that delivers fast, reliable, and scalable AI computing. It allows customers to set up large-scale AI systems in under five minutes using global GPU resources.

The market for developer-controlled AI is growing quickly and is expected to exceed $100 billion as companies adopt custom models and distributed computing systems. This shift is driving the growth of a large ecosystem of software, hardware, and data centers.

At the same time, companies are realizing that AI is now a core part of modern software, leading to more open source and specialized models. To better manage cost, speed and customization, many are moving away from fixed AI APIs and building their own AI systems. However, the infrastructure remains fragmented, with limited GPU availability, complex optimization requirements, and slow, contract-heavy scaling processes.

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Parasail removes this friction by making it easy to deploy AI agents with production-ready endpoints in just minutes, without needing contracts or infrastructure management, and with the ability to scale to high traffic automatically. With only a few lines of code, developers can run custom models, meet performance goals such as low latency and high throughput, and handle sudden traffic spikes as their products grow quickly.

Parasail is not just a single cloud provider; it is a programmable deployment network that hides the complexity of fragmented GPU supply, and inference optimization. It allows startups and growing companies to scale from small usage to enterprise-level workloads without rebuilding their infrastructure.

The platform enables fast, developer first deployment of AI endpoints with minimal code, focuses on cost efficiency at scale, and connects multiple GPU providers to create flexible computing capacity beyond any single cloud. It also uses automated systems to continuously optimize performance, removing the need for manual tuning and engineering.

"AI builders shouldn't have to become infrastructure experts to ship great products," said Mike Henry, founder and CEO of Parasail. "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."

“AI infrastructure is moving beyond single cloud systems,” said Samir Kumar of Touring Capital. As AI inference grows, companies need more flexibility in hardware, location, and cost and Parasail provides the control layer that enables this. He added that the team combines strong technical expertise with a clear product vision and is well-positioned to shape how modern AI applications are deployed.

Steve Jang of Kindred Ventures said that AI agents are becoming the main building blocks of this new era, replacing traditional software applications. These agents can work independently, use multiple models, and require large-scale computing power. He added that Parasail provides an agent-focused system for inference and training that simplifies the complexity of running modern AI applications.

About Parasail

Founded in 2023, by Mike Henry and Tim Harris, Parasail is building an AI Supercloud. This programmable network lets developers deploy AI models in minutes and scale to high traffic without contracts, infrastructure work, or vendor lock in. By combining global GPU resources and automating performance optimization, Parasail helps companies run custom AI models with strong results in speed, scale and cost efficiency.

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