Parasail

Parasail is a managed AI inference cloud that gives developers production-ready endpoints for open-source and custom LLMs in minutes, on pay-per-token economics without long-term GPU contracts. It is built for AI-native startups and enterprises that need cost-efficient, scalable inference across serverless, dedicated and batch workloads.

Parasail is an AI 'supercloud' for inference, led by founder and CEO Mike Henry and headquartered in San Francisco, that abstracts away GPU supply fragmentation and inference optimization so developers can launch production AI endpoints in minutes with minimal code. The platform aggregates global GPU supply across dozens of data centers and offers flexible deployment — serverless, dedicated serverless, dedicated GPUs and batch processing — with automatic request routing to hit latency and concurrency targets. Billing is usage-based (pay-per-token) rather than tied to GPU allocation, which Parasail says makes it up to 30x cheaper than legacy clouds for AI inference; it supports over two million open-source models plus custom fine-tunes and specialized OCR, vision, voice and retrieval models, with day-zero support for new frontier LLMs. Since launching in April 2025 the platform has scaled to serve hundreds of billions of tokens per day for customers including Elicit, Mem0, Venice and Rasa. In April 2026 Parasail raised a $32M Series A led by Touring Capital and Kindred Ventures, bringing total funding to about $42M.

Category

Infrastructure & Cloud

Pricing

Usage-based

Target Market

AI/ML Engineers, Enterprise Developers, CTOs, AI-native Startups

Founded

2025

Headquarters

San Francisco, California, USA

Customers

Customers include Elicit, Mem0, Venice and Rasa

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  Pay-per-token inference

  Usage-based billing without long-term GPU contracts, up to 30x cheaper than legacy clouds.

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  Flexible deployment

  Serverless, dedicated serverless, dedicated GPUs and batch processing to match performance, control and cost needs.

• ✓
  Global GPU aggregation

  Orchestrates GPU capacity across dozens of data centers in 15 regions with current-generation hardware.

• ✓
  Day-zero frontier model support

  Immediate access to new open-source and frontier LLMs as they release.

• ✓
  Custom model and fine-tune hosting

  Runs custom fine-tunes and specialized OCR, vision, voice and retrieval models with an optimization agent for quality-speed-cost tuning.

• •
  Production LLM serving

  Serve high-volume LLM traffic with automatic routing to meet latency and concurrency targets.

• •
  Cost-optimized inference

  Cut inference spend versus legacy clouds using pay-per-token economics and GPU aggregation.

• •
  Batch and agent workloads

  Run large-scale batch inference and agent inference jobs cost-effectively.

Pay-per-token billing based on spending commitments rather than GPU allocation; Parasail claims up to 30x lower cost than legacy clouds for inference.

This page was written from 2 sources, 1 on domains other than parasail.io.

1. 1.prnewswire.com — parasail raises 32m series a to build the supercloud that pu
2. 2.parasail.io — parasail.iovendor