Parasail
Parasail is an AI inference cloud platform that aggregates GPU compute across 26 data centers in 15 regions to serve AI-native startups and developers with pay-per-token, dedicated, and batch inference for 2M+ open models.
- Company typePrivate
- Founded2025
- HeadquartersSan Francisco, United States
- Headcount11–50
- GTM typeB2B
- OfferingSoftware
What Parasail does
Parasail operates an AI inference cloud platform that aggregates global GPU compute supply and routes workloads across a distributed fleet to deliver AI model serving without requiring customers to manage hardware. Its core platform spans 26 data centers across 15 regions running NVIDIA H100, H200, B200, B300, A100, RTX 5090, and RTX PRO 6000 chips behind a unified API. A proprietary orchestration engine with liquid routing between dedicated and shared pools achieves approximately 95% fleet utilization, while a custom-trained EAGLE-3 speculative decoding implementation and fastsafetensors + io_uring loading stack deliver 2-5x inference and cold-start performance gains versus naive deployments. The product surface includes four tiers: Serverless (pay-per-token access to 2M+ open models), Dedicated Serverless (private endpoints with per-token billing in early access), Dedicated Inference (reserved GPU capacity priced per GPU-hour under multi-year contracts), and Batch (offline processing at ~50% discount to serverless rates on spare capacity).
Parasail's commercial model is usage-based across all tiers with a distinctive flexible commit structure denominated in inference dollars rather than hardware SKUs, allowing mid-contract model and GPU generation switches without renegotiation, overage billed at committed rates, and quarterly rollover of unused spend. Go-to-market is hybrid: an API-first self-serve funnel serves AI-native startups and developers, while a direct sales motion handles dedicated deployments and enterprise SLAs; distribution also flows through OpenRouter for shared workloads. Customer base is concentrated in AI startups and AI-native companies — named users include Elicit, Rasa, Oumi, mem0, Gravity, Kotoba, Venice, Everpilot, Weights & Biases, and Neuralwatt — with stated emphasis on customers migrating from closed-model vendors to open-source models on dedicated infrastructure.
The company was founded in April 2025 by Mike Henry (former CPO of Groq, acquired by NVIDIA for $20B; founder/CEO of Mythic) and Tim Harris (former CEO of Swift Navigation), with engineering drawn from NVIDIA, Amazon, Stripe, Uber, Groq, Mythic, Blue Origin, and academia. Total funding is $42M across a $10M seed in April 2025 (Basis Set Ventures, Threshold Ventures, Buckley Ventures, Black Opal Ventures) and a $32M Series A in April 2026 co-led by Touring Capital and Kindred Ventures with Samsung NEXT, Flume Ventures, and Banyan Ventures. Reported scale metrics include 750B tokens served daily, 30% month-over-month revenue growth since launch, SOC 2 Type 1 compliance, and active strategic partnerships with Neuralwatt (energy-aware routing), Wafer AI (model optimization), and Shadeform (capacity visibility).
Parasail firmographics
Firmographics- Name
- Parasail
- Legal name
- Parasail, Inc.
- Website
- https://parasail.io
- Company type
- Private
- Founded year
- 2025
- Operating status
- Operating
- Headcount range
- 11–50 employees
- Short description
- Parasail is an AI inference cloud platform that aggregates GPU compute across 26 data centers in 15 regions to serve AI-native startups and developers with pay-per-token, dedicated, and batch inference for 2M+ open models.
- Ownership category
- akta.pro rank
Parasail industry classification
Industry- Product category
- AI Inference Cloud Infrastructure
- NAICS
- Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (518)
- SIC
- Services-Computer Programming, Data Processing, Etc. (7370)
- akta.pro primary industry
- Model Deployment, Serving & Inference Platforms (HDAAABAF)
Keywords
Where Parasail is headquartered
LocationHeadquarters
- HQ city
- San Francisco
- HQ country
- United States
- HQ region
- North America
Offices1 record
Markets served
Parasail business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Infrastructure, Supply Chain, Technology or R&D, Personnel, Marketing or Sales, Operations
Revenue model
- Serverless Inference: Pay-per-token pricing for access to 2M+ open models via API. No minimums, no rate limits, pay-as-you-go model. Input and output tokens priced separately per model with cache read discounts.
- Dedicated Serverless: Per-token pricing on private dedicated endpoints. Combines performance of dedicated compute with cost structure of serverless billing. No idle-hour charges when model is quiet. Currently in early access.
- Dedicated GPU Deployments: Reserved GPU capacity priced per GPU-hour. Volume discounts available. Hardware options include NVIDIA B300, B200, H200, H100, RTX PRO 6000, and RTX 5090 with various memory configurations.
- Batch Inference: High-throughput offline processing at lowest per-token rates on spare fleet capacity. Discounted from serverless rates with additional savings for cached tokens. Supports millions of requests per job.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Usage-based | Pay-as-you-go | Serverless - Pay-per-token access to 2M+ open models with no minimums |
| Usage-based | Pay-as-you-go | Dedicated Serverless - Private optimized endpoints at per-token pricing |
| Usage-based | Multi-year contract | Dedicated - Reserved GPU capacity with negotiated SLAs |
| Usage-based | Pay-as-you-go | Batch - Highest throughput at lowest per-token rates on spare fleet |
Go-to-market motion2 records
Distribution channels3 records
Marketing channels4 records
Parasail product offering
Product offeringCore offering
Parasail operates an AI Supercloud platform that aggregates GPU compute resources across 26 data centers in 15 regions and delivers inference services for 2M+ open AI models. The platform offers four service tiers — serverless per-token inference, dedicated serverless endpoints, reserved GPU deployments, and high-throughput batch processing — accessed via a unified API. An orchestration engine dynamically routes workloads between dedicated and shared pools to achieve approximately 95% fleet utilization.
Product overview
Parasail is an AI infrastructure company offering an AI Supercloud platform for deploying and scaling AI agents. The platform provides four inference service tiers: Serverless (per-token API access to 2M+ open models), Dedicated Serverless (private optimized endpoints with per-token pricing), Dedicated (reserved GPUs with GPU-hour billing and negotiated SLAs), and Batch (high-throughput offline processing at lowest per-token rates). The platform aggregates GPU compute across 26 data centers in 15 regions and uses an intelligent routing layer to achieve ~95% fleet utilization. Parasail's flexible commit structure allows customers to denominate spend in dollars of inference rather than hardware, enabling them to switch models and GPU generations without renegotiating contracts.
Differentiator
Problem solved
Functional benefit
Products and services
- AI Supercloud Platform Core AI inference platform that aggregates global GPU compute across 26 data centers in 15 regions and automatically optimizes model endpoints for speed, performance, and cost, enabling developers to deploy and scale AI workloads without managing physical infrastructure.
- Serverless Inference Per-token API access to 2M+ open models with pay-as-you-go pricing, no minimums, and no rate limits. Multitenant deployment accessible via a single Parasail API key.
- Dedicated Serverless Private, optimized endpoints priced per million tokens that combine the performance of a dedicated endpoint with the cost structure of serverless billing. Includes per-workload tuning and dedicated support. Currently in early access.
- Dedicated Inference Reserved GPU capacity sized to the customer's roadmap with negotiated SLAs. Priced per GPU-hour, billed by the minute, offering reserved capacity with full control over model selection and GPU/data location. Hardware includes NVIDIA B300, B200, H200, H100, RTX PRO 6000, and RTX 5090.
- Batch Inference High-throughput offline batch processing at the lowest per-token rate using spare fleet capacity. Supports millions of requests per job at approximately 50% discount versus serverless rates, suited for evals, embeddings, and dataset building.
- Batch Helper Library A developer tool for processing large-scale language model inferences via batch jobs, providing model compatibility, batch resumption, and metadata tracking.
Quantifiable outcome
- 30x cost reduction vs legacy cloud providers
- +6 more outcomes
Companies that use Parasail
Customer profileNamed customers10 records
Segments3 records
Ideal customer profiles2 records
Parasail technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- Yes
- API docs
- API detail
Core technology
AI maturity
App detail
Integration3 records
AI capability7 records
Feature5 records
Parasail partnerships and signals
Strategic signalPartnerships
Three partnerships are on record, tiered core.
- NeuralwattcoreNeuralwatt's energy intelligence technology is integrated into Parasail's GPU fleet to route compute to the most efficient hardware, pulling more inference out of every watt. Partnership brings real-time thermal awareness and smarter workload placement across Parasail's entire fleet.
- Wafer AIcoreWafer AI optimizes world's best open models to run faster and cheaper on latest hardware without sacrificing accuracy. Parasail serves as preferred launch partner for Wafer AI optimized models including Kimi K2.6 NVFP4, achieving up to 58% more throughput and 43% faster token streaming.
- OpenRoutercoreDistribution partner for shared workloads. Parasail fulfills shared workloads through OpenRouter, enabling capacity flexibility and allowing Parasail to route GPUs between dedicated and shared pools without impacting serverless customers.
Scale indicators8 records
Recent moves6 records
Expansion highlights6 records
Parasail competitors and assessment
Company assessmentDirect peers
- Together AI: Together AI is a leading AI cloud platform offering serverless and dedicated inference for open-source LLMs, with a similar product surface (per-token API, dedicated endpoints, fine-tuning). Direct head-to-head competitor in serving 2M+ open models to AI startups with developer-led GTM.
- Fireworks AI: Fireworks AI provides low-latency, cost-optimized inference APIs for open-source and fine-tuned models. Closely comparable on product surface (per-token pricing, model catalog, optimization techniques like speculative decoding) and target customer (AI-native developers).
- Anyscale: Anyscale (creators of Ray) offers AI compute platform with managed inference endpoints and dedicated GPU capacity. Comparable as a developer-focused AI infrastructure platform serving production AI workloads with usage-based pricing.
- Modal: Modal provides serverless compute and inference infrastructure for AI/ML workloads with developer-first API. Directly comparable in serverless positioning, fast cold-starts, and AI-startup customer focus.
- Replicate: Replicate runs a cloud API for thousands of open-source AI models on a per-prediction pricing model. Comparable as a developer-facing, model-catalog-driven inference platform targeting AI builders with low-commitment access.
- DeepInfra: DeepInfra offers low-cost serverless inference for open-source LLMs and other models with per-token pricing. Direct competitor in the cost-optimized open-model inference category.
- Lambda: Lambda operates GPU cloud infrastructure and a serverless inference API for open models, with both reserved and on-demand tiers. Comparable business model spanning dedicated GPUs and per-token inference.
- RunPod: RunPod provides on-demand and reserved GPU cloud plus serverless AI endpoints, targeting AI developers and startups with usage-based pricing. Comparable on product surface and customer profile.
Broad incumbents
- CoreWeave: CoreWeave is a large-scale, vertically integrated GPU cloud provider offering dedicated GPU capacity and inference services. Comparable on inference offerings but materially larger scale, owns its infrastructure, and serves enterprise AI customers more broadly.
- Hugging Face: Hugging Face operates the dominant open-model hub and offers hosted inference endpoints (Inference Endpoints) and serverless APIs. Comparable on open-model catalog and inference-as-a-service, but with much broader community and ecosystem scope.
Market position
Strengths5 records
Weaknesses5 records
Competitive moat6 records
Key risks7 records
Key highlights7 records
Customer concentration
Parasail social profiles
Digital presenceParasail compliance and trust
Trust signalCompliance1 record
Parasail financial estimates
Financial estimateRevenue estimate
Valuation estimate
Parasail leadership team
Management profileNumber of profiles
Profiles11 records
Parasail funding detail
Funding detailFunding overview
Funding rounds3 records
Investors9 records
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Parasail M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about Parasail
What does Parasail do?
Parasail operates an AI Supercloud platform that aggregates GPU compute resources across 26 data centers in 15 regions and delivers inference services for 2M+ open AI models. The platform offers four service tiers — serverless per-token inference, dedicated serverless endpoints, reserved GPU deployments, and high-throughput batch processing — accessed via a unified API. An orchestration engine dynamically routes workloads between dedicated and shared pools to achieve approximately 95% fleet utilization.
Is Parasail a public or private company?
Parasail is a private company. It is classified as venture growth investor backed and is currently operating.
When was Parasail founded?
Parasail was founded in 2025. It employs 11 to 50 people.
Where is Parasail based?
Parasail is headquartered in San Francisco, United States, in the North America region.
How does Parasail make money?
Four revenue lines are on record. Serverless Inference is the primary driver. The others are dedicated Serverless, dedicated GPU Deployments and batch Inference.
Who are Parasail's main competitors?
Direct peers on record are Together AI, Fireworks AI, Anyscale, Modal, Replicate, DeepInfra, Lambda and RunPod. Broad incumbents are CoreWeave and Hugging Face.
Does Parasail have an API?
Yes. Parasail provides a serverless API service that gives users access to 2M+ open models via an API gateway. The API allows developers to deploy production AI endpoints in minutes, process tokens via a REST API, and interact with various models using code examples and documentation. The platform offers a code/API key system for authentication. Developer documentation is at docs.parasail.io.
What industry is Parasail in?
Parasail's product category is AI Inference Cloud Infrastructure. Its primary akta.pro industry code is HDAAABAF, Model Deployment, Serving & Inference Platforms. Its NAICS code is 518 and its SIC code is 7370.