Sail Research

Sail Research operates a cloud inference platform purpose-built to run long-horizon AI agents cheaply, offering up to ~10x lower cost per token plus stateful 'Sailbox' sandboxes that stay alive for days. It is built for developers and teams running background and long-running agentic workloads.

Sail Research provides an inference platform rebuilt from the ground up for throughput and efficiency rather than single-request latency, targeting the long-horizon AI agents that can run for hours, days, or weeks and consume billions of tokens. The stack runs customized open-source inference engines (including vLLM with PagedAttention) to deliver up to roughly 10x lower cost per token, and pairs them with 'Sailboxes' — persistent, stateful Linux sandbox environments that can be customized and linked into multi-agent ensembles. Its API is OpenAI- and Anthropic-compatible (Responses, Chat Completions, and Messages), supports 'completion windows' that trade latency for cost, and offers LoRA fine-tuning and RL rollouts. Supported models include Kimi-K2.6, GLM-5.2, gpt-oss-120b, DeepSeek V4 Pro, and Nemotron. On the BrowseComp-Plus research benchmark, Sail reported a 90.72% score at roughly one-tenth the inference cost of rivals. The company raised $80 million (combined seed and Series A) at a $450 million valuation from investors including Sequoia, Kleiner Perkins, and Redpoint Ventures.

Category

Infrastructure & Cloud

Pricing

Usage-based, Freemium

Target Market

Enterprise Developers, AI Engineers, CTOs, ML Platform Teams

• ✓
  Efficiency-first inference stack

  A rebuilt inference stack (vLLM/PagedAttention) delivering up to ~10x lower cost per token for agent workloads.

• ✓
  Completion windows

  Latency-for-cost tiers (asap, priority, standard, flex) that can cut token cost ~60–80% when a task can wait.

• ✓
  Sailboxes

  Persistent, stateful Linux sandboxes that run for days and can be linked into multi-agent ensembles.

• ✓
  OpenAI/Anthropic-compatible API

  Drop-in compatibility with Responses, Chat Completions, and Messages APIs, plus LoRA fine-tuning and RL rollouts.

• •
  Long-running research agents

  Run agents that browse and reason for hours or days at a fraction of typical inference cost.

• •
  Batch and background AI

  Use flex completion windows to process large, latency-tolerant workloads cheaply.

• •
  Stateful agent orchestration

  Maintain agent state across extended tasks using linked Sailbox sandboxes.

Usage-based per-token pricing; cheaper 'flex' completion windows run ~60–80% lower; $5 in free monthly credits; enterprise custom pricing with optional HIPAA region-locked hosting.

This page was written from 2 sources, 1 on domains other than sailresearch.com.

1. 1.sailresearch.com — sailresearch.comvendor
2. 2.siliconangle.com — sail research raises 80m optimize long horizon ai agents