Doubleword

Doubleword is an AI inference platform built for high-volume workloads, giving you OpenAI-compatible access to a wide range of open-weight models, including language, vision, OCR, and embedding models. That means you can plug it straight into your existing tools and pipelines without rewriting your code.

Flexibility sits at the core of how it runs. Doubleword supports real-time, async, and approximately 24-hour batch inference, so you can trade latency for substantially lower token costs whenever speed is not the priority. For teams churning through millions of requests, that trade-off adds up to serious savings.

The platform is designed for the workloads modern AI teams actually run, from agentic reasoning and evaluations to synthetic data generation, annotation, extraction, coding workflows, and large-scale data processing. Whatever the task, you get consistent, scalable performance even under heavy load.

Under the hood, Doubleword's inference stack includes optimization technologies such as FlashOffload, Speculative KV Coding, and Cloudburst, which work together to improve throughput, cache efficiency, and startup times, keeping costs down and responses fast even at scale.