ShuttleAI
Research profile; release coverage pending verification
Affordable, scalable, production-ready AI models
ShuttleAI does not have active models tracked in LLMReference yet — browse families below or jump to a model index when you already know which model you need.
Covers 0 workload areas across 0 active tracked models; last verified 2026-06-29.
Use it for
- Orientation before drilling into a specific model
Do not use it for
- Choosing a hosting provider without opening a model page for price ladders
- Production picks until at least one active model is linked
Active models
0
Current models from this lab, excluding deprecated ones
Active families
0
Current model families from this lab
Open catalog
0 open
0 open source / 0 open weights
Lowest output price
Not tracked
No provider output pricing linked yet
Latest dated release
None
No confirmed release dates yet
Freshness
2026-06-29
Researched 19d ago
Information
Release cadence
No confirmed release dates yet — browse families for roadmap context.
Where this lab wins
Not enough capability or benchmark coverage yet to call strengths for this lab.
Flagship quality / price signal
No flagship economics yet — this lab needs at least one active tracked model.
ShuttleAI is an American AI research organization founded in 2023. Affordable, scalable, production-ready AI models. ShuttleAI's model catalog is being expanded as public releases are verified and linked to stable pages. This page tracks the lab's public profile, known focus, related organizations, and catalog coverage status. Use it as a stable reference for lab background, release coverage, and follow-up model pages as they are added.
About
ShuttleAI, established in 2023 and based in the United States, specializes in AI-powered solutions, offering a fast and scalable API designed for seamless integration of AI models into various applications. Their core offering includes a range of AI models accessible through this API, with version 0.5.0 featuring a redesigned interface, improved payment systems, and the introduction of new models like shuttle-2.5, shuttle-2.5-mini, and shuttle-2-diffusion. The API's speed improvements are attributed to enhancements in their database and custom framework, complemented by a user-friendly dashboard for managing billing and API key scopes. ShuttleAI's models are designed for diverse applications, emphasizing natural language processing (NLP) capabilities. These models cater to tasks such as creative writing, role-playing, multi-turn dialogues, and instruction following. By offering models optimized for both large-scale and smaller applications, ShuttleAI demonstrates a commitment to providing versatile tools adaptable to a broad spectrum of user needs. While information on ShuttleAI's research and development efforts is limited, the company's focus on enhancing its AI API and models indicates a dedication to innovation in the AI space. The availability of models optimized for different scales suggests a strategic approach to meeting varied user requirements. Further details about the specific strengths and limitations of each model are available on the ShuttleAI website and documentation.
Model families
No model families are linked to this researcher yet. Browse all models.
Recent releases
No dated model releases are linked yet. Review the changelog.
FAQ
Who founded ShuttleAI and when?
ShuttleAI was founded in 2023 and is associated with United States.
What models has ShuttleAI released?
ShuttleAI does not yet have linked model pages in LLMReference; this profile tracks the lab while model entries are verified.
Is ShuttleAI's technology open source?
LLMReference does not yet have enough model license data to classify ShuttleAI's releases.
Where is ShuttleAI headquartered?
ShuttleAI is headquartered in United States.
What is ShuttleAI known for?
Affordable, scalable, production-ready AI models.
How can I access ShuttleAI's models?
ShuttleAI's provider availability is tracked on model pages as API and hosting data is verified.
Explore related pages
Last reviewed: 2026-06-29. Data sourced from public lab announcements and provider documentation.