A centralized model-agnostic real time LLM evaluation & execution engine.
LLM, Cloud, 1st party, 3rd party agnostic, your Al Assistant for all GenAI use cases.
Code completion
Write code faster and more accurately with our code completion feature.
Chat
Have natural conversations with our AI chatbot, which can answer your questions and help you with your tasks.
Stable diffusion
Generate realistic images from text descriptions with our stable diffusion feature.
Text completion
Write text faster and more creatively with our text completion feature.
Join the waitlist
Be the first to try our new features and get early access to Grain.ai.
Use cases
- Code completion
- Text completion
- Chat
- Stable diffusion
Optimization criteria
- Quality
- Cost
- Latency
Model selection
- OpenAI
- Anthropic
- LLAMA
- Grain Select
- Your own model
Request a demo
About Grain.AI
Our mission is to unlock the collective potential of all Gen AI
models. Our vision is to be a gateway to all Gen AI models and to
generate the best and the fastest responses for any user and any
prompt. Our immediate solution is a platform that calls any LLM and
evaluates responses in real-time while reducing costs and improving
quality.
Grain.AI is a gateway, a platform, and a tool to find, test, eval, and
run any Generative AI model on the market. Grain.AI is a centralized
and model agnostic Generative AI evaluation and execution platform. It
is the only tool developers and users need to get started with
generative AI. It continually adds new generative AI models allowing
developers to easily explore and test models at scale in production
and over time. The platform is model agnostic allowing developers to
focus on the quality of model responses and outputs against both
standardized and custom model evaluation queries (evals). evaLLM also
allows organizations to create custom ensembles of models routing
various requests to different models via a single API to get the best
results regardless of which model generated the response, greatly
simplifying the complexity of building software on top of generative
AI models.