Automatically configure your AI integrations!
Make one API call and start solving real world problems with state-of-the-art models.
Automate your AI setup
Prediction Guard automatically evaluates hundreds of models (from OpenAI, Cohere, Hugging Face, etc.) and configures the best one for your use case, domain, or task. Confused about what you need? Just input some examples, and let Prediction Guard create a custom endpoint for your task.
Why waste days finding the right model or chain of models? Get your generative AI integration setup in minutes.
Prevent getting locked in to one model provider. Use the best of what is out there and even mash up models from various providers.
Prevent model downtime
After Prediction Guard evaluates all the latest state-of-the-art generative AI models and APIs for you, it configures best and fallback models for your integration. If a model API is not responding, gracefully fallback to the next best. Zero downtime.
Look good, even when the OpenAI API is down or slow (and your competitors are suffering).
Do not let model output surprise you. Take advantage of task specific formatting and type checking.
Upgrade model integrations with zero cost
Let us do the hard work of hosting models and integrating all the latest AI APIs (including keeping track of endless API keys, cloud secrets, etc.). You can switch over to the latest, greatest models without changing a line of code.
If your integration can be updated to new models with zero cost, you can always be SOTA!
Look like a rock star when your leadership asks if you are using the latest AI model. We can keep your secret that this kind of upgrade takes 5 minutes.
Integrate with popular frameworks
Take your application to the next level by combining the automated model selection and configuration of Prediction Guard with the chaining, retrieval, agents, and evaluation available in popular open source frameworks.
Prediction Guard is available as an LLM wrapper in LangChain.
Data retrieval and LLM evaluation from LlammaIntex (GPT Index) works out-of-the-box!
Our Clients Speaks
We have been working with clients around the world
Efficient Collaborating
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Jane Cooper
CEO at ABC Corporation
Intuitive Design
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Jane Cooper
CEO at ABC Corporation
Mindblowing Service
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Jane Cooper
CEO at ABC Corporation
Created by a trusted leader in AI/ML
Daniel Whitenack (aka Data Dan), the founder of Prediction Guard, has spent over 10 years developing and deploying machine learning and AI systems in industry. He built data teams at two startups and at a 4000+ person international NGO, consulted with and trained practitioners at Mozilla, The New York Times, and IKEA, and hosted over 200 episodes of the Practical AI podcast with AI luminaries. He built Prediction Guard to solve real pain points faced by AI developers, such that generative AI can create enterprise value.
Early User Pricing 🚀
Our pricing is simple. Pay for a number of custom prediction endpoints, or model proxies, that you need (e.g., one for text generation and one for question answering) and the rate limit you require (# of requested predictions or inferences per second). All plans include access to our default model endpoints (for text generation, machine translation, toxicity detection, etc.).