Controlled and compliant AI applications!
Dealing with unruly output from Large Language Models (LLMs)? Get typed, structured and compliant output from the latest models with Prediction Guard and scale up your production AI integrations.
Control the output of LLMs
Prediction Guard lets you enforce structure (e.g., valid JSON) and types (integer, float, boolean, etc.) on the output of the latest and greatest LLMs.
Why waste days engineering around unreliable text blob output. Get reliable outputs that can be immediately integrated into enterprise systems.
Boost the performance of open access models like Falcon, MPT, Camel, etc. to GPT levels by guiding output structures and types.
Overcome AI compliance issues
Models hosted by Prediction Guard can be integrated in a SOC 2 Type II and HIPAA compliant manner, allowing you to delight your customers AND your corporate counsel.
Prevent leakages of IP and PII to public AI APIs with questionable terms. Prediction Guard does not store data you send to LLMs.
Squash model hallucinations that might get you in hot water. Take advantage of easy-to-use checks on the consistency, factuality, and toxicity of LLM outputs.
Integrate and ensemble the latest models
Let us do the hard work of hosting all the latest open and closed models in a controlled manner (Falcon, MPT, Camel, Pythia, OpenAI, etc.). You can then easily swap between models and ensemble them via a consistent, OpenAI-like, API.
All of our models can be called, controlled, and even ensembled via a consistent API. Try new models with zero integration cost and 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 integration takes 5 minutes.
Integrate with popular frameworks
Take your application to the next level by combining the controlled and compliant LLMs 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!
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.
Loved by enterprise AI practitioners!
Here is what people are saying about us.
Efficient development
Overall, I must tell you that PG reduces coding overheads drastically.
Shirish Hirekodi
Technical Manager at CVC Networks
LLM solutions
Prediction Guard has built something that solves the main problem I have had working with language models.
Ben Brame
Founder and CEO at Contango
Plans & Pricing
Our pricing is simple. Pay for the volume of predictions that you need to make. All plans include access to hosted versions of the latest LLMs (Falcon, MPT, etc.) having our control, structured output, and checking functionality. Enterprise users needing volume discounts, self hosted deployments, and HIPAA compliance can contact sales below to start the discussion!