
Pruna AI combines hosted performance models for image and video generation with an open-source Python toolkit for optimizing AI models. Developers can use its models through an API, deploy models in their own infrastructure, or use the Pruna package to apply model-compression and optimization methods.
We are not the official developer of Pruna AI. This page helps users find, understand, and use the product.
Pruna AI is for teams that want to run generative models with an emphasis on inference performance, or improve the efficiency of models they already use. Its hosted catalog includes image and video models, with the website currently highlighting text-to-video and video editing or animation workflows. Developers can call hosted models through the Pruna API, while organizations that need more infrastructure control can explore self-hosting. Separately, the Pruna open-source library can be installed with pip install pruna and combines model-optimization methods such as pruning, quantization, and caching. This makes Pruna broader than a simple model directory: it offers both ready-to-call models and tools for optimizing models in a developer’s own environment. Model availability, performance, and per-use prices vary by model, so check the live catalog and documentation before integrating it.
The public website and documentation can be read without signing in. Hosted API use requires an account and sends requests to Pruna’s service, so review its privacy notice and terms before sending sensitive prompts or files. API calls can incur usage charges; check each model’s current rate and monitor usage. The open-source toolkit can run in infrastructure you control, but your deployment still depends on the models, libraries, and hardware you choose. Performance descriptions on the site are product claims and should be validated against your own workload.
Pruna AI serves two related developer needs: accessing ready-to-use performance models and optimizing models for faster or more efficient inference. Its site is currently featuring its P-Video model family alongside the open-source toolkit. There is no clear public source showing what triggered the latest search spike.
The official company website is https://www.pruna.ai/. Developer API documentation is at https://docs.api.pruna.ai/.
Both. Pruna offers hosted performance models through an API and an open-source Python library for model optimization.
The open-source package can be installed and used under its license, subject to your own infrastructure costs. Hosted API models are priced by usage; check the current model pricing before making requests.
Yes for hosted model API access and its API key. You can browse public docs without signing in; using the open-source package locally is a separate route.
The product is developed by Pruna AI. Its legal pages identify the company as Pruna AI GmbH.
The official website, model pages, and developer documentation were reachable on October 1, 2026.
Decision API – Official Website, What It Is & How to Use
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Explore AppDecisions API – Official Website, What It Is & How to Use
Decisions API is an independent developer platform that brings multiple decision models — Jev, Laya, Kev, Solar Decide, and Span — into one playground and one unified API for classifying, scoring, and routing text. Instead of prompting an LLM and parsing prose, you send a state (a ticket, message, or record) plus structured questions and get back typed answers with probability signals: a label (Choice), a rating along your rubric (Score), or a yes/no judgment with probability (Noul). Use it for customer-request routing, agent next-step selection, and claim-versus-evidence checking. An evaluation workbench lets you A/B test two models or question phrasings on the same cases before wiring one into production, and a single endpoint (POST /v1/systemone, Bearer auth) keeps the integration identical across models. New accounts get 100 free credits; paid packs are one-time ($10/$100/$1,000) and credits never expire. Note: decisions-api.org is an independent platform, not the OpenAI Decisions API preview announced at DevDay.
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Explore AppJev AI Model – Official Website, What It Is & How to Use
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