Unlike hosted AI services with usage-based pricing, our models run locally on your own infrastructure.
Stop waiting weeks for custom fine-tuning — Kinoux delivers models fine-tuned for your workflows, ready to deploy instantly.
Your data stays on your servers — Kinoux’s datasets and models execute locally, so nothing is ever shared externally.
Turn raw feedback into clear information: the model analyzes every customer review and classifies them as positive, neutral or negative. Get an instant overview of satisfaction trends, spot emerging issues and prioritize your improvements, all without sending a single word outside your infrastructure.
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Automatically classify French customer reviews as “spam” or “ham” and pinpoint one of five spam categories—promotion, phishing, scam, SEO boost, or clickbait. Integrate the model into your site to block unwanted messages, streamline moderation workflows, and deliver real-time filtering on your existing infrastructure.
Read MoreAutomatically classify French messages as “ham” or “spam” and identify the exact family: phishing, promotion, scam, seo boost, or clickbait. Integrate the model or use the dataset to block unwanted messages, streamline moderation, and deliver real-time filtering on your existing infrastructure.
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Access curated French-language datasets and ready-to-use AI models trained on high-quality synthetic data. Designed for NLP tasks such as sentiment analysis, spam detection, and classification—download and deploy instantly.
BROWSE DATASETS & MODELS →Deploy production-ready Python agents that automate web research, WordPress publishing, and knowledge-base question answering. No setup complexity—just configure, run locally, and integrate into your workflows.
EXPLORE AGENTS →All Kinoux resources run locally or on your own infrastructure—no cloud dependency, no vendor lock-in, and full control over your data. Ideal for developers, freelancers, and small product teams.
Move from idea to production without sacrificing privacy or predictability. Start with a local proof-of-concept in minutes, then deploy the very same datasets and models on your own servers for full-scale usage—no data ever leaves your walls and your costs stay fully predictable.
Run every model and dataset entirely on-premise; sensitive information stays behind your firewall—always.
Need to convince stakeholders fast? Run a local model with sample data, demonstrate results today, and scale the exact same setup on your own infrastructure tomorrow.
Pre-trained, domain-specific assets slash integration time so your team delivers AI value before the next sprint ends.
A single licence covers local testing and unlimited production use—no token meters, no usage-based pricing, no surprise bills.
Pre-built connectors and APIs slot straight into your existing toolchain—no custom engineering or DevOps gymnastics required.
Built for 24/7 operations with production-ready architectures—your AI workloads remain stable and reliable, even under peak demand.
Move from concept to production—fast, private, and predictable.
Launch a secure, hosted proof-of-concept in minutes, then deploy the same datasets and models on your own servers for full-scale rollout.
Your data never leaves your infrastructure, and your costs stay flat.
Choose the datasets and models you need, complete a one-time licence purchase, and download the assets. Follow our quick-start guide to deploy on your servers or spin up a hosted POC in minutes.
No. All datasets and models run entirely on your infrastructure. Kinoux never receives or stores your private data.
Most customers go from download to production-ready AI in a few hours. Our pre-tuned assets and step-by-step documentation eliminate lengthy custom development.
A single on-prem licence unlocks unlimited use of our datasets and models on your servers. There are no per-call or token-based fees—just one predictable investment.
Yes. Every on-prem licence includes access to our comprehensive documentation and support.
Yes. Many datasets include a free “lite” version to explore the structure and labels.
Models and agents are designed to run locally, so you can test them directly in a small project using the provided examples. Some resources are also available on Hugging Face or Kaggle for evaluation.
