Self-Hosted Services
Open Source
Our self-hosted services are completely open source for ultimate security and trust. Contribute to make our services better for everyone, or fork and customize them to fit your specific needs.
Local-First
We understand that the cloud isn't always the best option—and it can be costly. We build the tools and services you need to ditch recurring cloud fees and take back control.
Privacy & Security
Every service is designed from the ground up with your security and privacy in mind. No third-party data collection, no cloud requirements, no compromises.
Artificial Intelligence
We're constantly innovating in AI, exploring new ways to make modern technology accessible, private, and powerful—all running on your own hardware.
Speed
Our services are designed to work fast and save you time, helping you accomplish your goals more efficiently than ever.
Ease of Use
We design and develop all products with the user in mind. We strive to provide services that are both powerful AND approachable for Linux users comfortable with the command line.
FineFoundry
The complete toolkit for LLM dataset creation and model fine-tuning.
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Scrape multiple sources easily: Pull data from Reddit communities, StackExchange topics, 4chan boards, or use the synthetic data kit to generate training data from your own PDFs
Auto-formatted datasets: Scraped content is automatically formatted into trainable datasets compatible with HuggingFace and standard fine-tuning workflows
Merge and analyze: Combine multiple datasets, analyze quality metrics, and prepare your data for optimal training results
No subscription fees: Unlike commercial dataset services, FineFoundry is completely free and runs entirely on your hardware
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Built for everyone: Fine-tune models without writing code—FineFoundry handles the complexity with minimal configuration required
Beginner to Expert modes: Toggle between simple quick-start options and advanced parameter control based on your experience level
Train locally or in the cloud: Fine-tune models on your own GPU hardware, or connect to Runpod for cloud compute (pay only for Runpod usage—FineFoundry itself is always free)
Powered by Unsloth: Fast, memory-efficient fine-tuning with LoRA, QLoRA, and other modern techniques built in
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Everything can run locally: Build datasets, analyze data, and fine-tune models entirely offline on your own hardware
No data leaves your network: Unless you explicitly choose to publish to HuggingFace or use cloud training, your data stays private
Compatible with privacy tools: Works seamlessly with Ollama for local model inference and supports proxy configurations for anonymous web scraping
OpenSentry
Transform any camera into an intelligent, privacy-respecting security system.
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Turn any camera into a security system: Works with USB webcams, Raspberry Pi camera modules, or IP cameras—if Linux can see it, OpenSentry can use it
Command Center dashboard: Monitor multiple camera nodes from one centralized interface with real-time video feeds and controls
Remote access, securely: Access your cameras from anywhere with end-to-end encryption—only you have the keys
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Zero monthly fees: No cloud storage costs, no per-camera charges, no surprise bills
Runs on affordable hardware: Deploy camera nodes on Raspberry Pi devices ($35-$80) or repurpose existing hardware
Open-source foundation: Review the code, customize features, and trust what's running in your home
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No cloud, no third parties: All video processing and storage happens on your local network—never uploaded to external servers
You own your footage: Store recordings on your own hardware with full control over retention and access
No data collection: OpenSentry doesn't phone home, doesn't require accounts with external services, and doesn't track usage
What's Coming Next
We're actively developing new self-hosted tools and expanding existing products. Current focus areas include:
Enhanced AI detection for OpenSentry (object recognition, motion tracking)
Advanced dataset tools for FineFoundry (quality scoring, automated cleaning)
New products in development for local AI assistants, data analytics, and productivity tools
Want to influence our roadmap? Join the conversation on GitHub or X/Twitter, vote on feature requests, or share your use cases.
Ready to Get Started?
New to Self-Hosting?
Start with our "Basics" tutorial series covering Raspberry Pi setup, installing Ollama, and foundational Docker concepts.
Ready to Build?
Jump straight into product-specific guides:
Need Help?
Check our FAQ for answers to common questions, or reach out through our contact form below.
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Contact us
Questions, comments, or concerns? Fill out some info and we will be in touch shortly. We can’t wait to hear from you!