Own Your AI. Keep Your Data.
Run open-source LLMs inside your network. Private, fast, and under your control.
Total Data Sovereignty
Guarantee data privacy and compliance by keeping everything inside your network.
Instant Integration
Your developers can use their favorite tools by simply changing an API endpoint.
Trusted by
Run where the auditors are happy
VPC, private cloud, or on-prem with air-gap.
Zero data leaves
Sensitive info never leaves; tick SOC 2/HIPAA boxes.
Performance local
Cut network hops and jitter for more reliable responses.
Drop-in integration
Your developers can use the tools they already know and love. Simply swap a single API endpoint.
No learning curve
Teams ship features faster because nothing gets rewritten
Model freedom
Swap open-source models (OpenAI, Qwen, etc.) without changing your app.
From Theory to Reality
Offline AI in Action: A Developer's Guide to Local LLMs
Discover why running large language models locally is a game-changer for data privacy, security, and speed. In this session, SSW Solution Architect Jernej Kavka provides a hands-on guide to the essential tools and techniques, culminating in a live demo of an offline AI copilot for home automation.
Tech wisdom from the trenches
At SSW, we’ve been knee-deep in projects for years: debugging giant solutions, fixing game-stopping bugs, and staying on the cutting edge. No guesswork, just proven tips that help you build better software.
