Together, these principles form a sovereign AI network where intelligence lives with you, not in someone else's datacenter.
Read the latest in our First Principles Series: webai.com/blog/first-pri…
Ai4 2025 in Las Vegas was incredible!
Hundreds of people stopped by throughout the event. From the expo floor to live demos of Knowledge Graph RAG in action— here's what it looked like behind the scenes.
Thanks to everyone who came by. Can't wait to see you at the next event!
Real customer success means you own, improve, and differentiate with AI— not just adopt it.
Read the latest in our First Principles Series: webai.com/blog/first-pri…
Empower customers to build competitive moats
The ultimate goal isn't just to adopt AI— it's to build defensible advantage with it. Create your own experts, own your interaction data.
Make AI economically viable
Right now, AI is expensive. Sometimes prohibitively so. Economics shouldn't be the blocker for innovation— making AI viable at scale is the first condition for customer success.
OpenAI's new gpt-oss 120B and 20B models confirm what we've been building toward: the future of AI is open, distributed, and sovereign.
This is exactly why we built webAI— to bridge world-class models with enterprise outcomes on your infrastructure.
Read our full take:…
We just hit 94% accuracy on RobustQA, beating industry standards.
Traditional RAG chunks perfectly sized documents into small pieces, destroying context.
We preserve complete documents instead.
Better accuracy, complete context, more efficient storage.
What if your RAG system could actually understand how information connects?
Traditional RAG search treats every page like an isolated fragment, but Knowledge Graph RAG in Navigator changes that. Instead of searching disconnected text chunks, it understands how information…
We're proud to be named to the @CBinsights AI 100 - recognizing the most promising artificial intelligence startups of 2025!
This further validates our approach to private, local AI that keeps your data on your device.
Huge thanks to our team, partners, and community who made…
AI investment in the enterprise continues to accelerate. Last year was about early projects, but now companies are pushing AI into production and building enterprise-wide systems.
We're seeing a clear shift toward architectures that run on existing hardware and keep data private…
The numbers behind our Entropy-Weighted Quantization (EWQ) research are impressive 📊
18-22% smaller LLMs while maintaining accuracy within 0.5% of full models across:
- Meta Llama
- Qwen
- Google Gemma
- Microsoft Phi
FastEWQ, our efficient implementation, predicts which…
Enterprise AI doesn't have to mean sending your data to the cloud.
"This development proves that businesses can deploy enterprise-grade AI without the risks associated with cloud connectivity."
Excited to see this recognition of what's possible when AI runs locally on devices…
Apple just featured our Companion app running on the new M4 MacBook Air during their launch event. 🎉
They demonstrated how Companion optimizes model footprint and performance, enabling a 22B parameter model to run alongside multiple demanding applications—all on a fanless…
The new M4 MacBook Air just launched! Together with Companion, it makes powerful local AI accessible to more users than ever. 💻
What this means for you:
- Faster responses from our 22B parameter model
- Process complex documents without cloud dependencies
- Run alongside other…
🚀 ⬜️ Companion + Navigator = a game-changing AI synergy!
I’m locally running multiple AI models (no cloud!) to tackle complex tasks—from #DeepSeek’s advanced reasoning to real-time website design.
#webFrame shrinks model sizes by 30% without losing accuracy, webAI will power…
Cloud AI outages = business disruption
This is why companies are choosing Local AI:
⚡️ 24/7 availability
🔒 Complete control
🛡️ Data sovereignty
🔓 No vendor lock-in
Start building on webAI: hubs.la/Q02YZkKG0
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