Enterprise AI Without Compromise

Deploy Powerful LLMs. Keep Your Data Sovereign. Monetize Your Knowledge.

STING revolutionizes enterprise AI with Honey Jar technology - turning your proprietary knowledge into secure, tradeable assets while maintaining complete data sovereignty.

AI That Doesn’t Phone Home

Run Powerful LLMs On Your Hardware. Keep Your Secrets Secret.

Look, we get it. You want AI that’s actually useful, but sending your proprietary data to some cloud server feels like handing your house keys to a stranger with a nice smile. STING runs on your infrastructure. Your data never leaves. No pinky promises required.

Open source. Self-hosted. Yours forever.

  • Nectar - Desktop app for personal use. Download, install, done.
  • STING Server - Docker deployment for teams. Self-hosted, multi-user.

You Know This Dance

You want to use AI. Legal says "absolutely not." Security has concerns. Compliance laughs nervously. Meanwhile, your competitors are shipping features faster because they either don't care about privacy or figured out something you haven't.

STING is that something: Real AI that runs 100% on your servers. No cloud required. No back channels or secret meetings needed. Just results.


From Zero to Buzzing in Under 30 Minutes

Step 1: Feed It

Throw Your Docs At It

PDFs, Word docs, databases, that chaotic SharePoint folder nobody wants to organize—just connect it. Our Worker Bees handle 15+ data sources so you don't have to write another integration.

Step 2: Watch It Work

PII Gets Scrambled. Automatically.

Social security numbers, credit cards, that executive's personal phone number buried in a random spreadsheet—STING finds it and scrambles it before the AI ever sees it. No manual redaction. No "oops" moments.

Step 3: Build Your Honey Jars

Package Knowledge That Actually Makes Sense

Give sales their playbooks. Give legal their precedents. Give engineering their actually-useful documentation. Role-based access means people see what they need, not the whole hive.

Step 4: Reap the Honey

Use It, Share It, Own It

Use it internally and watch your team stop asking the same questions repeatedly. Export your knowledge. Share with your team. It's open source—you own everything, forever.

No cloud setup. No data migration. No "just trust us, bee-lieve me."

Choose Your Path

Nectar (Desktop)

Personal AI, local-first. Download and run on your Mac, Windows, or Linux machine. Docker runs automatically behind the scenes.

Best for: Individual users, evaluation, offline use • 8GB RAM • ~5-10GB with models

Download Nectar

STING Server (Docker)

Team deployment, self-hosted. Multi-user server for teams. Full Docker stack, open source.

Best for: Teams, shared knowledge bases, self-hosters

bash -c "$(curl -fsSL https://raw.githubusercontent.com/AlphaBytez/STING-CE/main/bootstrap.sh)"

STING VM (OVA)

Pre-built virtual machine. Import into VirtualBox or VMware. Full STING server, zero setup.

Best for: IT evaluation, air-gapped environments • ~2GB • 8GB RAM • 4 CPU

Download OVA

Not sure which to pick?

Start with Nectar if you want to try STING quickly on your own machine. Go with STING Server if you need multi-user access or want to deploy for a team. Nectar can connect to a STING server later—start personal, scale to team.

STING server installer will:

  • ✅ Figure out your platform (macOS, WSL, Debian/Ubuntu)
  • ✅ Check if your hardware can handle it
  • ✅ Launch a setup wizard at http://localhost:8335
  • ✅ Walk you through config without requiring a PhD
  • ✅ Start everything automatically

System Requirements:

ComponentNectar (Desktop)STING Server
OSmacOS 11+, Windows 10+, LinuxUbuntu 20.04+, Debian 11+, macOS, WSL2
RAM4GB (8GB recommended)8GB (16GB+ recommended)
CPUDual-core4 cores (8+ recommended)
Storage10GB free50GB free (100GB+ SSD recommended)
GPUOptional (CPU works fine)Optional (NVIDIA recommended)
DependenciesOllama (for local AI)Docker (auto-installed)
← Swipe to see more →

No credit card. No sales calls. No “let me loop in my manager.” Just open source AI that respects your privacy.


What’s a Honey Jar?

You’ll see “Honey Jars” everywhere in STING. Don’t worry, it’s not as weird as it sounds.

A Honey Jar is where your knowledge lives - encrypted, searchable, and actually useful. Think of it as a vault that your AI can read but humans can’t peek into without permission.

Locked Down

AES-256 encryption. The good stuff.

AI-Searchable

Bee AI finds answers without exposing raw files

You Control Access

Decide exactly who sees what

Fully Exportable

Your data, your format, no lock-in

Real example: Legal dumps 500 contracts into a Honey Jar. Sales asks Bee AI “find me an NDA template for California.” Bee finds it instantly. Sales gets their answer. Nobody sees the raw contracts. Legal doesn’t get 47 Slack messages. Everyone’s happy.

Why the bee theme? Bees collect nectar and store it in honeycomb. You collect knowledge and store it in Honey Jars. Our desktop app is called Nectar. It all connects.


The Good Stuff

PII Protection That Actually Works

Sensitive data automatically caught and scrambled. Social security numbers, credit cards, medical records—gone before the AI touches them. Sleep better at night.

How the protection works →

Bee AI Learns YOUR Business

This isn't generic ChatGPT. Bee AI reads your docs, learns your terminology, and gives answers based on what YOUR company actually does. No more "based on my training data" nonsense.

Meet Bee AI →

Local + Cloud = Your Choice

Keep the sensitive stuff on your servers. Let cloud AI handle the heavy lifting when it's safe. You write the rules. STING follows them.

How hybrid works →

Fully Open Source

Apache 2.0 licensed. Fork it, modify it, run it forever. No vendor lock-in, no surprise licensing changes, no "we got acquired" emails.

View on GitHub →

Who Actually Uses This?

Legal Firms

You're drowning in documents and billing by the hour to find precedents. Let Bee AI do the digging while you do the lawyering. Attorney-client privilege stays intact. Your paralegals might actually go home on time.

Healthcare

HIPAA isn't a suggestion, it's your life. Analyze patient data without the compliance nightmares. Share research findings without sharing the data that generated them. Your compliance officer will bee so relieved.

Government

Air-gapped? No problem. Classified environment? We don't phone home. Zero external dependencies after install. Build institutional knowledge that physically cannot leak because it never leaves your network.


Open Source, Free Forever

STING is open source under the Apache 2.0 license. Download it, run it, modify it, deploy it. No usage limits, no feature gates, no surprise bills.

Desktop

Nectar

Powered by STING

Free

Personal AI on your machine

  • Desktop app (Mac/Win/Linux)
  • Bee AI with local LLMs
  • Unlimited Honey Jars
  • Works 100% offline
  • Connect to STING Server (optional)
  • Community support
Download Nectar
Server

STING Server

Self-hosted Docker deployment

Free

Multi-user, self-hosted

  • Multi-user server deployment
  • Bee AI included
  • Unlimited Honey Jars
  • PII scrambling
  • WebAuthn/Passkey auth
  • Community support
Deploy STING

The Skeptic’s Corner

You absolutely can. And if you enjoy spending weekends building PII detection, auth systems, audit logging, and compliance reporting from scratch, go for it. We'll bee here when you get tired.

What you get with STING: Honey Jar knowledge management, 50+ PII types auto-scrambled, enterprise auth that actually works, audit trails, compliance reports, and a marketplace to sell your expertise. All in one install.

The full breakdown →

From paste-command to asking-questions: yes, about 30 minutes. Full production deployment with all your data organized: 2-5 days. Larger deployments where security reviews everything: 1-2 weeks.

The install script does the heavy lifting. You just answer some questions and watch it work.

Installation details →

After install? Zero internet required. No telemetry. No "phone home." No sneaky API calls. Pull the ethernet cable if it makes you feel better. STING doesn't care.

We built this for environments where "air-gapped" isn't paranoia, it's policy.

Offline details →


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