amazee.ai

amazee.ai Our Private AI gives you compliance, privacy, and data sovereignty across your organization.

We balance ease of use and privacy while enabling content, deployment, and other AI-supported workflows.

Philipp Melab gave 6 AI coding agents the same task he himself completed in 14 hours.One impressed with 80% cost savings...
11/06/2026

Philipp Melab gave 6 AI coding agents the same task he himself completed in 14 hours.

One impressed with 80% cost savings.
Two others? Actually cost MORE than writing it manually.

The surprising part wasn't the token costs. It was what happened when he measured the real metric: how long it took to fix what the agents built.

Turns out, AI agents systematically ignore your beautifully written documentation. But they'll perfectly copy the messy pattern they find in a neighboring file.

And some literally faked network latency with setTimeout() instead of... you know... actually calling the API.

The full breakdown of what worked, what failed spectacularly, and why "lines of code generated" is possibly the worst metric you could use:

I pitted myself against 6 AI agents in a strict TypeScript repo. Discover why some models saved 80% while others were a net-negative expense.

Your AI experiment worked.Now legal says you can't ship it.The problem probably isn't the AI model you're using. It's th...
10/06/2026

Your AI experiment worked.

Now legal says you can't ship it.

The problem probably isn't the AI model you're using. It's the infrastructure you’re using it in.

Multi-tenant gateways route your prompts through shared systems. Your proprietary data sits on someone else's hardware, crossing borders you didn't authorize. When compliance asks where your data lives, "the cloud" isn't an acceptable answer.

Finance teams, healthcare organizations, and legal departments hit this wall every quarter: AI tools that boost productivity by 40% get blocked because the underlying gateway can't guarantee data sovereignty.

We built our Private AI Gateway to solve this exact problem.

Full isolation. Zero shared resources.

- Run in your private cloud (AWS, Azure, GCP) or on-premises
- Pin workloads to specific sovereign regions (CH, US, UK, DE, AUS)
- ISO 27001, SOC 2 Type II, GDPR and HIPAA-compliant
- Zero Data Retention by default - no prompts logged, never used for training
- OpenAI-compatible API (swap your endpoint, keep your code)

Your security team gets audit-ready infrastructure. Your developers keep their existing integrations. Your organization ships AI to production without sacrificing compliance.

If you're tired of choosing between innovation and governance, it's time for a different architecture.

Learn more:

Secure your LLM models with a Private AI Gateway. amazee.ai offers a managed Enterprise API Gateway with data sovereignty, the upgrade your API gateway needs.

Our Founder & GM, Michael Schmid, and Head of Product, Lauren Morris, are heading to   in New York tomorrow.They won't b...
08/06/2026

Our Founder & GM, Michael Schmid, and Head of Product, Lauren Morris, are heading to in New York tomorrow.

They won't be on stage, but they'll be around for the summit. If you're curious about privacy-first AI infrastructure or just want to talk about what it takes to ship real-world AI at scale, grab them for a cup of coffee and a chat. ☕

"We'd love to use AI agents, but our security team won't sign off."Sound familiar?OpenClaw is one of the fastest-growing...
04/06/2026

"We'd love to use AI agents, but our security team won't sign off."

Sound familiar?

OpenClaw is one of the fastest-growing AI agent frameworks on GitHub (377,000 stars), but self-hosting it means wrestling with Docker, SSL, port forwarding, and security hardening. Most people give up.

amazeeClaw solves that. It's OpenClaw, but fully managed, and production-ready in under 60 seconds.

What you get:
🔹 Private container with GDPR/ISO/SOC 2 Type II compliance
🔹 Pre-configured VectorDB memory (no more lost context)
🔹 Private frontier LLMs (Claude, GPT, Gemini) already connected
🔹 24/7 monitoring, automated updates, daily backups
🔹 Connect to Telegram, WhatsApp, Slack, or use built-in chat

14-day free trial, then $25/month + tokens.

Your data stays in your selected region (EU, US, or AU).
Zero logging.
Zero staff access unless you consent.

Start here:

Enterprise-grade OpenClaw hosting on private containers. Includes SQLite VectorDB, Claude 4.5 Sonnet access via private AI gateway, and 24/7 infra monitoring

Most teams face a false choice: use the best AI models or maintain data sovereignty.Our Private AI Gateway eliminates th...
03/06/2026

Most teams face a false choice: use the best AI models or maintain data sovereignty.

Our Private AI Gateway eliminates that trade-off. Access GPT-4, Claude, Gemini, and Llama through a single OpenAI-compatible endpoint deployed in your region (CH, DE, UK, US, AU). Zero data retention. Zero training on your inputs. ISO 27001 and SOC 2 Type II certified.

Unlike multi-tenant gateways, where your data shares infrastructure, we run a dedicated regional environment. Works with the AI tools you already use, OpenClaw, Cursor, n8n, Open WebUI, drop in our Base URL, and you're production-ready.

Self-serve setup in minutes.

The best private AI gateway for secure teams. Drop-in OpenAI-compatible API for frontier models. Private regional containers, zero retention, and self-serve.

Humans don't have unlimited energy. AI doesn't have unlimited memory. If you're running multiple Claude instances for di...
01/06/2026

Humans don't have unlimited energy. AI doesn't have unlimited memory. If you're running multiple Claude instances for different projects, you're probably re-explaining context every time you switch.

Lauren Morris, our Head of Product, is co-hosting a free webinar that tackles this exact problem. "Two Claudes, One Context" shows how to consolidate scattered context into one source of truth, so your AI agents stay aligned without constant re-briefing.

You'll learn:
- How to build shared context that persists across multiple agents
- Two practical methods: one for non-technical users, one for Slack integration
- How to stop wasting time chasing context and focus on your actual work

📅 June 3rd | 4 PM EDT

→ We're fans of practical AI workflow improvements, and Lauren's joining Laura Ackerman to share real approaches that work.

🔗

Humans don't have unlimited energy and AI doesn't have unlimited memory. We'd rather focus on our ideas instead of chasing context and are guessing you would too.

Most AI gateways route your requests through shared infrastructure. For regulated teams, that's not a privacy feature; i...
28/05/2026

Most AI gateways route your requests through shared infrastructure. For regulated teams, that's not a privacy feature; it's a compliance blocker.

👉 Today, we're launching the Private AI Gateway: OpenAI-compatible access to GPT, Claude, Gemini, Mistral, and Llama through dedicated environment isolation in your chosen region. 🥳

The difference?
→ Region-locked by architecture: Pick Switzerland, Germany, UK, US, or Australia; requests are served from private environments in that jurisdiction
→ Zero retention by default: No prompts, files, or outputs logged or stored. Stateless gateway with no memory layer.
→ One API, many models: Switch between frontier models without switching providers, contracts, or integrations

Built on amazee.io infrastructure (10 years, 130+ enterprise clients). ISO 27001 and SOC 2 Type II certified. Verifiable on our Trust Portal.

Drop-in OpenAI-compatible endpoint. Works with OpenClaw, Cursor, LibreChat, Open WebUI, n8n, and any tool that accepts a custom API base URL.

Self-serve Core tier: pay per token, no minimums, no per-seat licensing.
Enterprise tier: dedicated clusters, custom TPM/RPM, DPAs, 99% uptime SLA.

For teams that can't afford to "move fast and break things" with sensitive data.

The best private AI gateway for secure teams. Drop-in OpenAI-compatible API for frontier models. Private regional containers, zero retention, and self-serve.

🌊 DB Schenker was drowning in emails, exception rules, and manual reports.Hundreds of daily emails requiring manual clas...
27/05/2026

🌊 DB Schenker was drowning in emails, exception rules, and manual reports.

Hundreds of daily emails requiring manual classification. Client-specific workflows hard-coded one exception at a time. Reports that took days to compile from multiple sources.

This is what enterprise logistics looks like before AI automation.

We (in partnership with Qdos Digital Solutions built three solutions:

→ Intelligent email triage: Auto-categorizes incoming messages, generates summaries, and routes to the right inbox. If it's automatable (like fetching a document), staff just review and hit reply.

→ Dynamic business rules engine: Teams add rules in plain English. The AI interprets them and routes documents accordingly. Minutes instead of weeks to handle new exceptions.

→ Conversational reporting: Generate tailored PDFs with charts on demand. Need to shift focus to sustainability metrics? Add a new graph? Just ask.

The result: Hours reclaimed weekly. Teams empowered to adapt workflows without custom development.

"They're intelligent, techy, and not salesy at all. Support is quick, often over Slack, and they've been right there with us in beta testing. It feels like we're working with a partner on our wavelength." – David Hasell, Qdos Digital Solutions

Read the full case study:

DB Schenker partnered with Qdos and amazee.ai to automate email triage, exception handling, and reporting—empowering teams with secure, enterprise-grade AI.

Your developers want to use OpenClaw. IT won't approve it.The blocker isn't technical; it's compliance. Data residency r...
26/05/2026

Your developers want to use OpenClaw. IT won't approve it.

The blocker isn't technical; it's compliance. Data residency requirements. Privacy regulations. Vendor approval processes that take six months.

Autonomous agents are the real ROI drivers in AI, but most teams can't deploy them because the infrastructure doesn't meet enterprise security standards.

In this on-demand webinar, Michael Schmid and Thomas Schröpfer walk through our solution:

→ How to host OpenClaw on ISO 27001/SOC 2 compliant infrastructure
→ Guaranteed data residency (EU, US, or AU)
→ Private LLM access without exposing your data
→ Live demo: provisioning a managed instance in seconds

🧑‍🎓 You'll learn:
✓ Why IT blocks AI tools (and how to solve it)
✓ How to access Claude and other frontier models securely
✓ The difference between hosted and truly private AI infrastructure

This is for engineers who've been running OpenClaw locally and agencies building AI workflows for clients who demand data sovereignty.

Catch the webinar on-demand: https://hubs.la/Q04hSP7C0 🦞

Managed OpenClaw hosting webinar: April 29, 2026. Discover how to deploy private AI agents with regional data residency and enterprise-grade SOC 2 compliance.

OpenClaw is brilliant. Self-hosting it is brutal.Docker configs. SSL certificates. Port forwarding. Security hardening. ...
25/05/2026

OpenClaw is brilliant. Self-hosting it is brutal.

Docker configs. SSL certificates. Port forwarding. Security hardening. Memory file limitations. Most people give up before their first chat.

amazeeClaw fixes that.

→ Private container ready in 60 seconds
→ Claude Sonnet 4.5 already connected
→ VectorDB memory (not broken .md files)
→ GDPR/ISO/SOC2 compliant by default
→ 24/7 monitoring, automated updates, daily backups

No terminal. No config files. Just open a browser and start.

14 days free. $25/month after. EU, US, or AU region.

Start your free trial: https://hubs.la/Q04hBWVN0 🦞

Enterprise-grade OpenClaw hosting on private containers. Includes SQLite VectorDB, Claude 4.5 Sonnet access via private AI gateway, and 24/7 infra monitoring

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Hardturmstrasse 161
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