OpenClaw Implementation

Go from zero to a production-ready AI agent in days, not months.

We deploy OpenClaw end-to-end — server provisioning, Docker containerization, messaging integration (WhatsApp, Telegram, Slack, Discord), LLM configuration (Claude, GPT, Gemini, or local models via Ollama), security hardening, and go-live. ECOSIRE handles the infrastructure so you can focus on using your AI agent, not managing it.

Our Process

Discovery

Understand your workflows, tool stack, messaging preferences, and automation goals.

Infrastructure Setup

Provision servers, deploy OpenClaw in Docker, configure networking, reverse proxy, and SSL.

Integration & Skills

Connect messaging apps, configure LLM providers, install and test relevant skills.

Hardening & Launch

Security audit, credential isolation, monitoring setup, team onboarding, and go-live.

Key Benefits

Production-Ready in Days

A fully configured, secure OpenClaw instance — not weeks of trial-and-error setup.

Any LLM, Any Platform

Claude, GPT, Gemini, DeepSeek, or local models via Ollama — we configure the right model for your needs and budget.

Messaging-First

Control your AI agent from WhatsApp, Telegram, Slack, Discord, or Signal — the apps your team already uses.

Security by Default

Docker isolation, non-root execution, credential management, and reverse proxy auth from day one.

What's Included

Docker-based deployment (cloud or on-premises)

Messaging integration (WhatsApp, Telegram, Slack, Discord, Signal)

LLM provider configuration (Anthropic, OpenAI, Google, Ollama)

Reverse proxy setup with authentication (Caddy/Nginx)

Skill installation and configuration

Persistent memory and context setup

Monitoring and logging infrastructure

Team onboarding and documentation

Frequently Asked Questions

How long does an OpenClaw implementation take?

A standard deployment with messaging integration and core skills is typically ready in 3-5 business days. Complex setups with custom skills, multiple agents, or enterprise security requirements may take 1-2 weeks.

Do I need my own server?

We can deploy OpenClaw on your existing infrastructure (AWS, GCP, Azure, DigitalOcean) or on-premises servers. If you do not have infrastructure, we can provision and manage it for you as part of the implementation.

Which LLM should I use?

It depends on your use case and budget. Claude excels at reasoning and coding tasks, GPT-4o is strong for general automation, and local models via Ollama offer maximum privacy. We help you choose during discovery and can configure multiple models for different tasks.

Get OpenClaw Deployed

Tell us about your requirements and we will get back to you within 24 hours with a tailored proposal.