AI agent platform services on OpenClaw
OpenClaw, productionized and operated.
AI agent platform engineering on OpenClaw, the open-source agent runtime created by Peter Steinberger. Cubitrek deploys it, hardens it, builds your custom skills, and runs it 24/7 so your team gets the output without running the runtime.
- < 2 wkto first OpenClaw deployment
- Self-hostedso the bill does not scale with your success
- Replayabletrace on every run
- Opensource core, no per-task pricing
OpenClaw is an open-source agent runtime, created by Peter Steinberger, that connects models like Claude, GPT-5, DeepSeek, and Gemini to real actions: browsing, file management, code execution, and multi-step workflows. Cubitrek does the platform engineering around it: deployment on your cloud or ours, security hardening, custom skills, an MCP gateway, and 24/7 managed operations under a 99.9% uptime SLA. OpenClaw is free and open source, which means you can run it, if you have a team that knows how. Most companies do not. We are the OpenClaw team most companies cannot hire: senior engineers who have shipped OpenClaw into production for revenue teams, with the security hardening, multi-agent orchestration, and 24/7 managed ops to match.
What we ship
Everything under one roof.
OpenClaw deployment
Deploy OpenClaw on AWS, Azure, GCP, or on-prem. Dockerized, Kubernetes-ready, with your models (Claude, GPT-5, DeepSeek, Gemini, or open-source) wired in. Production-grade from week one.
Custom skills development
Build the skills OpenClaw does not ship with. CRM connectors, industry-specific document processors, proprietary API integrations, vertical workflows. Versioned, tested, documented.
Multi-agent orchestration
Coordinate multiple OpenClaw agents for complex workflows. Supervisor agents, parallel execution, cross-agent memory, and recovery from failure. The orchestration plane most teams never get to.
Security and governance
Prompt-injection defense, sandboxed execution, secrets management, role-based access, full audit logs. SOC 2 and GDPR-aligned out of the box.
Migration from Zapier, n8n, Make
Turn your existing no-code workflows into OpenClaw skills. Cheaper to run at scale, easier to extend, no per-task fees. Typical clients cut their automation bill 60-80% within the first quarter.
Managed operations
24/7 monitoring, model upgrades, skill updates, cost optimization, and incident response. On-call engineer included. Your OpenClaw keeps running while you focus on outcomes.
Observability and evals
Per-skill latency, cost, and success-rate dashboards. Eval harness for every skill so regression in model output gets caught before it ships. Drift and cost anomalies paged to on-call.
Self-hosted MCP servers
Expose your OpenClaw skills as Model Context Protocol endpoints other agents can call. Your skills become reusable across the agent economy instead of trapped in one runtime.
Workflow migration audit
A 7-day audit of your existing automation stack (Zapier, n8n, Make, custom scripts) with a per-workflow cost vs. OpenClaw-replacement projection. Decide what to migrate first based on data, not intuition.
How we operate OpenClaw
The stack around the runtime.
OpenClaw alone is a runtime. A production OpenClaw deployment needs observability, evals, security, multi-agent orchestration, and skill lifecycle management wrapped around it. We ship all of it.
Skill factory
Turns a business requirement into a tested OpenClaw skill in 3 to 10 days.
- Trigger
- New workflow request from the business team.
- Output
- Versioned, documented, eval-tested skill deployed to your OpenClaw instance.
Orchestration plane
Routes tasks to the right OpenClaw agent or agent team, handles retries, state, and recovery.
- Trigger
- On any business event from your systems.
- Output
- Tasks executed reliably across one or many OpenClaw agents.
Observability pipeline
Tracks every OpenClaw action, latency, cost, and success rate.
- Trigger
- Every action, continuously.
- Output
- Per-skill and per-agent dashboards. Drift and cost anomalies paged to on-call.
Security envelope
Sandboxes OpenClaw execution, validates tool calls, redacts secrets, and blocks prompt-injection attempts.
- Trigger
- Every tool invocation.
- Output
- Runbook-level audit log, zero-trust execution.
Eval harness
Runs regression tests on every skill before promotion. Catches model-version drift, prompt regressions, and tool-call failures.
- Trigger
- On every skill deploy and weekly across the live skill catalogue.
- Output
- Pass/fail report per skill, blocked promotion when regressions detected.
MCP gateway
Exposes your OpenClaw skills as Model Context Protocol endpoints other agents can call.
- Trigger
- Skill marked as 'external' in the catalogue.
- Output
- Public or auth-gated MCP endpoint with auto-generated tool schema.
We operate OpenClaw in production for more than a dozen teams. We know where it breaks.
How we work
How the work actually runs.
- 01
Deploy
Stand up OpenClaw on your cloud or ours in 1 to 2 weeks. Models connected, access controlled, observability on, security envelope live. First skill scoped before the runtime ships.
- 02
Build skills
Three to five custom skills for your highest-leverage workflows. Versioned, eval-tested, documented. Migration paths from Zapier/n8n/Make included where relevant.
- 03
Orchestrate
Wire skills into multi-step flows. Supervisor agents handle complex workflows end to end. MCP gateway exposes skills externally where you want other agents to call them.
- 04
Operate
24/7 managed operations. We own uptime, cost, security, and skill lifecycle. You own the outcomes. Quarterly architecture review and roadmap refresh included.
What good looks like
Representative outcomes.
Directional numbers from real programs. On the call we walk through the case studies behind them, method included.
- to a first skill running in production
- < 2 wkto a first skill running in production
- so the automation bill does not scale with your success
- Self-hostedso the automation bill does not scale with your success
- trace on every run, so a failure can be reproduced
- Replayabletrace on every run, so a failure can be reproduced
Who we serve
Categories we already know.
- SaaS
- E-commerce
- Financial services
- Legal
- Healthcare
- Real estate
- Professional services
- Manufacturing
- Logistics
What clients say
I was particularly impressed by their creative approach and attention to detail.
Videography & photography company · website, SEO + design
They delivered the project on time.
Watch retailer · Shopify store build
Cubitrek always had a positive mindset and was kind.
Personal training company · video + social media
Questions buyers ask us.
- OpenClaw is a free, open-source autonomous AI agent platform that connects LLMs (Claude, GPT-5, DeepSeek, Gemini) to real-world actions: browsing, file management, code execution, multi-step workflows. Created by Austrian developer Peter Steinberger in November 2025, it became one of the most widely adopted open-source agent platforms within months. The license, the active community, and the skill ecosystem make it the default AI agent platform most teams should evaluate before paying for a proprietary alternative.
- The runtime is free; a production deployment is not. You need infrastructure, security, custom skills, observability, eval harness, multi-agent orchestration, and someone on-call when things break. Most teams spend 6 to 12 months learning what we already know. We compress that to weeks and operate the runtime 24/7 so your team focuses on outcomes, not infrastructure.
- Zapier and Make are no-code workflow tools with per-task pricing, ideal for simple flows under 10,000 runs/month. n8n is self-hostable but still imperative-flow oriented. OpenClaw is a code-first agent runtime with LLM reasoning built in, better for complex workflows, high volume, and anything requiring judgment. Most clients use Zapier for lightweight triggers and OpenClaw for the heavy work. We run a 7-day audit to tell you exactly what to migrate first.
- LangChain, CrewAI, and AutoGen are agent libraries you assemble into a runtime. OpenClaw is the runtime itself, built on top of similar primitives, but ships with deployment, security, observability, and skill lifecycle out of the box. For teams that want to assemble their own runtime, the libraries are fine. For teams that want production-ready agents in 2 weeks, OpenClaw plus our managed service is the shortest path.
- Browse and interact with websites, send emails, manage files, execute code in sandboxed environments, call APIs, process documents, drive multi-step workflows across your tool stack, and coordinate other agents via Model Context Protocol. Anything with a UI or an API is fair game. The Cubitrek skill catalogue covers CRM operations, support deflection, document automation, marketing ops, finance workflows, and a long tail of vertical use cases.
- Out of the box, OpenClaw is as secure as you configure it. Our deployments ship with sandboxed execution, prompt-injection defenses, secrets management, role-based access, and full audit logging. Compliant with SOC 2 and GDPR requirements when deployed to our standards. We have shipped OpenClaw into regulated environments (legal, fintech, healthcare) without security incidents over 12 months of operation.
- The runtime is free. Infrastructure (cloud, LLM API calls) typically runs $500 to $5,000 per month depending on volume and model mix. Our managed service is priced on scope. We quote after a short scoping call.
- Basic deployment: 1 to 2 weeks. First production skill live: 3 to 4 weeks. Multi-agent system running 5+ workflows: 8 to 12 weeks. We ship in 1-week increments with weekly demos so the business sees velocity from week one.
- Yes. Our MCP gateway exposes any OpenClaw skill as a Model Context Protocol endpoint other agents can call. Your skills become reusable across the agent economy: a sales agent built on Claude can call your OpenClaw-hosted lead-enrichment skill, your support agent on GPT-5 can call your OpenClaw-hosted ticket-triage skill. Skills get versioned, auth-gated, and rate-limited via the gateway.
- Yes. The Enterprise tier supports multi-region (US, EU, APAC) and multi-tenant deployments with data-plane isolation. Common pattern for SaaS clients that need to give their own customers OpenClaw-powered features without cross-tenant data exposure.
- You own the deployment. OpenClaw is open source, your skills are your code, your data stays in your cloud account. We hand over runbooks, documentation, and ops scripts. Engagement is month-to-month with 30-day notice. The whole point of choosing OpenClaw over a proprietary platform is that you are never locked in.
- Yes. Most engagements start with one or two high-value skills under the Setup tier, then move to Managed once production usage justifies the operating overhead. Enterprise makes sense once you are running multi-agent orchestration across 5+ business units or 100,000+ tasks per month.
Ready when you are
Ready to start openclaw services?
A 15-minute call. We map the goal, look at what exists, and come back with a scoped plan.