AI Crew Labs OpenClaw-native AI workforce platform
Talk to Sales Book a Demo
Build your AI workforce with control

Deploy OpenClaw-powered AI employees in one click.

AI Crew Labs turns advanced agent infrastructure into a premium, usable product. Create AI employees with identity, memory, workspaces, and secure execution environments, then run them in coordinated teams without hiring an IT department to wire everything together.

Book a Live Demo See pricing
OpenClaw-native foundation Cloud + local model support Sandboxed container execution Group chat and shared memory

AI Crew Labs is a brand of RB-Ventures LLC.

Crew Command Center

Hybrid fleet
Active employees 12 9 cloud, 3 local
Autonomous runs today 184 94% completed cleanly
Average response time 2m 18s Across chat and channels

Crew roster

Stable
Ada Research strategist
GPT-4.1 Live
Marshal Ops coordinator
Llama 3.3 local Running
Sora Customer intelligence
Claude Sonnet Ready
Niko Workflow automations
Mistral local Live

Recent activity

Shared memory on
  • 03:14 PM

    Marshal launched a supplier audit in a sandboxed container.

  • 03:09 PM

    Ada posted a board memo draft to the GTM workroom.

  • 02:56 PM

    Sora synced fresh buyer signals from the demo request channel.

Direct chat with Ada
Summarize competitor pricing and note any move we should respond to.
I started a pricing scrape in a sandbox, stored sources in the workspace, and tagged the board-ready summary for review.
workspace linked 2 sources attached
One-click deployment Ready
1 Role + identity configured
2 Hybrid model policy selected
3 Sandbox and channels verified
Why this matters now

AI agents are powerful. Operating them still feels harder than it should.

Businesses want always-on digital staff. Builders want control, privacy, and infrastructure ownership. Most tools force one audience to compromise. AI Crew Labs closes that gap by making advanced agent operations feel clear, fast, and intentional.

01

Too many moving parts

Models, sandboxes, channels, memory, permissions, and orchestration often live in separate tools. AI Crew Labs brings them into one operational layer.

02

Generic bots do not feel trustworthy

Teams need employees with defined roles, consistent identity, clear context, and a place to work, not a pile of disconnected prompts.

03

Control should not require a specialist

OpenClaw gives you a powerful foundation. AI Crew Labs turns that foundation into a click-once experience that is easier to deploy, govern, and scale.

Core platform

A premium control plane for your AI workforce.

Every AI employee is OpenClaw-powered and ready to work across chat, group collaboration, scheduled operations, and supported communication channels.

OC

OpenClaw-native from day one

Built around OpenClaw instead of bolted onto it, so the product feels native to the underlying runtime, workflows, and deployment model.

1C

Click-once deployment

Configure the role, workspace, models, memory, channels, and safety posture once, then launch an employee without manual infrastructure stitching.

HY

Cloud + local model flexibility

Use frontier models for premium reasoning, local open-source models for privacy and resilience, or combine both through policy-driven hybrid routing.

SB

Secure sandboxes and control

Keep work contained inside sandboxed containerized environments with clearer boundaries, scoped permissions, and operational visibility.

Employee architect

Design AI employees with identity, personality, and the right tools.

Treat each agent like a real digital team member. Define the role, working style, memory access, workspace, model strategy, channels, and permissions in one coherent flow.

  • Identity, role, personality, and communication style
  • Workspace, memory sources, and artifact destinations
  • Per-employee model selection with hybrid overrides
  • Permission review before deployment

Employee creation flow

Draft 04

Create employee

Step 3 of 5
Ada Vale
Market research strategist
Calm, sharp, source-driven, confident with uncertainty, board-ready in tone.
Growth / Intelligence
Shared + role memory
Platform chat, email digest
Claude Sonnet

Deployment review

Container profile Research-safe
Network scope Allowlisted
Artifacts /crew/ada/outputs
Escalation Manager approval for send

Personality chips

Executive-ready Source faithful Low fluff Collaborative

Workroom: Quarterly launch plan

3 employees active
Ada Pulled category movement from three competitors. Drafting the narrative now.
Marshal I opened a sandbox run for data cleanup and added the artifact folder to the room.
You @Sora turn this into buyer-facing messaging after Ada finishes the market note.
Sora On it. I will align the messaging with recent demo-request language and attach headline options.

Assigned

Pricing delta analysis
Channel notes digest

In motion

Board memo draft
Message hierarchy options

Artifacts

summary.md
competitors.csv
launch-brief.pdf
Collaboration

Let employees work alone when needed and coordinate when the task gets bigger.

AI Crew Labs supports direct chat, group conversations, shared context, and task coordination. Employees can collaborate in workrooms, hand off subtasks, and publish structured outputs into shared artifact folders.

  • Direct chat with individual employees
  • Multi-agent group conversations with mentions and handoffs
  • Shared memory and selected context between workers
  • Artifacts, logs, and timestamped folders for every task
Outputs and traceability

Every task leaves behind a workspace you can inspect.

Review what was run, what was produced, which sources were used, and where the results live. That makes AI work easier to trust, audit, and improve over time.

Artifact explorer

Task 2026-03-13-114
/2026-03-13-114
summary.md
sources.json
execution.log
report.pdf

summary.md

Key shifts in competitor pricing with recommended response paths.

Memory map

Role + shared context

Role memory

Voice, reporting structure, recurring workflows, approvals.

Shared memory

Team priorities, common facts, current initiatives, live channels.

Task context

Attached files, message history, recent outputs, active constraints.

For businesses

Give teams always-on digital employees that actually feel operational.

Move beyond generic AI chat tabs. Build specialized employees for research, operations, support, analytics, internal reporting, and coordination, then manage them from a single control plane.

Revenue and growth

Market intelligence employees monitor shifts, prepare summaries, and keep go-to-market teams informed.

Operations and support

Route requests, compile status updates, and run repeatable internal processes without constant manual prompting.

Executive leverage

Turn raw inputs into board-ready briefs, tracked artifacts, and organized action lists around the clock.

Infrastructure ownership

Keep your control plane self-hosted, choose where inference runs, and preserve the freedom to adapt the stack.

Privacy and resilience

Local open-source models help with cost control, data locality, offline operation, and reduced dependency on outside APIs.

Technical credibility

Sandboxed execution, scoped permissions, and operational visibility make the system feel like infrastructure, not theater.

For self-hosting builders

Use premium product ergonomics without giving up control.

AI Crew Labs is built for the people who care where their models run, what their agents can access, and how work is executed under the hood. Keep the depth. Lose the setup pain.

Cloud + local models

Choose the model strategy that fits the moment instead of forcing one answer.

Use cloud models when you need frontier reasoning, premium writing quality, or specialized capability. Use local open-source models when privacy, lower marginal cost, resilience, offline operation, or infrastructure ownership matter most.

  • Hybrid routing policies for quality, cost, and privacy
  • Per-employee defaults with task-specific escalation paths
  • Local-first operation where ownership matters most
  • Cloud burst capacity when the work demands it

Model policy composer

Hybrid enabled

Cloud lane

Frontier reasoning Default for strategy

Best for ambiguity, writing quality, complex synthesis, and premium reasoning depth.

Capability bias

Local lane

Open-source local Preferred for private data

Best for privacy-sensitive workflows, predictable cost, resilience, and infrastructure ownership.

Privacy + resilience bias

Routing rules

Customer PII present Route local
Board memo requested Route cloud
Offline fallback Local only
Cost cap exceeded Degrade gracefully

Security and sandbox policy

Container boundary active

Execution profile: Research-safe

Compliant
Container isolation Enabled Per-run ephemeral workspace
Filesystem scope Scoped /crew/ada and approved outputs
Network policy Allowlist 5 trusted domains
Outbound actions Approval gated Human review for send

Live checks

  • Container runtime healthy
  • Secrets injection locked
  • 1 permission request pending
  • No policy drift detected
Security and control

Give employees room to work without losing operational boundaries.

Sandboxed containerized execution is part of the product story, not an afterthought. AI Crew Labs helps teams run capable workers with clearer scopes, safer execution posture, and the visibility needed for real adoption.

  • Isolated execution environments for safer task runs
  • Scoped permissions and controlled access patterns
  • Visibility into health, alerts, and deployment state
  • Operational policies that make self-hosting more practical
Automations and monitoring

Run your crew on a schedule, watch health in real time, and keep work moving.

AI employees are more valuable when they can operate continuously. Automate recurring jobs, launch workflows on triggers, and track the health of each worker, channel, and deployment from one dashboard.

Channels and integrations

4 connections verified
Platform chat

Primary direct and group collaboration surface

Mapped to all employees
Email digest

Marshal sends reviewed summaries at 6:00 PM

Verified
Support queue

Sora monitors tagged requests and escalates P1 events

Rules active

Automation scheduler

7 active jobs
06:00

Competitive pricing scan

Daily
10:30

Lead signal digest to growth room

Weekdays
Event

Escalate support cluster with P1 tag

Trigger

Health monitor

Fleet stable
Deployments healthy 11 / 12
Queue throughput 82 tasks/hr
Pricing and rollout paths

Choose the operating model that matches your crew, your risk profile, and your ambition.

AI Crew Labs is packaged for teams who want fast value, buyers who need operational confidence, and self-hosters who want deeper control. Start with the path that fits now, then expand as your workforce grows.

Crew Launch

For focused teams shipping their first AI employees.

Cloud-first
$750 starting monthly

Ideal for operators, founders, and innovation teams who want to launch a small but credible AI crew fast.

  • Up to 5 AI employees
  • Platform chat, workrooms, and shared memory
  • Managed onboarding and deployment review
  • Cloud model policies with artifact history
Book launch demo
Crew Ops

For businesses running coordinated digital employees across functions.

Most popular
$2,400 starting monthly

Best for teams that want multiple employees, operational visibility, and a cleaner path from pilot to always-on production use.

  • Up to 20 AI employees and hybrid workrooms
  • Automations, scheduling, and health monitoring
  • Cloud + local model routing policies
  • Security review, approvals, and audit visibility
See a live walkthrough
Sovereign Crew

For self-hosted, local-first, and compliance-sensitive deployments.

Custom
Custom scoped with your architecture

Designed for teams that need self-hosted control planes, deeper local model ownership, tighter sandbox policies, and deployment advisory.

  • Self-hosted control plane planning
  • Local model and hybrid routing design
  • Security posture and sandbox policy tuning
  • White-glove onboarding with architecture review
Talk architecture
How buyers usually decide

Match your path to the operating question you need answered first.

Talk through fit
I need to prove business value quickly. Crew Launch
I need multiple AI employees working across teams. Crew Ops
I care deeply about self-hosting, privacy, and local inference. Sovereign Crew
I want help designing the right mix of cloud and local models. Ops or Sovereign
Crew sizing estimator

Model how much operational load your first AI crew could absorb.

Use a simple planning model to estimate recovered hours, potential monthly value, and the size of the first crew worth piloting. It is not meant to be hype. It is meant to help buyers size the opportunity with more clarity.

  • Estimate repetitive work worth delegating first
  • Model blended labor cost and monthly recovered time
  • See a recommended starting crew size
  • Map the result back to Launch, Ops, or Sovereign rollout paths
Monthly hours recovered 165 worth redeploying into higher-value work
Estimated monthly value $10.7k based on current labor assumptions
Suggested first crew 2 AI employees Best fit: Crew Launch
Book a live demo

See how your first crew would actually be designed, deployed, and governed.

A live demo is the fastest way to understand fit. We will tailor the walkthrough to your team, model strategy, security posture, and rollout goals.

01. Crew design review

Map your first employees, roles, memory, and workrooms.

02. Deployment walkthrough

Show how OpenClaw-powered employees go live in one click.

03. Model and security fit

Discuss cloud vs local models, sandbox policies, and rollout shape.

04. Packaging and next steps

Leave with a recommended path and a tailored follow-up brief.

Tell us what you need

Build a tailored request in three quick steps

Response target Within 2 business days
1 Basics
2 Crew plan
3 ROI fit

Start with the basics and we will tailor the next steps around your buying intent.

Contact and buying paths

Reach the right conversation quickly.

Whether you need rollout guidance, custom architecture planning, or a direct conversation about fit, AI Crew Labs gives you a cleaner way to start.

Sales and rollout

Talk to the team about deployment fit, pricing, and rollout shape.

Best for teams comparing paths, validating internal use cases, or preparing a pilot.

Book a live demo
Sovereign architecture

Discuss self-hosting, local models, privacy posture, and custom deployment scope.

Ideal for builders and technical teams planning a self-hosted or hybrid operating model.

Partnerships and other inquiries

Use one direct line for strategic conversations, partnerships, and general contact.

Contact AI Crew Labs through RB-Ventures LLC for broader business conversations.

Email hello@aicrewlabs.com
FAQ

Questions serious buyers and builders usually ask first.

What exactly is an AI employee in AI Crew Labs?

It is an OpenClaw-powered worker with a defined identity, role, personality, workspace, memory, and execution policy. Instead of acting like a generic bot, it behaves like a specialized digital team member with context and boundaries.

Do I need an IT team to get started?

No. The product is designed to reduce setup friction through a click-once deployment experience. Technical depth is still available, but the default path is intentionally simpler than stitching the system together by hand.

Why support both cloud and local models?

Because the right answer depends on the task. Cloud models bring frontier capability. Local open-source models help with privacy, resilience, predictable cost, offline operation, and infrastructure ownership. AI Crew Labs is built to let you use both.

How do employees collaborate?

Through direct chat, group conversations, shared context, shared memory, workrooms, task handoffs, and artifact-based outputs. They can operate independently or coordinate as a team around larger goals.

Where does OpenClaw fit in?

OpenClaw is the underlying platform powering each AI employee. AI Crew Labs builds a premium product layer on top of that foundation to make deployment, management, collaboration, and operational control easier.

Is this only for self-hosting enthusiasts?

No. It is built for both technical self-hosters and businesses that want always-on AI employees. The product balances accessible workflows with genuine infrastructure credibility.

Build your crew

Move from curiosity to a real deployment path.

Explore packaging, book a tailored walkthrough, or start a direct architecture conversation. The platform is ready for business buyers and self-hosting operators alike.

Book a Demo See Pricing
Cloud-first, hybrid, and local-first paths AI Crew Labs is a brand of RB-Ventures LLC

Ready to plan your AI workforce?

See pricing Book demo Talk to sales