ActionBoard
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The operating system for the agentic era. Self-contained AI execution environments that bring enterprise-grade AIOps to any team, any scale, any budget. From a single researcher's desktop to a 100-person university lab to a global bank's compliance department.

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  • 150+

    AI tools

  • 5ms

    In-memory ActionGraph

  • Claude, Gemini, Grok+

    Connect to leading AI

  • Local models

    Run on your machine

An AI Pod is a self-contained, managed AI execution environment powered by ActionBoard's RAOARA framework. Every pod includes compute, models, workflows, human-in-the-loop verification, and an immutable audit trail. Everything needed to run production AI operations without building anything from scratch.

  • Intelligence layer

    Pre-configured AI/ML models, action graphs, and the RAOARA six-agent framework (Recognize, Acquire, Organize, Act, Review, Adapt). Every decision logged with Proof of Thought.

  • Human layer

    Researchers, data labelers, SME specialists, and pod leads: the human workforce that trains models, validates outputs, and ensures quality. Managed through ActionBoard's micro-tasking system.

  • Governance layer

    Security isolation, encrypted data environments, compliance audit trails, role-based access, and AIOps maturity tracking. Enterprise-ready from day one, not bolted on after.

The RAOARA loop

  • Bank grade cloud security
  • SME tested, not just AI tested
  • AI agents 5 level security
  • AIOps maturity tracker
  • MCP tools integration
  • Budget management
  • Policy control

Every AI Pod, regardless of tier, passes through a human-led SME assurance layer before it reaches you. Subject matter experts test security settings, validate model configurations, and run evaluation benchmarks. Nothing ships on autopilot. Nothing ships on hope.

Human assurance layer

Choose the pod that matches your scale, privacy needs, and budget. Every tier gets the full ActionBoard intelligence layer.

Tier 1

Shared AIOps Pods

Students, professionals, business teams

Multi-tenant pods for individuals and teams who need intelligent operational assistance without custom infrastructure overhead.

Free to start

Tier 2

Community AI Pods

Universities, schools, non-profits, government

Purpose-built for organizations serving a collective mission. Launch AI Pods that manage institutional goals: research coordination, resource allocation, and community impact.

Free to start

Tier 3

Custom Dedicated Pods

Enterprises, banks, healthcare, defense

Single-tenant, domain-specific pods with full infrastructure isolation. Built to your exact requirements with dedicated SME assurance and custom model configurations.

Custom, starting at $50,000/year

Feature comparison

Feature
Shared
Community
Dedicated
Features
Tenancy
Multi-tenant
Org-dedicated
Single-tenant
Researchers
1 to 10
25 to 100
Unlimited
Model training
Standard
Advanced
Custom
Data privacy
Encrypted workspace
Anonymized + on-prem
Air-gapped
Action graphs
Pre-built
Pre-built + custom
Fully custom
SLA
Community
99.5%
99.9%
Activation
48 to 72 hours
1 to 2 weeks
4 weeks
On-premise option
Not included
Available
Included
Desktop AI Pod
Included
Included
Included
IncludedPartialNot included

Showing all rows

Your personal AI execution environment. Runs locally. Scales to cloud. Mac Mini + Apple MLX + ActionBoard's Voltron agent system gives you single-digit millisecond response times with enterprise-grade security and zero data transfer costs.

Hybrid architecture

Local

  • Voltron 5-Lion Agents
  • MLX Tensor Graph Engine
  • Local Vector Storage
  • Local LLM Runtime
  • Personal Data Vault

Sync rules

You control what flows

Cloud

  • Cloud AI Pod
  • RAOARA Framework
  • University Research Pods
  • SME Marketplace
  • Production Scale

Voltron agent formation

Option A: Set up yourself

Purchase your Mac Mini from Apple or authorized retailers, install Voltron, and configure your local AI Pod. Full control, immediate setup.

  • You own the hardware
  • Instant setup after purchase
  • Full customization control
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Option B: Ship to ActionBoard

Purchase from our hardware partners, ship directly to ActionBoard for pre-configuration, then we ship to you ready-to-run with Voltron pre-installed.

  • Pre-configured by experts
  • Hardware + software tested
  • Arrives ready to connect
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Building AI operations infrastructure from scratch costs 3 to 5x more and takes 12 to 18 months. AI Pods give you enterprise-grade capabilities in weeks, not years.

  • $25K

    100-person AI Lab

    Launch a fully operational university AI research lab with 100 researchers, training infrastructure, and RAOARA framework access, at a fraction of traditional infrastructure costs.

  • 6x

    More researchers per dollar

    ActionBoard AI Pods enable 6x more researchers to participate in AI operations training compared to traditional compute budgets. Expand your team without expanding your infrastructure.

  • 12 wks

    To first results

    From contract signature to first production action graphs running in your environment. No 18-month buildouts. No hiring DevOps teams. Just working AI operations infrastructure.

Cost to build vs. buy

Build in-house

Year 1 total cost including infrastructure, hiring, training

$250K to $450K+

  • Infrastructure setup: $80K to $150K
  • ML engineers + DevOps: $120K to $200K
  • Model training compute: $30K to $60K
  • Security and compliance: $20K to $40K

ActionBoard AI Pods

Year 1 total cost for 100-person Community AI Lab

$75K to $105K

  • Community AI Pod: $25K/year
  • Desktop AI Pods (hardware): $30K to $50K
  • Model training credits: $15K to $20K (included)
  • SME assurance: Included

Save $175K to $345K in Year 1

Deploy faster, scale smarter, and redirect savings to research and innovation

Whether you're a solo researcher experimenting locally, a university launching an AI lab, or an enterprise deploying mission-critical AIOps, there's an AI Pod for you. Start small, scale smart, and build the future of intelligent operations. ActionBoard.ai: the operating system for the agentic era.

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