Dust vs Air AI

Side-by-side comparison of features, pricing, and ratings

Analysis generated Live tool data as of 2026-11-13
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Dust or Air AI: which should you choose?

DimensionDustAir AI
Pricing modelFreemium; credits vary by model and tool use, don't roll overContact sales; no published price
Core productCustom AI agents with skills, knowledge, 70+ connectors, MCPAI-native Enterprise Readiness platform (Readiness Graph, Execution Centers)
Typical buyerOps teams (support, sales, marketing, data), eng/ITDefense agencies, military commands, acquisition/sustainment offices
IntegrationsSlack, Notion, Google Drive, GitHub, Salesforce, Zendesk, Okta, Entra ID, Zapier, Make, n8nArmy, DCMA, Air Force, ERP and military logistics systems, commercial data sources
Governance featuresSpaces data segmentation, dual-layer permissions, SSO (Okta/Entra ID/Jumpcloud), SCIM, audit logsSecurity compliance built for defense environments
Bottom-line choicePick it for commercial agent orchestrationPick it only if you have a defense readiness mission
Dust
Dust

Dust builds multiplayer AI agents that pull company context from 70+ connectors and act inside Slack, CRM and docs.

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Air AI
Air AI

Air's Enterprise Readiness platform turns defense readiness data into a live Readiness Graph that closes the gap between the frontline and

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Pricing
Freemium
Contact Sales
Plans
FreeFree
Pro€24/seat/mo billed annually
Max€120/seat/mo billed annually
EnterpriseCustom
—
Popularity
10 views
7.3k views
Skill Level
Intermediate
Advanced
API Available
Platforms
WebAPIPlugin
Web
Categories
🤖 Automation & Agents
🚚 Supply Chain & Logistics📊 Data & Analytics🤖 Automation & Agents
FeaturesDustAir AI
Build custom agents with your own instructions, skills, knowledge and connected tools
Choose a model per agent from 20+ frontier and open-source models (OpenAI, Anthropic, Google, Mistral, DeepSeek)
Self-improving Skills: reusable instruction sets that encode team expertise and adapt from usage
Multi-agent orchestration with scheduled and event-driven triggers
70+ connectors including Slack, Notion, Google Drive, GitHub, Salesforce and Zendesk
Connect any other tool via native and remote MCP servers
Frames: interactive dashboards and apps, white-labellable on Enterprise
Pods: collaborative workspaces with shared context for people and agents
Spaces for segmenting company data and permissions by team
Dual-layer permission model separating agent data access from user access
SSO via Okta, Entra ID and Jumpcloud, plus SCIM provisioning and deprovisioning
Audit logs, usage analytics and adoption reporting
US or EU data residency, with single-tenant deployment on Enterprise
Developer API, Conversation API and Data Source API for programmatic access
Forward an email thread to an agent to loop it into the conversation
Activation layer fuses proprietary and customer data into the Readiness Graph, a single source of truth
Orchestration layer builds skills, agents, and models that forecast and optimize readiness outcomes
Execution layer runs Execution Centers that automate action across production, delivery, and sustainment
Execution Centers cover acquisition and production, supply chain and sustainment, MRO, and logistics
Compressed Army Materiel Release from 15 months to 3 months
Reduced DCMA vendor due diligence from 120 hours to under 24 hours
Cut E-3 part identification time by 99.6%
Returned multiple E-3 aircraft to mission-ready status in 72 hours
Saved 610 down days annually by shrinking critical part wait times from months to days
Enabled Navy PAE Maritime Program Office materiel risk analysis in minutes, a 92% manpower reduction
Surfaces replacement parts and DLA inventory across multiple data systems
Real-time fuel consumption data delivered to battlefield commanders (ARA partnership)
Naval fleet readiness modernization (Fathom5 partnership)
Air Awarded $31M Department of War contract supporting the ICBM enterprise
IntegrationsDustAir AI
Slack
Notion
Google Drive
GitHub
Salesforce
Zendesk
Okta
Entra ID
Jumpcloud
Zapier
Make
n8n
Power Automate

What do real users say about Dust vs Air AI?

Not marketing copy and not our opinion — a structured sweep of public discussion (reviews, forums, communities and video comments), showing what people praise and what they complain about for each tool.

Dust

86 mentions across 6 sources · 49% positive — mixed (weighted across 6 sources)

Hacker News, YouTube, Product Hunt, App Store, Stack Overflow, Lemmy

What users praise

  • • 70+ native connectors (Slack, Notion, Salesforce, Zendesk, GitHub) let agents act on real company systems
  • • Per-agent model choice across 20+ frontier and open-source models enables cost/quality tuning
  • • Dual-layer permission model separates what agents access from who can use them
  • • US or EU data residency plus SSO, SCIM and audit logs address enterprise governance needs

What frustrates them

  • • No authentic community feedback exists in the scraped data to validate the tool's real-world reliability
  • • Credits reset each period with no rollover, risking mid-month exhaustion for busy teams
  • • Enterprise-only features (unlimited connectors, pooled credits, single-tenant) leave smaller tiers constrained
  • • Name collision with games, novels and a messaging app makes independent research genuinely hard

Researched Sep 29, 2026

Air AI

No verifiable community signal. We scanned public discussion on Nov 8, 2026 and found posts matching the name “Air AI”, but could not establish that they are about this product rather than something else sharing its name. Rather than publish a score built on the wrong subject, we publish none.

Who should pick Dust, and who should pick Air AI?

  • Commercial ops lead (support, sales, marketing)
    Pick: Dust

    Dust agents connect directly to Slack, Notion, Salesforce and Zendesk, and Pods/Spaces let a department share context with per-team data segmentation.

  • Engineering/IT running triage or incident response
    Pick: Dust

    GitHub and MCP connectivity plus scheduled and event-driven triggers fit ticket triage and incident workflows without vendor-led deployment.

  • Regulated enterprise needing SSO and audit trails
    Pick: Dust

    SSO via Okta, Entra ID and Jumpcloud, SCIM provisioning, audit logs, usage analytics and a dual-layer permission model are listed features.

  • Defense command or acquisition/sustainment office
    Pick: Air AI

    Air is built for Army, DCMA and Air Force systems with documented outcomes like materiel release cut from 15 months to 3 months and 610 down days saved annually.

  • Solo founder wanting a cheap personal chatbot
    Pick: Dust

    Dust's freemium entry lets you start without sales contact, though both tools require real configuration — Air isn't even purchasable self-serve.

Frequently Asked Questions

Could a defense contractor use Dust instead of Air?

Only for the generic back-office agent work — Dust is a commercial agent platform with connectors like Slack, GitHub and Salesforce. It has no defense readiness data layer, no Army/DCMA/Air Force integrations, and none of the mission metrics Air reports.

Does Air have a free tier or self-serve signup?

No indication of one. Air's pricing type is contact-only, and its own not-for list excludes teams wanting a self-serve, low-cost analytics tool bought with a credit card.

What does Dust's 'self-improving skills' mean?

Shipped 2026-07-07, they're reusable instruction sets that encode team expertise and adapt from usage — a way to make agent capabilities improve as your team runs them, rather than static prompts.

Is EU data residency available in either tool?

Dust lists European organizations requiring EU data residency among its best-fit buyers. Air is oriented to US defense environments and doesn't advertise EU residency.

What's new with Air as of late 2026?

Leadership and partnership news: Andrej Danko as Chief Product and Technology Officer (Sept 8), a partnership with ARA for real-time fuel consumption data (Aug 11), board additions including Matthew Steckman and Dave DeWalt, and a naval fleet readiness partnership with Fathom5 (July 20).

Can I avoid unpredictable AI spend with Dust?

Dust's credits vary by model and tool use and don't roll over, so it isn't flat-rate. The controllable levers are which model each agent uses and how many tools/connectors it calls — both are per-agent choices.

What else are Dust and Air AI compared with?

Where can you read more about Dust and Air AI?

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Analysis generated by our model pipeline from live data: