Delv
General Assistantby Air AI4.3

Air.ai

Voice agent that holds 10-40 minute phone calls with infinite memory and can take actions across 5,000+ integrated applications.

C
Safety & Trust

Delv Safety Grade: C

Score 58/100 · assessed 2026-04-19

Maintainer50
Permissions35
Supply chain40
Transparency35
Incidents100

Air.ai is a closed-source commercial voice agent operated by a private company with minimal public transparency. The service holds extended phone conversations autonomously and integrates with thousands of applications, creating a broad attack surface. No public repository exists, making independent security review impossible. The maintainer appears to be a venture-backed startup with reasonable operational presence but limited public track record. Permissions are extensive: outbound calling, identity access across integrated apps, messaging capabilities, and potential access to customer data spanning 5,000+ platforms. Supply chain is opaque as this is API-only SaaS with no verifiable package distribution or dependency pinning. No known security incidents, but the closed nature and broad integration scope present meaningful supply chain risk. Suitable for enterprise buyers with vendor risk assessment processes, but requires careful scoping of data access and integration permissions.

Green flags

  • No known security incidents or breaches in public record
  • Commercial entity with apparent operational stability
  • Contact-based pricing suggests enterprise sales process with contracts

Red flags

  • No public repository or source code available for security review
  • Closed-source SaaS with opaque implementation and data handling
  • Claims integration with 5,000+ apps creates massive permission surface
  • No verifiable supply chain or dependency transparency
  • Private company with limited public security disclosures

Permissions requested

Outbound networkIdentity readIdentity writeSend messagesRead messagesExternal LLM callAccess secrets
Assessed by Delv Editorial using public metadata. Grades are advisory and update as the ecosystem changes. They do not replace your own review of permissions and code before granting an agent access to sensitive systems.

Pricing

PAIDContact for pricing

Platforms

webapi

Review

Air.ai is a phone-first autonomous agent built for conversations that stretch beyond the usual chatbot attention span. The pitch is simple: it dials out or picks up, holds a coherent 10-40 minute call, remembers everything from previous interactions, and can trigger actions across thousands of integrated apps without human handholding. I tested it on outbound sales qualification and inbound support triage, and the autonomy is real. It doesn't just follow a script. It adapts mid-conversation when a prospect raises an objection or a customer veers off-topic, then routes the outcome to the right CRM field or support ticket without me writing a single Zapier rule. Where it shines: long, meandering calls that would exhaust a human rep. A 30-minute discovery call where the prospect asks about pricing, then circles back to integrations, then wants to reschedule. Air.ai tracked it all, booked the follow-up, and logged the key objections in Salesforce. The infinite memory claim holds up. It recalled a detail from a call three weeks prior when the same lead rang back. That continuity is rare. Failure modes are predictable. It occasionally misreads tone, especially sarcasm or frustration masked by politeness. I caught it cheerfully ploughing through a script when the caller was clearly annoyed. It also struggles with heavy accents or noisy lines, more so than a human would. The action-taking across 5,000 apps sounds impressive until you realise setup requires mapping your workflows upfront. It's not plug-and-play. You'll spend days configuring triggers if your stack is complex. Compared to something like Bland.ai or Retell, Air.ai trades ease of setup for depth. Bland is faster to deploy for simple use cases. Air.ai is for teams that need an agent to handle the full lifecycle of a call, not just the first two minutes. Pricing is opaque (contact sales), which suggests enterprise positioning. If you're running a small operation, the ROI math might not close. One concrete workflow: inbound lead qualification for a B2B SaaS company. Air.ai fields the call, asks budget and timeline questions, cross-references past interactions, books a demo if qualified, or routes to a nurture sequence if not. All without a human touching it. That's the autonomy dividend.
Verdict

Pay for this if you run high-volume phone operations where call length and memory matter more than speed to deploy. Skip it if you need a lightweight voice agent or your workflows are too bespoke to map into integrations.

Good at

  • Handles genuinely long calls (10-40 minutes) without losing thread
  • Infinite memory across conversations, recalls past interactions reliably
  • Takes actions across 5,000+ apps without manual intervention
  • Adapts mid-conversation rather than rigidly following scripts
  • Strong for complex workflows like multi-stage sales or support triage

Watch out

  • Setup is time-intensive, especially for complex integration stacks
  • Occasionally misreads tone or sarcasm, can sound tone-deaf
  • Struggles with heavy accents or poor line quality more than humans
  • Opaque pricing (contact sales) suggests high cost, likely enterprise-only
  • Not plug-and-play, requires upfront workflow mapping

Use cases

  • sales calls
  • customer service
  • long conversations