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Anana

Hospitality and travel · by Anana

AI workspace for hospitality commercial teams that captures calls, emails, and chats, runs multi-turn investigations across bookings and market intelligence, and pushes operational follow-ups into PMS, CRM, and telephony systems.

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Ranking recognition

  • Anana · #1 for Query Data in Hospitality & Travel

What it does

AI workspace for hospitality commercial teams that captures calls, emails, and chats, runs multi-turn investigations across bookings and market intelligence, and pushes operational follow-ups into PMS, CRM, and telephony systems.

  • pickup analysis
  • demand signal detection
  • group pipeline tracking
  • call log review
  • workflow automation
  • knowledge base curation
  • end-of-day trend monitoring
  • repeat-issue detection
Category
Hospitality and travel
Built for
Hospitality and travel, Healthcare and life sciences
Users
hotel revenue teams, reservations teams, operations teams, marketing teams and 1 more
Public API
Not offered

Not yet disclosed: deployment options, platforms, languages and support channels.

Product insights

Evidence for this product in each industry and task.

#4 · analyze customer feedbackView ranking →

Documented workflow

“4pmGroupsPREV THIS WK ↑18%Group pipeline climbed 18% week over week.3 properties · $1.2M in playSynthesized from 3,412 guest messages · 189 rate checks · 417 calls ⌘K the problemYou already paid for the demand.Most of what…”

Read product documentation
  • 4pmGroupsPREV THIS WK ↑18%Group pipeline climbed 18% week over week.3 properties · $1.2M in playSynthesized from 3,412 guest messages · 189 rate checks · 417 calls ⌘K the problemYou already paid for the demand.Most of what…
    Read source · getanana.com ↗

Pricing

Pricing not available

We don't have pricing details for Anana yet. Ask Anana for a quote.

Security and compliance

As reported by Anana. Ask for audit reports before you buy.

  • SOC 2 Type IICompliant
  • Encryption in transit: TLS everywhere; HTTPS-only externally
  • Encryption at rest: AES-256 via AWS KMS for AWS RDS Postgres 17.4 (including pgvector) and AWS S3
  • Application-level AES-256-GCM for integration credentials
  • Multi-tenant isolation: row-level tenant filter enforced in the application data layer
  • Network protection: AWS WAF with managed rules and rate limiting (2000 requests per 5 minutes)
  • Webhook integrity: HMAC verification on inbound webhooks where the provider supports it
  • Access controls: multi-factor authentication, role-based access control, least-privilege provisioning
  • Audit logging: artifact lifecycle events (create, version bump, send) are recorded
  • Transient stores: Redis used for sessions and queues with short-lived data

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