boost.ai Chat

Customer support agents · by boost.ai

AI chat automation for customer service featuring a no-code builder, 24/7 self-service, live chat handover, and conversation analytics.

What it does

AI chat automation for customer service featuring a no-code builder, 24/7 self-service, live chat handover, and conversation analytics.

  • customer self-service
  • internal support
  • agent assist
  • voice call automation
  • chat automation
  • enterprise integrations for virtual agents
Category
Customer support agents
Built for
Financial services and insurance
Users
regulated industries, financial services, insurance, telecom 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.

#6 · provide written supportView ranking →

Adoption

Who uses it?

“Our customers prefer using [our virtual agent] Aino over picking up the phone or waiting in line for live chat.”

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  • Our customers prefer using [our virtual agent] Aino over picking up the phone or waiting in line for live chat.
    Read source · boost.ai ↗

Customer satisfaction

Are customers happy with it?

No data available.

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Value for money

Are the benefits worth the cost?

No data available.

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Popularity

How much interest does it attract?

Coming soon

Product-specific search-interest measurement is not available yet.

Pricing

  • EnterpriseCustom
    • Quoted by their sales team

Prices as published by boost.ai, checked Nov 2026.

Security and compliance

As reported by boost.ai. Ask for audit reports before you buy.

  • ISO/IEC 27001Certified
  • ISO/IEC 27701Certified
  • GDPRCompliant
  • NIST CSFCompliant
  • CCPA/CPRACompliant
  • Segregated single-tenant customer environments
  • Availability zones
  • Data encryption at transfer and at rest
  • Malware detection
  • Intrusion detection
  • Hardening of servers to reduce attack surface
  • Vulnerability monitoring
  • Patch management
  • Distributed Denial of Service (DDoS) protection
  • Password quality checks
  • 2-factor authentication
  • Single Sign On (SSO)
  • Role segregation
  • IP allowlisting
  • Anonymization and partial masking of data
  • Log and event tracking
  • Penetration testing

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