Last verified Oct 23, 2025
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    Ada Support

    AI customer service automation (Conversational AI chatbots, ACX)

    Customer SupportAIChatbotsACXAutomation
    Function:Customer Support
    Subfunction:Chat Support / Chatbots
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    Founded
    2016
    Employees
    ~485-705 (grew above claimed 201-500 band)
    Funding
    $190.6M total; Series C $130M at $1.2B valuation (May 2021)
    Stage
    Private, valuation $1.2B (2021)
    Report version: Oct 23, 2025

    1. Products/Services & Features

    • Main Offerings:

      • Generative AI Customer Service Agent (chat + voice)
      • Automated Workflows & Integrations (Conversations API)
      • Analytics & Coaching for agent performance
    • Feature Breakdown: No/low-code bot builder, multilingual support, omnichannel (web, mobile, Slack, Teams, email, SMS), custom intents, API & webhooks, knowledge ingest, live-agent handoff, SOC2/ISO27001 compliant, audit logs via Export API, playbooks, coaching, analytics dashboards (Departments: Customer Support, Customer Success, CX Ops, IT, Digital Experience)

    • Business Industry Gearing: E-commerce, Fintech, SaaS, Gaming, Media, Telecom

    2. Security & Compliance

    • Certifications: SOC 2 Type II certified, ISO 27001, GDPR compliant

    • Vendors/Tools: Uses secure cloud providers (unspecified)

    • Risk Profile:

      • Breaches: No publicly reported breaches
      • Features: Role-based controls via customer IAM, Compliance API for deletion, audit/export logs

    3. User Feedback & Adoption

    • Aggregated Reviews: G2 4.6/5 (150+ reviews), Capterra 4.5+/5

      • Pros: Ease of use, responsive support, smooth Zendesk integration, high containment
      • Cons: Complexity adding new features/channels, learning curve for advanced workflows, cost
    • Adoption Insights:

      • Adoption Ease: Drag-and-drop builder, enterprise onboarding support
      • Adoption Cultural Fit: Empowers agents; upskills humans to AI collaborators
    • Metrics: High CSAT uplift reported (+8 pts Tilt)

    • Barriers: Enterprise-level pricing, technical effort for deep customization

    4. Monetization & Business Model

    • Revenue Model: SaaS subscription – custom enterprise contracts

    • Pricing: Starts ~$30k/yr; range $4k-$64k/yr; high-end $300k+ (Sources: Salesforce AppExchange, eesel blog, Spendflo pricing guide)

    • Market Context:

      • TAM: Global CX automation market $15B+
      • Growth Stage: High-growth, AI adoption surge 2024-25

    5. Leadership & Recent Developments

    Name Description LinkedIn X Account
    Mike Murchison Co-founder & CEO; Forbes 30 Under 30; background in cognitive science; founded after experiencing CX pain at Volley https://www.linkedin.com/in/mikemurchison
    David Hariri Co-founder & Chief Architect; design & dev background; drives emerging product https://www.linkedin.com/in/davidhariri
    Mike Gozzo Chief Product Officer (since 2023); ex-Twilio, product & GTM leader https://www.linkedin.com/in/mgozzo
    • Key Metrics Update:

      • Funding: Series C $130M May-2021 (Spark Capital, Tiger Global)
      • Employee Growth: 201–500 (steady since 2021)
    • News/Trends:

      • News Launch: 2025 Conversations API extensibility; responsible gambling AI use-case
      • News Partnerships: Playtech BetBuddy risk intelligence partnership (IAGR 2025)
      • News Funding: No new funding since 2021
      • News Challenges: Enterprise agent scalability, security & IAM complexity

    6. Target Audience & Use Cases

    • Target Market: Mid-/Large enterprises needing scalable CX automation

    • Target Users & Personas: Support leaders, CX ops, IT, Digital product teams

    • User Experience Level: Entry-level CS agents (no-code) to power admins (API)

    • Key Use Cases:

      • Automate FAQ & transactional support 24/7
      • Proactive outreach & retention via personalized chat
      • Multilingual support during rapid global scaling

    7. Impact & Recommendations

    • Measurable Outcomes:

      • Workflow Improvements: 84% automated resolution (Tilt), 9h faster email FRT, millions hours saved
      • ROI Examples: Tilt: +8 CSAT, 6M chats/yr automated; Blackhawk: upskilled agents, expanded automation
    • Fit Assessment: Strong fit for enterprise CX teams seeking agentic AI; less fit for SMB budgets

    • Custom Rec Flags:

      • Priority ICP: Digital-first enterprises with >50k monthly tickets
      • Short Term Goals: Expand voice support, deepen analytics, improve IAM automation

    8. Data Sourcing Notes

    • Other sources: eesel.ai/blog/ada-security-compliance-api; prnewswire.com/...; spendflo.com/blog/ada-pricing-guide

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