{
  "slug": "respond-io",
  "name": "Respond.io",
  "url": "https://respond.io",
  "category": "customer-support",
  "tier": "venture",
  "one_liner": "AI-powered customer conversation platform: one team inbox plus AI Agents across WhatsApp, TikTok, Instagram, Messenger, voice and more for mid-market B2C.",
  "what_the_agent_does": "AI Agents answer enquiries, qualify leads, recommend products, book appointments, update CRM fields and hand off to humans inside the same omnichannel thread \u2014 so B2C teams capture, convert and retain customers without adding headcount as chat volume scales.",
  "business_model": "B2B SaaS priced on conversation volume (not seats) for mid-market B2C; free trial then paid plans; Series B VC-backed",
  "metrics": [
    {
      "label": "ARR",
      "value_usd": 35000000,
      "value_text": "$35M ARR with 169% year-over-year growth and a 30% profit margin (company-stated; also reported by TechCrunch citing the company)",
      "as_of": "2026-06",
      "source_url": "https://respond.io/blog/respond-io-raises-62-million-series-b",
      "source_name": "Respond.io company blog (Series B announcement, June 2026)",
      "age_days": 123,
      "older_figure": false,
      "source_sync_stale_since": null,
      "superseded": false,
      "link_check": {
        "status": "ok",
        "code": 200,
        "checked": "2026-10-16"
      },
      "verification": null
    },
    {
      "label": "Funding",
      "value_usd": 62500000,
      "value_text": "$62.5M Series B led by Camber Partners, with Endeavor Catalyst and existing investors (prior Series A $7M in 2022)",
      "as_of": "2026-06",
      "source_url": "https://respond.io/blog/respond-io-raises-62-million-series-b",
      "source_name": "Respond.io company blog",
      "age_days": 123,
      "older_figure": false,
      "source_sync_stale_since": null,
      "superseded": false,
      "link_check": {
        "status": "ok",
        "code": 200,
        "checked": "2026-10-16"
      },
      "verification": null
    },
    {
      "label": "Users",
      "value_usd": null,
      "value_count": 10000,
      "value_text": "over 10,000 brands across 180+ countries (company About / Series B blog); TechCrunch notes 2 billion messages processed per quarter",
      "as_of": "2026-06",
      "source_url": "https://respond.io/about",
      "source_name": "Respond.io About page",
      "age_days": 123,
      "older_figure": false,
      "source_sync_stale_since": null,
      "superseded": false,
      "link_check": {
        "status": "ok",
        "code": 200,
        "checked": "2026-10-16"
      },
      "verification": null
    }
  ],
  "founded": 2017,
  "team_size_text": "Founded 2017 (Hong Kong \u2192 Kuala Lumpur) by Gerardo Salandra (CEO), Hassan Ahmed (CTO) and Iaroslav Kudritskiy (COO); HQ Malaysia (TechCrunch / company)",
  "lessons": [
    "Price on conversation volume, not seats: when AI answers more chats, seat-based competitors earn less \u2014 volume pricing keeps revenue aligned with agent usage.",
    "Build messaging infrastructure first, then agents: routing, history, CRM context and human handoff make AI Agents commercially reliable instead of chatbot demos.",
    "Win messaging-first markets (APAC, LATAM, EMEA) before North America/Europe catch up \u2014 high-consideration B2C already closes deals inside WhatsApp and TikTok threads."
  ],
  "tags": [
    "whatsapp",
    "messaging",
    "cx",
    "omnichannel",
    "sales-agent",
    "profitable",
    "b2c"
  ],
  "last_verified": "2026-10-16",
  "agentic_origin": "agent-added",
  "url_profile": "https://mrrledger.com/b/respond-io/",
  "annualized_revenue_usd": 35000000,
  "annualized_revenue_basis": "ARR",
  "confidence": null,
  "source_sync_stale_since": null,
  "older_figure": false,
  "verified_corroboration": null,
  "headline_verification": null,
  "age_days": 123,
  "tier_label": "Venture-backed",
  "tier_note": "Has raised outside venture funding (e.g. Y Combinator or VC rounds). Says nothing about revenue size.",
  "independent": true,
  "ownership": null,
  "ownership_watch": null,
  "last_ownership_check": "2026-10-16",
  "revenue_disclosed": true,
  "badge_url": "https://mrrledger.com/badge/respond-io.svg",
  "badge_plain_url": "https://mrrledger.com/badge/respond-io-plain.svg",
  "growth_series": [],
  "related": [
    {
      "slug": "retell-ai",
      "name": "Retell AI",
      "category": "customer-support",
      "tier": "venture",
      "category_label": "Customer support",
      "tier_label": "Venture-backed",
      "one_liner": "Developer-first platform for building and running AI phone agents for call centers.",
      "annualized_revenue_usd": 80000000,
      "revenue_disclosed": true,
      "confidence": null,
      "source_sync_stale_since": null,
      "url_profile": "https://mrrledger.com/b/retell-ai/",
      "compare_url": "https://mrrledger.com/compare/?a=respond-io&b=retell-ai",
      "score": 9,
      "why": [
        "same category",
        "same tier",
        "shared: cx, profitable",
        "similar scale"
      ]
    },
    {
      "slug": "capacity",
      "name": "Capacity",
      "category": "customer-support",
      "tier": "venture",
      "category_label": "Customer support",
      "tier_label": "Venture-backed",
      "one_liner": "Unified agentic support and CX automation platform \u2014 AI agents, agent assist, auto-QA, and outbound from one knowledge orchestration layer.",
      "annualized_revenue_usd": 100000000,
      "revenue_disclosed": true,
      "confidence": null,
      "source_sync_stale_since": null,
      "url_profile": "https://mrrledger.com/b/capacity/",
      "compare_url": "https://mrrledger.com/compare/?a=respond-io&b=capacity",
      "score": 8,
      "why": [
        "same category",
        "same tier",
        "shared: cx",
        "similar scale"
      ]
    },
    {
      "slug": "decagon",
      "name": "Decagon",
      "category": "customer-support",
      "tier": "venture",
      "category_label": "Customer support",
      "tier_label": "Venture-backed",
      "one_liner": "Conversational AI agents for customer experience with Agent Operating Procedures.",
      "annualized_revenue_usd": 100000000,
      "revenue_disclosed": true,
      "confidence": "reported",
      "source_sync_stale_since": null,
      "url_profile": "https://mrrledger.com/b/decagon/",
      "compare_url": "https://mrrledger.com/compare/?a=respond-io&b=decagon",
      "score": 8,
      "why": [
        "same category",
        "same tier",
        "shared: cx",
        "similar scale"
      ]
    },
    {
      "slug": "intercom-fin",
      "name": "Fin (formerly Intercom)",
      "category": "customer-support",
      "tier": "venture",
      "category_label": "Customer support",
      "tier_label": "Venture-backed",
      "one_liner": "Customer-service AI agent (Fin) with its own vertical model Apex; Intercom renamed itself Fin and has been part of Salesforce since Sep 2026.",
      "annualized_revenue_usd": 100000000,
      "revenue_disclosed": true,
      "confidence": null,
      "source_sync_stale_since": null,
      "url_profile": "https://mrrledger.com/b/intercom-fin/",
      "compare_url": "https://mrrledger.com/compare/?a=respond-io&b=intercom-fin",
      "score": 8,
      "why": [
        "same category",
        "same tier",
        "shared: cx",
        "similar scale"
      ]
    }
  ]
}