Chatbase rebuilds the Help Desk for the age of AI agents. * 9 hrs ago SAN FRANCISCO - June 25, 2026 -Chatbase, the AI customer support platform serving more than 10,000 businesses worldwide, has launched Chatbase Help Desk, an AI-native support workspace built on a premise that no existing help desk platform was designed around: the AI handles the work, and humans supervise it. Every major help desk in use today was built for the opposite model. Chatbase Help Desk is built for what comes next. In practice, that means the AI agent resolves customer inquiries, takes actions, and manages conversations across chat, voice, email, and messaging without requiring human involvement for the cases it can fully handle. Human agents are not removed from the process. Their role changes. Rather than executing every ticket, they set the boundaries for what the AI can do autonomously, approve actions that require human authorization, and step into conversations when the situation genuinely calls for judgment. The work shifts from doing to deciding. For enterprise support teams, the difference shows up immediately in how volume gets handled. Routine inquiries, status checks, billing questions, account updates, move through the AI without touching an agent's queue. What reaches a human is what actually needs one. Every conversation is tracked from open to resolution in a single dashboard, and when the AI surfaces something for human review, it arrives with the full context of the interaction already intact. Agents do not start from scratch. They pick up where the AI left off. The launch comes as enterprise teams are moving past the question of whether AI can assist human support agents and toward the harder question of how much the AI can own outright. Chatbase Help Desk is built for that second question. The design assumes AI as the primary operator and human oversight as the control layer, not the other way around. It is a meaningful shift in architecture for a category that has not fundamentally changed its assumptions since ticketing software was first built for human teams. The Help Desk runs on the same platform that already handles omnichannel customer support for enterprise teams across more than 80 countries. Chatbase supports 35 AI models from seven providers, operates in 95 languages, and integrates natively with Zendesk, Salesforce, HubSpot, Stripe, Shopify, Slack, and WhatsApp. The platform is SOC 2 Type II certified and GDPR and HIPAA compliant. Chatbase Help Desk is available now across all plans. About Chatbase Chatbase is an AI agent platform for customer support used by more than 10,000 businesses worldwide, including IHG, Miele, National Grid, and Noon. The platform lets companies build, train, and deploy AI agents that resolve customer issues across chat, voice, email, and messaging by connecting to their knowledge base, internal tools, and CRM systems. Chatbase supports 35 AI models from 7 providers, custom actions, human escalation, responses in 95 languages, and native integrations with Zendesk, Salesforce, Intercom, HubSpot, Stripe, Shopify, Slack, WhatsApp, and more. Media Contact Zeyad Genena Chatbase Inc. 2261 Market Street, Suite 85690 San Francisco, CA 94114 Media Contact Company Name: Chatbase Inc. Contact Person: Zeyad Genena Country: United States

Chatbase reaches $10M ARR as a profitable challenger to Sierra, Decagon, and Fin. * Jun 17, 2026 SAN FRANCISCO - June 16, 2026 -Chatbase, the AI customer support platform used by enterprise teams across more than 80 countries, has reached $10 million in annual recurring revenue. The company has never raised outside funding. Enterprise AI support is moving away from long, services-heavy deployments and toward platforms that prove value quickly, integrate into existing systems, and scale across channels without forcing companies into a single vendor stack. Chatbase has grown into that shift entirely on the strength of its product, without investor capital to accelerate adoption or subsidize pricing. Chatbase is already serving the kinds of global brands that define the enterprise AI support market, including IHG, Miele, National Grid, and Noon. These are not startup use cases. They are proof that enterprise teams are choosing a leaner, product-led platform over larger, more heavily funded vendors. The company is SOC 2 Type II certified, GDPR and HIPAA compliant, and runs on 35 AI models from seven providers. The market Chatbase competes in is now defined by heavily capitalized AI customer experience platforms, including Sierra, Decagon, and Fin, the company formerly known as Intercom. Those platforms have raised significant venture capital and are building toward outcomes that require broad market ownership. Chatbase's growth demonstrates something different: that enterprise customers are actively choosing platforms that deploy quickly, integrate deeply, and improve the economics of support without adding operational complexity or vendor dependency. Chatbase's lack of outside funding is not a constraint. It is part of the enterprise value proposition. A platform that does not need to own the entire market to succeed has different incentives than one that does. There is no forced lock-in, no pricing pressure from a venture outcome that requires aggressive expansion, and no conflict between what investors need and what customers need. The company reached $1 million ARR in 117 days from launch, entirely through organic channels, with no paid marketing. The platform now handles customer support across chat, voice, email, and messaging through a single agent configuration. When Chatbase Voice launched in May 2026, it extended the same knowledge base, trained actions, and escalation logic that powers the chat agent to inbound phone calls via Twilio, with support for 95 languages and no additional vendor. For enterprise teams managing high inbound volume across time zones, that means one system, one setup, and no operational overhead from running separate tools for separate channels. "10 million is just a number, but I think it signifies that we were able to do this basically without spending any money in the early days," said Yasser Elsaid, Founder and CEO of Chatbase. "Now I think this is a turning point where we can operate as a venture-backed company because we've had this revenue from the last two years. If we operate like a venture-backed company, we can get to 100 million in the next few years. Maybe two." Chatbase is now accelerating its enterprise expansion, investing in a dedicated sales function and targeting the mid-market and enterprise accounts that represent the bulk of its addressable market. With 26 employees, a profitable operating model, and an omnichannel product already running at enterprise scale, the company enters that push from a position that most of its competitors, despite their funding, have not yet reached. About Chatbase Chatbase is an AI agent platform for customer support used by more than 10,000 businesses worldwide, including IHG, Miele, National Grid, and Noon. The platform lets companies build, train, and deploy AI agents that resolve customer issues across chat, voice, email, and messaging by connecting to their knowledge base, internal tools, and CRM systems. Chatbase supports 35 AI models from 7 providers, custom actions, human escalation, responses in 95 languages, and native integrations with Zendesk, Salesforce, Intercom, HubSpot, Stripe, Shopify, Slack, WhatsApp, and more. Media Contact Zeyad Genena Chatbase Inc. 2261 Market Street, Suite 85690 San Francisco, CA 94114 Media Contact Company Name: Chatbase Contact Person: Zeyad Genena Country: United States

Chatbase vs Intercom: which is better for ecommerce? Chatbase and Intercom take very different approaches to AI support. For an ecommerce store, the choice depends heavily on whether you need order data access, autonomous actions, or a full communications platform. Chatbase and Intercom aren't really competing for the same use case. Chatbase is a lightweight tool for building FAQ chatbots from documents. Intercom is a full customer communications platform with a capable AI agent (Fin) embedded in it. For ecommerce, neither is purpose-built - Chatbase lacks order-data access, and Intercom requires extra work to connect Shopify order actions. If you need to handle WISMO, returns, and product questions autonomously on a Shopify store, the more relevant question is whether either tool is the right category at all. Quick verdict. For ecommerce stores: Intercom is the more capable tool, but significantly more expensive. Chatbase is cheaper but can't take order actions. Neither is purpose-built for Shopify. A dedicated ecommerce AI agent (like Bookbag) often serves online stores better than either. What Chatbase does. Chatbase lets you build a custom AI chatbot by connecting documents, URLs, and data sources. The chatbot answers questions based on the content you've provided. It's quick to set up, beginner-friendly, and works well for static knowledge-base Q&A. What it doesn't do: access live order data, take actions in your ecommerce platform, process returns, or have multi-turn conversation memory out of the box. It's a knowledge chatbot, not an action-taking agent. * Fast setup - import docs/URLs and get a chatbot in minutes * Embeddable widget for any website * Per-message pricing model * No Shopify order data integration * No support actions (returns, refunds, tracking) built in What Intercom does. Intercom is a full customer communications platform. It covers live chat, email, in-app messages, product tours, proactive campaigns, and support - all in one platform. Its Fin AI agent answers questions from a knowledge base and can be extended with custom actions via the API. For ecommerce, Intercom can integrate with Shopify via third-party connectors, but it's not a native integration in the way Gorgias or Bookbag are. Order actions require developer work or middleware. * Fin AI is a capable multi-turn AI agent * Full customer lifecycle platform - not just support * Per-seat plus usage pricing - gets expensive fast * Shopify order data requires integration work * Strong for SaaS, D2C brands, and multi-product companies Head-to-head comparison. | Feature | Chatbase | Intercom Fin | | AI agent quality | Basic Q&A | Strong multi-turn AI | | Shopify order data | None | Via integration | | Autonomous order actions | No | Via custom actions | | Knowledge base grounding | Yes (docs/URLs) | Yes (articles/URLs) | | Human handoff | Basic | Full inbox + agents | | Live chat | No | Yes | | Email & in-app messaging | No | Yes | | Pricing | Per message | Per seat + usage | | Setup time | Minutes | Hours to days | | Best for | Simple FAQ bots | Multi-channel enterprise | Ecommerce use cases: how each performs. WISMO (where is my order?). Chatbase cannot answer WISMO questions accurately because it has no access to live order data. It can only answer static questions from the content you import. Intercom can answer WISMO if connected to Shopify data, but this requires integration work. For this use case, a purpose-built Shopify agent handles it natively. Returns and refunds. Chatbase cannot initiate a return - it's a Q&A tool. Intercom can be extended with custom actions to initiate returns, but this requires API development work. Neither handles this out of the box the way an ecommerce-native agent does. Product questions. This is where Chatbase is most useful for ecommerce - it can answer product questions grounded in your catalog documentation. Intercom Fin does this well too and handles more complex follow-up questions. Both work reasonably for this use case, with Intercom being more capable at multi-turn conversations. Pricing comparison. Chatbase charges per message. At low volume this is affordable; at high volume the costs add up. Intercom charges per seat (for agents using the inbox) plus per-resolution for Fin AI, which means both your team cost and your automation cost grow simultaneously. For a store with significant support volume and a goal of high deflection, both models create escalating costs as you scale. | Aspect | Chatbase | Intercom | | Base model | Per message | Per seat + per resolution | | At 1,000 conversations/mo | Low | Medium | | At 10,000 conversations/mo | Grows significantly | Grows significantly | | Predictability at peak | Variable | Variable | The ecommerce-native alternative. For Shopify stores, a third option is often worth considering: a purpose-built ecommerce AI agent that combines the ease of Chatbase's setup with the AI quality of Intercom, while adding native order-data access and action capabilities that neither tool provides out of the box. Bookbag connects directly to Shopify, resolves WISMO and returns without developer work, and charges a flat monthly fee regardless of conversation volume. For stores that want to automate the specific ticket types that dominate ecommerce support, this category of tool typically outperforms both Chatbase and Intercom on ROI. Verdict. Choose Chatbase if: you need a simple FAQ bot, setup speed is critical, and your ticket types are mostly static knowledge questions with no order-data requirement. Choose Intercom if: you need a full customer communications platform, already use Intercom for other channels, and have developer resources to connect Shopify order data. Consider a dedicated ecommerce agent if: your top ticket types are WISMO, returns, and product Q&A, and you want these resolved autonomously without developer work. Key takeaways. * Chatbase is a lightweight FAQ chatbot; Intercom is a full customer communications platform - they serve different needs. * Neither is purpose-built for ecommerce order actions without additional integration work. * Intercom Fin is the more capable AI agent of the two, but significantly more expensive. * For Shopify stores focused on WISMO and return automation, a dedicated ecommerce agent is often the better category. * Pricing: Chatbase per-message and Intercom per-seat+resolution both escalate at scale.