# Brainfish > Brainfish is AI product support agents for B2B SaaS. Resolve tickets across every channel, ground every answer in your real product knowledge, and never train on customer data. Built in Sydney, deployed globally. ## Core pages - [Homepage](https://www.brainfishai.com/): Brand, hero, and outcome summary. - [Product](https://www.brainfishai.com/product): What Brainfish does and how the agent works. - [Pricing](https://www.brainfishai.com/pricing): Platform tier + add-ons + custom programs. - [Ask Brainfish](https://www.brainfishai.com/ask): Internal copilot for support teams (chat in Slack / Teams / Chrome). - [Book a demo](https://www.brainfishai.com/book-a-demo): Live walkthrough on your own data. - [About](https://www.brainfishai.com/about): Company background, founding team, mission. ## Customer outcomes - [ChangeEngine: 60% of ops time reclaimed and 1 in 4 customers self-serving](https://www.brainfishai.com/customers/how-changeengine-reclaimed-60-of-ops-time-and-got-1-in-4-customers-self-serving) - [Coassemble: Doubled qualified leads and cleared the overnight queue](https://www.brainfishai.com/customers/how-coassemble-doubled-qualified-leads-and-cleared-the-overnight-ticket-queue) - [Kloud Connect: 300+ hours saved with an in-app knowledge layer](https://www.brainfishai.com/customers/kloud-connect-saves-300-hours-and-scales-support-with-an-in-app-knowledge-layer) - [Vrio: 80% of developer questions resolved automatically](https://www.brainfishai.com/customers/how-vrio-scaled-technical-support-without-slowing-down-engineering) - [Gradeo: Scaled proactive exam support without adding headcount](https://www.brainfishai.com/customers/how-gradeo-scaled-proactive-exam-support-without-increasing-headcount) - [Smokeball: Search-to-tickets cut by 74%, Support NPS up 17 points](https://www.brainfishai.com/customers/how-smokeball-reduced-search-to-tickets-by-74-and-boosted-nps-by-37) - [CareMaster: Self-service from 30% to 76% with no team growth](https://www.brainfishai.com/customers/transforming-cx-with-ambient-ai-agents) - [Smokeball: Self-serve to human rate cut by more than 50%](https://www.brainfishai.com/customers/smokeball-cut-its-self-serve-to-human-rate-by-over-50) - [Circular: 20% of weekly support hours saved](https://www.brainfishai.com/customers/circular-saved-20-of-team-support-hours-per-week) - [Mad Paws: 636% ROI within 5 months, without 3 net-new agents](https://www.brainfishai.com/customers/how-madpaws-saw-636-roi-within-5-months) ## Featured writing - [Introducing Brainfish Live Agent Handoff for Zendesk](https://www.brainfishai.com/blog/live-agent-handoff-zendesk): Brainfish Live Agent Handoff for Zendesk transfers the full AI conversation to a human agent in the same window. No re-explaining. No starting blind. - [The Complete Guide to Brainfish + Zendesk 2026](https://www.brainfishai.com/blog/complete-guide-brainfish-zendesk-2026): The 2026 guide to running Brainfish alongside Zendesk. Architecture, integration points, Live Agent Handoff, agent assist, content ops, customer proof. - [The Dead-End Handoff: Why Most AI Support Tools Still Drop the Customer](https://www.brainfishai.com/blog/the-dead-end-handoff-why-most-ai-support-tools-still-drop-the-customer): Most AI support tools dead-end the customer when they cannot resolve. The handoff is the most damaged moment in the conversation. It does not have to be. - [The AI Knowledge Layer Buyer's Guide for Heads of Support](https://www.brainfishai.com/blog/ai-knowledge-layer-buyers-guide-heads-of-support): An AI knowledge layer buyer's guide written for the CX leader. Eight evaluation criteria, the traps to avoid, and how to score vendors against deflection and CSAT. - [Inside the 5%: How Three Companies Made Their AI Pilots Actually Deliver ROI](https://www.brainfishai.com/blog/inside-the-5-how-three-companies-made-their-ai-pilots-actually-deliver-roi): Why do 95% of AI pilots fail to show ROI? Three case studies show the 5% that win: unified knowledge, context by cohort, and measurable support automation. - [April Launch Round-Up: Brainfish Works Where Your Team Works](https://www.brainfishai.com/blog/april-launch-round-up-brainfish-works-where-your-team-works) - [7 things support, CS, and product teams are doing with Brainfish MCP and Claude](https://www.brainfishai.com/blog/7-things-support-cs-and-product-teams-are-doing-with-brainfish-mcp-and-claude) - [AI Knowledge Base for Customer Support](https://www.brainfishai.com/blog/ai-knowledge-base-for-customer-support): Learn what an AI knowledge base for customer support is, why traditional help centres fail at scale, and how to implement a self-updating knowledge layer that improves resolution rates across every channel. - [How to Build an AI Knowledge Base](https://www.brainfishai.com/blog/how-to-build-an-ai-knowledge-base): Most teams build an AI knowledge base backwards. They connect an existing help centre to an AI tool, watch the demo perform well, ship it, and then watch it quietly fail over the following months as the product evolves and the knowledge doesn't. Tickets rise. Confidence scores drop. The team blames the AI model. The model isn't the problem. The knowledge infrastructure is. Building an AI knowledge base that actually works in production, not just in demos, requires a different approach than building a traditional help centre. This guide walks through each step. - [Why Your AI Support Is Only as Good as Your Knowledge Layer](https://www.brainfishai.com/blog/why-your-ai-support-is-only-as-good-as-your-knowledge-layer): Most AI support deployments fail for knowledge reasons, not model reasons. This post lays out why AI support quality is a function of the knowledge layer behind it, what a working knowledge layer looks like, a concrete diagnostic to run on your own AI, and the 2026 moves support leaders are making as a result. - [What Is an AI Agent Knowledge Base?](https://www.brainfishai.com/blog/what-is-an-ai-agent-knowledge-base): What Is an AI Agent Knowledge Base? Quick answer: An AI agent knowledge base is a structured, machine-readable repository that an AI agent queries in real time to answer questions and execute tasks. It differs from a traditional knowledge base in that it is designed for programmatic retrieval — not human browsing — and must stay automatically current as the underlying product changes.AI agents are only as good as the knowledge they can access. Build a flawed knowledge base and your AI agent hallucinates, misroutes, or confidently answers the wrong question. Build a strong one, and your agent resolves issues end-to-end without human intervention. - [AI Knowledge Base vs Traditional Knowledge Base](https://www.brainfishai.com/blog/ai-knowledge-base-vs-traditional-knowledge-base): Traditional knowledge bases are human-written and quickly go stale as products change. AI knowledge bases ingest information from multiple sources, keep answers fresh, and power semantic retrieval for AI agents and chatbots. This guide breaks down the differences, when each approach fits, and what to consider if you’re migrating. ## Webinars (on demand) - [What AI Support Actually Looks Like When It Works](https://www.brainfishai.com/webinars/what-ai-support-actually-looks-like-when-it-works): Most AI support deployments fail at the knowledge layer, not the model. This session shows the architecture that fixes it, from three teams that built it. - [The Modern Sales Enablement Engine: How AI Is Replacing the Playbook. ](https://www.brainfishai.com/webinars/the-modern-enablement-engine-trusted-knowledge-at-the-moment-of-need): AI adoption in sales has doubled in two years. The teams pulling ahead aren't just buying tools, they're building the knowledge layer that makes AI actually work. - [Customer Innovation Day: Brainfish for Internal Productivity](https://www.brainfishai.com/webinars/q3-customer-innovation): What’s new, what’s improved, and how teams are using Brainfish to work smarter together. - [From Hallucinations to Certainty: The Missing Knowledge Layer for AI](https://www.brainfishai.com/webinars/from-hallucinations-to-certainty): Learn how to ground AI in Real Product Knowledge and eliminate hallucinations. ## Integrations - [API / Custom](https://www.brainfishai.com/integrations/api-custom): Contact our team to integrate with a software platform not listed. We have a habit of building custom integrations as needed. - [BigCommerce](https://www.brainfishai.com/integrations/bigcommerce): Answer questions about orders, user information and more, using API Actions. - [Claude (MCP)](https://www.brainfishai.com/integrations/claude-mcp): Connect your Brainfish knowledge base to Claude. Search, draft, audit, and update your help center content without ever leaving your AI assistant. - [Confluence](https://www.brainfishai.com/integrations/confluence): Get started in minutes using existing content from Confluence, so your AI agent can immediately start resolving customer inquiries. - [Freshworks](https://www.brainfishai.com/integrations/freshworks-0nsuo): Integrate Brainfish with the entire Freshworks suite. Connect your knowledge base and route conversations to human agents over chat, email, and phone. - [Google Drive](https://www.brainfishai.com/integrations/google-drive): Connect Slides, Sheets, Docs, or PDFs from Google Drive as knowledge sources. - [Guru](https://www.brainfishai.com/integrations/guru): Get started in minutes using existing content from Guru, so your AI agent can immediately start resolving customer inquiries. - [Help Scout](https://www.brainfishai.com/integrations/help-scout): Integrate with the entire Help Scout suite. Connect your knowledge base and route conversations to human agents over email and messaging channels. - [Helpjuice](https://www.brainfishai.com/integrations/helpjuice): Connect existing content from Helpjuice, so your AI agent can draw from content wherever to solve problems. - [Hubspot](https://www.brainfishai.com/integrations/hubspot): Answer questions through AI Actions via the Hubspot API to use specific CRM record details, or hand off to Messaging/Ticketing. - [Intercom](https://www.brainfishai.com/integrations/intercom): Integrate Brainfish with the Intercom messenger. Dynamically route conversations to human agents over chat, email, and phone. - [Magento](https://www.brainfishai.com/integrations/magento): Answer questions about orders, user information and more, using API Actions. ## Optional - [Blog index](https://www.brainfishai.com/blog): All long-form writing. - [Customer stories index](https://www.brainfishai.com/customers): All case studies. - [Changelog](https://www.brainfishai.com/changelog): Product release log. - [Integrations index](https://www.brainfishai.com/integrations): Every supported integration. - [Webinars](https://www.brainfishai.com/webinars): Live + on-demand sessions. - [Trust](https://trust.brainfi.sh): Security, compliance, and uptime.