Brainfish offers Ambient AI Agents for Customer Support. We use computer vision to continuously observe how users navigate your product and provide useful assistance when they need it. - Self-Generating Help Content - Multimodal Answer Engine - End-to-End Actions - Contextual Guidance - Behavioral Reporting

Brainfish's Self-Generating Knowledge Base automatically generates help docs and delivers it exactly when needed. Like having a documentation team that works 24/7 (and reads minds). Embed a few lines of code in your product and watch the magic happen.

👋 Hi Product Hunters! I'm DK from Brainfish, and today we're excited to launch our Self-Generating Knowledge Base feature as part of our ambient AI agent. Here's the problem we noticed: Companies spend hours creating and maintaining help content, yet users still struggle to find answers. Traditional AI solutions promise automation but require extensive setup and don't always easily understand your product's context. Meanwhile, your best support people naturally learn how users interact with your product and provide perfect guidance at the right moment. We asked: what if AI could do that? That's exactly what we built. Our ambient AI agent works like your most attentive support person: - It actively observes how users interact with your product - Automatically creates help content based on real usage patterns - Delivers contextual assistance exactly when users need it - Continuously learns and improves without manual training What makes this different? - Zero setup time - Just add our snippet and the AI starts learning immediately - True contextual understanding - It doesn't just search docs, it understands how users actually use your product - Automatic content generation - Creates and updates help content based on real user behavior - Natural delivery - Provides help within the user's workflow, not through intrusive chatbots or separate windows Where does this fit in your tech stack? Supplements & enhances: - Traditional knowledge bases (Zendesk, Help Scout, Confluence) - by automatically creating and updating content - Product analytics tools - by adding context to user behavior patterns - Existing support workflows - by providing instant, contextual assistance without disrupting escalation paths Can replace or reduce reliance on: - Manual documentation tools - Basic chatbots that create friction - Standalone product tours and onboarding tools - Multiple disconnected help content repositories Think of it as a layer that sits on top of your existing systems, learning from everything and making it all work better together. It doesn't force you to rip and replace your current tools – instead, it makes them smarter and more connected. Real results from our early customers: - Smokeball achieved an 83% self-service rate without creating any friction - One customer improved their support NPS from 60 to 77 - Another reduced training hours by 30% Perfect for: - Product/support teams tired of maintaining outdated documentation - CX leaders who want to improve self-service capabilities - Companies looking to scale support without losing quality - Teams frustrated with complex AI tools that require a lot of setup We built this because we believe making products easier to use shouldn't mean putting up walls between users and help. Traditional knowledge bases are static and outdated. Chatbots have become frustrating and disconnected. Try it out and let us know what you think! We're especially interested in hearing how this compares to your current documentation and support processes. P.S. - If you're wondering about the "video game" analogy we sometimes use: just like how modern games learn and adapt to your playstyle in real-time, our AI agent learns and adapts to how people actually use your product. No manual required! 🎮

@danielkimber really looking forward for products like this to automatically own and keep all documentation updated. It's so obviously a great use case for this tech in my mind. Good luck on the race, this is looking good! 🔥

@manuhortet thank you so much! Super excited about this

@danielkimber love the idea

Looking so good! 🔥

looks like a great contender for replacing intercom's fin agent! will you have video/image creation or just text modality?

@andrew_white_13 yes we are working on image + video - we already support in AI answers, so document generation we are not too far away from this

@danielkimber awesome! it'll definitely do some magic with support process.

Customer support as we know it is fundamentally reactive. Users get stuck because of an unclear product flow or out of date help docs, submit tickets, wait for responses, and hope someone understands the context of their problem. Meanwhile, support teams spend their days answering the same questions over and over, never getting ahead of the real problems.

Congrats on the launch! Love the branding direction you went with Brainfish, kind of reminds me of Figma. This looks like a supercharged Helpcrunch to me.

As a go-to-market advisor, we know it is critical for founders not to get stuck in their own microcosm of what they think customers want, but to immerse themselves in their customer's world. The magic of Brainfish for us is this content feedback feature - not having to guess what customers and teams want - but getting live insights and easily being able to generate content so rapidly in the way they want to absorb the information. Next level awesome - upvoted!

Congrats on the launch! Love the branding direction you went with Brainfish, kind of reminds me of Figma. This looks like a supercharged Helpcrunch to me.

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Brainfish Raises $10M to Define the Future of Customer Support with Ambient AI

Brainfish Launches

Forum Threads

Brainfish Raises $10M to Define the Future of Customer Support with Ambient AI