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

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 Users get stuck because of an unclear product flow or out of date help docs, submit tickets, wait for responses, and hope someone understands the context of their problem.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.

Product teams face an even more frustrating challenge: sometimes they're building in the dark. By the time feedback reaches them through support tickets or user surveys, customers are already confused or churning. They ship features that users can't find or don't know how to use. They maintain help documentation that's constantly outdated because every product update requires manual content revisions across multiple systems.

Worse, product teams often don't see the connection between their design decisions and support volume. A confusing onboarding flow becomes dozens of "how do I get started" tickets. An unclear feature interface generates endless questions about functionality that should be intuitive. A product update that changes the UI invalidates hours of carefully crafted documentation.

Just like their Support counterparts, Product teams are constantly reacting to problems instead of preventing them, and they're missing the real-time insights they need to build products that actually work for users.

We built Brainfish because we know there's a better way!

We started by building a Self-Generating Knowledge Base so you never had to update product docs again. Now we're doing so much more.

Read the full announcement here.