Brainfish —Ambient AI Agents for Customer Support

Brainfish envisions a future where customer support is seamlessly integrated into digital products through intelligent ambient AI agents that anticipate and address user needs before they surface as problems. Our mission is to revolutionize how companies engage with their customers by delivering proactive, contextual, and personalized support that drives growth and reduces operational friction.

We are building a future where AI not only supports but enhances human interactions by learning from user behavior, product dynamics, and rich multimedia content to continually evolve and improve the customer experience. By embedding our intelligent agents directly inside digital products, we eliminate traditional barriers between users and support, transforming every interaction into a seamless success-driven journey.

At Brainfish, we are committed to harnessing ambient AI to create adaptive, trusted, and simple solutions that empower businesses to reduce support costs while fostering deeper customer loyalty and satisfaction. Our innovation is setting a new standard for how AI merges with human-centric service to unlock the full potential of every digital experience.

We'll be honest — when we first heard about Brainfish, we thought it was just another AI chatbot trying to ride the customer support wave. Boy, were we wrong. This Australian startup has built something genuinely different: ambient AI that actually watches how users behave inside products and jumps in with help before they even ask for it.

Think of it as having a really attentive customer success manager who never sleeps, never takes breaks, and somehow knows exactly when you're about to get frustrated with a feature. That's essentially what Brainfish has created.

The "Aha" Moment That Hooked Us

What caught our attention wasn't the tech itself — it was the founding story. The team started with a simple question: "How can AI make online self-service faster and better?" Instead of building another generic chatbot, they pivoted to something much smarter.

Their AI doesn't wait for users to submit tickets or hunt for help docs. It observes user behavior, spots hesitation or confusion in real-time, and delivers contextual help right in the product flow. We love this proactive approach because it tackles the real problem: people hate leaving their workflow to find answers.

Why Enterprise Teams Are Taking Notice

Brainfish isn't playing in the crowded small business chatbot space. They're going after SaaS companies and digital product teams who are drowning in support tickets and struggling with user adoption. Their client Smokeball — a platform for law firms — is a perfect example of their sweet spot.

The value prop is compelling: reduce support overhead while actually improving user experience. Most AI support tools do one or the other, but rarely both effectively. Brainfish seems to have cracked this code by making the AI feel less like "customer support" and more like built-in product guidance.

What Impressed Us Most

Two things really stood out during our research. First, the implementation is surprisingly light — just a few lines of code to embed. For dev teams already stretched thin, this is huge. Second, the AI automatically learns from product videos, docs, and usage patterns to generate support content. It's like having a support team that actually keeps up with your product releases.

The $10 million in funding (including a recent $6.4M pre-Series A) tells us investors see the same potential we do. In a market full of reactive support tools, Brainfish's predictive, behavior-driven approach feels like the natural next step for customer success automation.