Describe. Build. Run. Govern.

It started with a copy-paste dance.

Brine’s cofounder and CEO, Ray Watts, would get an output from one provider, paste it into the next, then paste that into another. Claude, then ChatGPT, then Gemini. Good work, trapped in separate rooms, moved by hand.

One question kept nagging him. Why can’t I just have all the providers in one room?

So he started to tinker.

Anyone who is furiously curious knows the feeling. You stop waiting for someone else to solve it, and you build your own way through.

Ray built his. He got the providers into one room. What came out was not just multi-provider. It was multi-human, multi-provider, multi-model in the same thread, where people and models could work the same problem together.

Ray had spent the last decade as a Principal at Neutral Partners, a managed GRC firm he and Brian Kline built into one of the most trusted names in regulated-industry compliance. Neutral Partners does the unglamorous, high-stakes work of getting companies through their hardest audits. SOC 2. ISO 27001. HITRUST. HIPAA. FedRAMP. Its clients are mostly mid-market software and health-data companies, the kind where a failed audit can cost a deal, or the company.

The firm earned something rare in professional services. Clients stay for years and come back to take on the next framework, then the next, because the work makes a real difference. Ray and Brian did not sell audits. They built relationships that compound.

That is the seat Ray watched from. And from it, he watched agentic AI land on those customers. He watched them freeze.

Every regulated company faced the same two paths.

There was no third path. So they stalled.

Ray was not the only one watching it happen. Kaleigh Conners had spent her career selling cybersecurity into regulated companies of every size, from small shops to the Fortune 500, where compliance was always part of the deal. She was watching the same freeze take hold across all of them. When she and Ray started comparing notes on what he was building, she stopped watching and started building with him.

The pull was strongest inside Neutral Partners’ own book. Its most forward-looking clients had begun asking for ISO 42001, the standard for governing AI itself. They were not just worried about AI anymore. They were trying to prove they could control it. Nobody had built the thing that would let them.

So Brian asked the question directly. How do we use this in our own business? What solution actually exists here?

Ray tapped John Chain, a leader and developer he had known for years, and asked him to pick up what he had started. He also brought in Scott Leslie, who had built ventures alongside Ray, Brian, and John, and whose decades in the field meant the team was building on hard-won instinct, not guesswork. John took the multi-human, multi-provider, multi-model room and turned it into something that does not just let you chat. It runs the work. Real workflows, executed by models, with every step logged and provable.

Neutral Partners put it to work on themselves first. They automated only the work that was suited to it, the parts that did not need a human.

$6,000 of audit work, for $750 — plus $40 in Brine. For a professional services firm in 2026, that is not a tweak. That is a different business.

By now the company needed a name, and Ray knew where his own instincts came from. Before Neutral Partners, he spent his career in the Navy. Years at sea, in secure communications and then offensive cyber. It is where he learned, up close, exactly where trust breaks and what it costs when it does.

So he did not hand the name to a branding firm. He asked Mira, one of the early agents in the room, to do it.

Salt water. The sea Ray spent a career on. And the salt water all life started in. Mira tied where the founder came from to where everything came from, and landed on one word.

We could have overruled her for something safer. We kept it.

Then Mira named our lead agent. Vera, for the faith it takes to navigate rough water. That is exactly Vera’s job inside the platform: keeping the agent workforce trustworthy, so you can trust what it does.

An agent named them both. It did real work. We could check that work. So we trusted it and kept what it made. That is the whole company in a single decision: let capable agents work, then prove what they did.

Those customers were stuck between two bad options. Adopt AI and risk everything they had built on trust. Or wait, and watch the market move without them.

Brine is the third path. Use AI, and prove every step of it. Move fast, and stay in compliance. You should not have to choose.