Your data
Runs live in your tenant. With Private AI, inference runs inside your own AWS account and hard-fails rather than falling back off it.
You were told regulated means slow. It doesn't. It means the platform you choose has to do two jobs at once. Execute and govern.
It orchestrates AI agents, your systems, and your people through the same long-running workflows, and it governs every step as it runs: deterministic controls in the path, human gates, a signed record of every action. Run the work. Govern it as it runs. Both jobs, one platform, live in minutes.
Organizations seeing early results



Runs live in your tenant. With Private AI, inference runs inside your own AWS account and hard-fails rather than falling back off it.
Neutral by design. Switch when a different one wins; identity, gates, and the audit chain stay the same.
Start on ours to go live in minutes, move to BYOK anytime.
Which prompts perform, where cost concentrates. It compounds in your tenant and leaves with you, not a vendor.
A workflow or an agent, in plain English.
Vendor risk, evidence collection, intake. Describe the process your team already owns, or the agent you want working it.
Agents, permissions, gates.
Brine builds the agents and the controls around them. Nothing runs that you haven't approved.
Agents, systems, and people.
One long-running process across all three, live in your tenant, on your data.
As it runs, not after.
Every step costed, capped, attributed to its agent and model, and signed.
One internal audit cycle run end to end on Brine, under full attribution. Speed came from the governance.
90 days live under full audit. Zero unreviewed AI actions in production.
In regulated work, the blocker is never whether AI can do the task. It's whether you can prove it did, and keep the data inside your walls.
Pay a flat platform fee for your tier, get monthly credits, and top up or upgrade if you use more. Seats are unlimited and never priced. Bring your own key on any tier and you are never metered on it.
Core governance: policy enforcement, Agent Identity Registry, audit logs. 1-yr retention.
+ BYOM, per-tenant model controls
+ SIEM / S3 streaming, 3-yr retention
+ VPC isolation, audit defense, 7-yr archiving
Core governance ships in every tier: policy enforcement, agent identity, audit logs, BYOK. Higher tiers add retention, streaming, and isolation as your regulatory scope grows. No per-seat math, no per-bot line items, no surprise metering on keys you already own.
Running your operations on agents is where the market is going. The idea that a regulated team has to wait for it, or hand its data to a model provider to get there, is the tradeoff we refuse. Your work stays in your tenant. Your keys stay yours. Every step keeps a signed record. Bring us a workflow you can't run on commodity AI, a deadline, and a question you can't answer today. We will show you what it looks like once Brine is running it.