Protect production
Put validation and human approval between fast agent output and the base codebase.
For teams adopting coding
agents
Managed AI agent development without the chaos.
Ocean gives engineering leaders the platform layer for agentic development: isolated work, usage visibility, validation gates, review evidence, and safe merge control.
GovernedShared controls for agent usage, risk, and review.
AuditableTrace agent work from task to accepted merge.
MeasurableTrack spend against production-ready output.
Governance platform
Make agent adoption visible before it becomes risky.
Ocean turns individual agent experiments into a team operating model with budget, validation, review, and merge gates.
Roles
Give leads clear ownership over risky agent output.
Budgets
Control AI spend by project, developer, and workflow.
Checks
Require validation evidence before work moves forward.
Review
Connect review decisions to the agent sessions behind them.
Audit
Keep a durable record of accepted and rejected agent work.
Control room
One project, many agents, one approval path.
Ocean / platform-teamREVIEW REQUIRED
SPENDRs 42.3k of Rs 75k project budgetin range
CHECKS12 passed, 1 security review pendingtracked
LANE Bpayment workflow tests need reviewhold
MERGEauth boundary changed by agentapproval required
Team outcomes
Move from ad-hoc AI usage to a managed capability.
Protect margins
See whether model spend is producing accepted code or just expensive churn.
Protect context
Give teams a shared record of what each agent did, changed, and attempted.
Make coding agents a managed platform capability.
Start with the macOS app, then bring the same trust layer to team workflows.