Hire your AI compliance team.

Real agents. Luna, Arc, Arbiter, and deepeye are production AI systems running in deepidv. Each one owns a discrete role across the verification and compliance lifecycle, with its own model stack, training data, and audit trail.

Luna handles continuous monitoring and analyst co-piloting after onboarding. Arc orchestrates the workflows that decide which checks run when. Arbiter is the final-call decisioning agent that synthesizes signals into a risk score. deepeye is the deepfake and synthetic media defender that watches every face, voice, and document.

You can start with one. Most teams begin with Arbiter for risk decisioning or Luna for monitoring, then layer in the others as they expand. Each agent has its own pricing and can run independently or as a coordinated team.

Everywhere it matters. Luna drafts SAR narratives but a compliance analyst reviews and signs them. Arbiter makes a decision but a human can override it, and that override trains the next decision. deepeye flags synthetic media but escalates ambiguous cases to a fraud reviewer. The agents do the volume; humans do the judgment.

Only with your permission. By default the agents run on deepidv's foundation models, fine-tuned on adversarial verification data we generate ourselves. Enterprise customers can opt into private model fine-tuning on their own data, isolated to their tenant.

Arbiter returns a composite risk decision in under 150 milliseconds. deepeye scans a face or voice clip in under a second. Luna answers compliance questions in real time and drafts narratives in under a minute. Arc routes workflows on every event without adding noticeable latency.

Every decision is logged, explainable, and replayable. If Arbiter scores something incorrectly, the override is captured and the model learns. If deepeye misses a deepfake, the case is added to adversarial training. The agents are not black boxes; every output ships with the reasoning behind it.

Book a demo. We will walk through your verification and compliance flow, show which agents fit where, and get you set up with API keys and a dashboard. Most teams are running at least one agent in production within a week.