AgentCore
AgentCore turns analyst decisions, overrides and edge cases into controlled improvements to Arva’s agents — evaluated, versioned and tested before reaching production
Learn
From every decision
Capture analyst outcomes, corrections, edge cases and failure modes from production
Evaluate
Prove improvements before release
Benchmark every change against historical decisions and regression tests
Deploy
Controlled, traceable releases
Versioned models, tools and policies with full decision-level lineage and rollback
Trusted BY LEADING
regulated institutions
The problem
A capable model is not a production-ready agent.
Regulated decisions need reliable data access, clear instructions, tested performance, controlled releases, and human oversight. Without that infrastructure, teams cannot tell whether an agent is accurate, stable, or safe to scale.
The Arva approach
Build the controls around the intelligence.
AgentCore gives teams a governed way to design agent tasks, connect evidence and tools, evaluate quality, release versions, and monitor performance. Every decision stays attributable to the exact system state that produced it.
Evaluate first. Deploy deliberately. Improve continuously.
Capabilities
Infrastructure for agents you can trust in production.
AgentCore connects the full agent lifecycle — from task design and evaluation to controlled deployment, monitoring, and human feedback.
Agent development
Define the task, evidence requirements, tools, instructions, and decision boundaries for each agent.
Evaluation framework
Benchmark quality against labelled cases before deployment and throughout production.
Versioned deployment
Release controlled agent versions with clear ownership, permissions, and rollback paths.
Production monitoring
Track decision quality, exceptions, drift, and human feedback across every deployed agent.
Governance
Governance built into the agent lifecycle.
Every release is evaluated, versioned, monitored, and connected to the evidence and human controls behind its decisions.
Evidence Lineage
Retain the sources, reasoning inputs, tool calls, and outcomes behind every decision.
Continuous Evaluation
Measure production performance against labelled cases and defined quality thresholds.
Human Controls
Keep people in control of escalation, approval, override, and feedback.
Release Governance
Make versions, changes, permissions, and rollback paths visible to model-risk owners.
Infrastructure
Fits the technology stack your agents need.
Connect models, internal systems, third-party data, and case tools while keeping permissions, execution, and auditability under one control layer.
