Arbis provides a runtime assurance platform for agentic AI, adding built‑in controls, evidence collection, and auditability to AI‑driven decision workflows. It continuously monitors and verifies each input, reasoning step, and output, generating an immutable event log that satisfies compliance requirements for regulated industries such as loan underwriting and financial advisory. The solution integrates with popular frameworks like LangChain, CrewAI, and OpenAI Agents.
Funding
Funding not disclosed
Founders
Product
Problem
AI agents in regulated sectors such as finance, credit underwriting, and advisory make high‑volume decisions without continuous oversight, leaving organizations exposed to compliance violations that may only be discovered during periodic audits. Existing governance tools address only parts of the stack and do not provide real‑time verification of inputs, reasoning, or outputs, resulting in opaque, untraceable decision trails.
Solution
Arbis delivers a runtime assurance platform that embeds monitoring, verification, and audit capabilities directly into agentic AI workflows. The system continuously validates each decision’s inputs, reasoning steps, and outputs, generating structured, queryable logs that capture evidence for every action. By integrating with popular frameworks like LangChain, CrewAI, AutoGen, and OpenAI agents, Arbis can be added to existing enterprise AI stacks without redesign. The platform flags anomalies—such as policy breaches, overconfidence, or exposure of sensitive data—and escalates them for human review, ensuring that compliance controls operate in real time rather than only at periodic checkpoints. All verification events are stored in an audit‑ready event log that satisfies regulator demands for traceability and accountability.
Target Audience
Primary customers are regulated enterprises—such as banks, credit unions, insurance firms, and advisory services—that deploy AI‑driven automation for decision‑making and require continuous compliance monitoring.
Features
- Continuous, automated verification of AI agent inputs, reasoning traces, and outputs during runtime
- Real‑time detection of compliance violations, data exposure, and confidence anomalies with configurable escalation rules
- Centralized, queryable verification event log that provides audit‑ready evidence for every decision
- Native integrations with LangChain, CrewAI, AutoGen, OpenAI agents, and custom agent frameworks
- Plug‑and‑play deployment that adds assurance controls to existing AI pipelines without code rewrites
- Configurable policy libraries to enforce industry‑specific regulations and internal governance standards