Trust.
Built In.

AI agents under control. Every action traceable. Every decision auditable. Every critical action approved by humans. Enterprise-grade governance backed by patent-pending technology.

Agents that stay compliant, not just start compliant

Most governance stops at detection. MeetLoyd closes the loop: it catches an agent drifting from its charter, remediates it, and proves the fix - with a record.

Every agent has a charter: its mission, its boundaries, when to escalate. MeetLoyd continuously checks the agent behaves that way. When it drifts, you get more than an alert - you get a closed loop that brings it back in line:

  • Detect - the drift is surfaced on the agent's health view, in plain language.
  • Remediate - a corrective change is proposed, guarded so it can't regress compliance.
  • Approve - nothing is applied silently; you review and approve, versioned and audited.
  • Re-verify - the fix is re-checked and the finding closes only when the agent is compliant again.

And it won't over-promise: when a behavior genuinely can't be corrected this way, MeetLoyd says so and escalates. Your live compliance measurement stays independent and untouched.

Human-in-the-Loop by Design

In MeetLoyd, humans and agents are equal participants in workflows. Both have identities, permissions, and audited actions.

Add a human to a workflow the same way you add an agent. They receive the same notifications, appear in the same audit logs, and their decisions carry the same weight.

Agents Humans
Identity sdr@acme.com sarah@acme.com
Add to workflow Drag & drop Drag & drop
Actions logged โœ“ Full audit โœ“ Full audit
Notifications Email, Slack, App Email, Slack, App
Subject to rules Configurable policies Code of Conduct
๐Ÿค–

Agent proposes action

"Scale database pool to 200 connections"

๐Ÿ””

Approval gate triggered

Notification sent via Email, Slack, and App

๐Ÿ‘ค

Human reviews & approves

Decision logged with timestamp and context

๐Ÿค–

Agent executes

Action performed with full audit trail

Avoiding Human Bottlenecks

Human oversight shouldn't mean human slowdown. We've designed HITL to be efficient by default.

  • Approval by exception โ€” Only out-of-norm actions require approval. Routine tasks proceed automatically.
  • Intelligent timeouts โ€” No response in X hours? Automatic escalation or predefined fallback.
  • Delegation chains โ€” Primary approver unavailable? Request routes to backup automatically.
  • Batch approvals โ€” Group similar decisions. Review 10 items in the time it takes to review 1.
  • Context-rich requests โ€” Agents provide all necessary context. Decide in seconds, not minutes.

Compliance Built In

Agents can be configured to follow the same rules as your employees.

  • Applicable laws โ€” GDPR, CCPA, industry-specific regulations enforced at the agent level.
  • Code of Business Conduct โ€” Upload your company's ethics policies. Agents follow them.
  • Internal policies โ€” Expense limits, approval chains, data handling rules enforced automatically.
  • Sector regulations โ€” HIPAA, SOX, PCI-DSS guardrails available out of the box.

What's forbidden to your employees is forbidden to your agents.

Governance that acts, not just reports

Most governance tools can tell you an agent misbehaved. The controls below are the ones that stop it โ€” checked on the platform's own runtime, not inferred from a dashboard.

๐Ÿ›‘

A stop that is enforced

Stopping a team is checked at every task dispatch and on every governed call โ€” a stopped team dispatches no work and an agent's next call is refused. An interactive run aborts the model call already in flight, so billing stops mid-stream.

๐Ÿ’ณ

Budgets that block

A budget that blocks the call, not a report that arrives after the invoice. A runaway loop costs you a rejected request instead of a weekend of spend โ€” enforced before the call is made, not reconciled afterwards.

๐ŸŽš๏ธ

Autonomy, calibrated

Uniform governance is what kills agent programs โ€” over-restrict and nothing ships, under-restrict and something escapes. Autonomy is set per activity and cascades across tenant, workspace, team and agent, with every decision recorded to its level.

The same enforcement extends to agents your teams built on other platforms: point them at the control plane and they inherit an assigned identity, runtime policy, an enforced budget, and that same stop โ€” no rebuild. See how estate-wide governance works →

The controls a CISO actually tests

Not a policy PDF - controls enforced on the platform's own runtime, deny-by-default, and provable in an audit.

๐Ÿšง

Egress containment

Outbound traffic from agent sandboxes runs through a containment gateway that records every destination an agent tries to reach, so you can build and review the allowlist from real traffic. Enforcement - refusing everything outside the allowlist - is being rolled out and is not yet on by default.

๐Ÿ”

Enterprise SSO / SAML

SAML 2.0 single sign-on against your identity provider, validated against real signed assertions. Your IdP stays the source of truth - no separate password estate to breach.

๐Ÿชช

Every agent has an identity

Each agent is issued a cryptographic identity (SPIFFE) at creation. Delegation is recorded as a hash-linked chain (signed tokens across organizations), so every action - and who authorized it - is attributable, never anonymous.

โ›”

Deny-by-default authorization

Nothing is permitted unless a policy explicitly grants it. Authorization fails closed - a missing or ambiguous grant refuses the action rather than allowing it through.

๐Ÿ•ถ๏ธ

Zero-persistence runs

Confidential mode runs an agent with no transcript, memory, or tool input/output retained - only billing metadata. For the work that must leave no trace, with a signed attestation that it didn't.

๐Ÿ›ฐ๏ธ

Governs agents built elsewhere

Point an agent built on another platform at the control plane and it inherits an identity, runtime policy, an enforced budget and the same stop - no rebuild. Your governance covers the whole estate, not only what you built here.

Governance that holds at 10,000 agents

A control that only works one agent at a time isn't a control at an enterprise. MeetLoyd's governance is a fleet primitive, not a per-agent chore.

Every agent - hand-built, deployed from a blueprint, or governed from another platform - is normalized to one canonical shape. So a single governed operation acts across the whole fleet:

  • Select any slice - by model, team, workspace, or tool - and save it as a living segment.
  • Preview the blast radius before anything changes - how many agents are affected, and how many are already compliant.
  • Act on hundreds at once - pause, resume, revoke a tool, cap a budget, set autonomy, reassign a team, or migrate a model across the selection.
  • Every change audited and reversible - each agent gets its own governed, logged record.

A saved segment - "every agent on a last-generation model in Support" - is a target you re-govern in one click as the fleet changes, not a list you rebuild by hand.

Fleet operation - preview

segment: model = claude-sonnet-4 ยท team = Support
matched: 312 agents
action: migrate โ†’ gemini-2.5-pro
key coverage: โœ“ every workspace has a key
eligible: 312 ยท already migrated: 0
apply โ†’ 312 governed changes, each audited & reversible

Multi-LLM Verification

For high-stakes outputs, one model isn't enough. MeetLoyd offers four tiers of verification โ€” from fast to bulletproof.

Think of it like hiring. A junior employee (Tier 1) is fast and cheap but needs supervision. A senior team with cross-checks (Tier 4) costs more but delivers near-perfect reliability.

You choose the reliability level. You control the cost.

  • 8 judge criteria โ€” Factual accuracy, reasoning logic, coherence, completeness, hallucination detection, instruction following, safety, uncertainty handling.
  • Optional fact-checker โ€” Cross-reference outputs against your knowledge base or RAG sources.
  • Full audit trail โ€” Every verification step logged. See exactly how consensus was reached.

Verification Tiers

T1

Self-Critique

Same model reviews its own output

1-2 LLM calls
Good
T2

Dual Judge

Producer A + Judge B (different models)

2-4 LLM calls
Better
T3

Adversarial Debate

2 Producers compete + 1 Judge selects

4-6 LLM calls
High
T4

Full Consensus

2 Producers + Consolidator + Judge + Fact-Check

6-12 LLM calls
Highest

Your Data. Your Control.

We don't train on your data. We don't sell your data. We don't even want your data.

๐Ÿ”‘

BYOK

Bring your own API keys. Model calls run on your own provider contract and are billed to you. They pass through our gateway for policy, PII redaction and audit - we never train on or sell that content.

๐Ÿข

On-Premise

Enterprise customers can deploy MeetLoyd in their own cloud account or data centre, as a signed release bundle. Available on request.

๐ŸŒ

Data Residency

The multi-tenant service runs in the EU - Google Cloud, Belgium (europe-west1). Other regions, your own cloud account or on-premises on request. Sub-processors →

Compliance Frameworks

Built for regulated industries from day one. Governance packs map platform controls to each framework and produce the evidence your auditors ask for. They support your compliance work - they are not a certification, and MeetLoyd holds no certification today.

Governance pack

GDPR

EU data protection & privacy

Governance pack

HIPAA

Healthcare data protection

Governance pack

EU AI Act

AI transparency & oversight

Aligned · roadmap

ISO 27001

Controls mapped; certification on the roadmap

Aligned · roadmap

ISO 42001

Controls mapped; certification on the roadmap

Governance pack

SOX

Financial controls & reporting

Governance pack

DORA

EU financial resilience

Governance pack

NIS2

EU cybersecurity directive

In Progress

SOC 2 Type II

Independent audit in progress

Sovereign AI Safety

LLM providers include built-in safety filters. MeetLoyd adds enterprise governance on top: configurable thresholds, audit trails, and vendor-agnostic policy. OpenAI also offers a free Moderation API — effective, but content leaves your infrastructure.

For organizations with data residency requirements, MeetLoyd's sovereign moderation runs BERT classification on MeetLoyd-operated infrastructure - or yours, on-premises - with optional escalation to a self-hosted safety model. No third-party moderation API. No API key needed. Near-zero carbon. Full audit trail. Designed to support EU AI Act obligations.

Learn About Sovereign Moderation Glossary Entry

Questions About Security?

Our team is happy to walk through our security architecture, our compliance roadmap (SOC 2 Type II and an independent penetration test are in progress), and deployment options.