About ValGuard.ai

ValGuard is the deterministic management layer for multi-agent LLM systems. It sits between your application and model providers, enforcing rules for structure, compliance, code quality, and failure prevention.

No stack replacement. No second model judging the first. Change one URL. Everything else stays the same.

Why it exists

Multi-agent systems fail in ways that are hard to detect and even harder to audit.

• Models produce answers that look correct and then break the pipeline.
• A finance request gets routed to logistics.
• Schema falls apart two steps later.
• Costs spike because the cheap model missed the error.
• Audits start with support tickets instead of clean logs.

ValGuard fixes this at the infrastructure level. Rules are deterministic: the same input always produces the same verdict. Zero black-box judges. Zero extra model round-trips.

Shadow Mode

Run every rule against live traffic without blocking a single request. Measure impact, false-positive rates, and coverage first. Switch from observation to enforcement only when the data confirms the rules are solid.

This allows teams to introduce strict validation without risking production regressions.

What you get

One layer covers four systems:

• Orchestration

  Agent routing, conditional branches, tool calls, and ready-to-use playbooks (63 production workflows).

• Validation

  160+ rules across Core, Compliance, and Code packs. Schema checks, PII, HIPAA, PCI, GDPR, IBAN, PESEL, and more. Rule checks run in microseconds; blocks and repairs stop bad handoffs before the next agent (re-ask actions call the model again).

• Cost Control

  Per-agent budgets, token caps, and cheap-first fallback. Premium models run only when the cheaper one fails validation.

• Observability

  Full audit trail, structured validation logs, and drift alerts. Export to PDF or CSV for audits. Shadow Mode included from day one.

These four systems form a single deterministic layer that standardizes agent behavior across the entire stack.

Deployment

Available as SaaS or a full-stack self-hosted deployment. OpenAI-compatible. SDKs for Python, Node.js, Go, and C#. Provider vault supports private endpoints including vLLM, Ollama, and internal models.

Designed to integrate with existing agent frameworks without architectural changes.

Measured performance

All measurements were taken on production workloads under sustained traffic. See the benchmark report for environment details.

Who it is for

Teams shipping agents in finance, insurance, healthtech, and enterprise environments. Places where a single bad output cannot reach a customer, an ERP system, or an audit. Where compliance and engineering need to share the same set of rules.

Background

ValGuard comes from Neteos: 26 years of production systems experience across architecture, build, AWS operations, and reliability layers around AI models.

Previous work includes event platforms handling peaks of ~20 000 concurrent viewers, multi-million MLS listing ingest, and backend infrastructure for enterprise brands such as Delta, FedEx, and SkyTeam.

Systems that must stay up on dates that cannot move.