Future AGI vs NeuralTrust (TrustGate)

Generate personas, scenarios and synthetic datasets to stress-test text and voice agents across many conversation branches before launch.

Combine always-free heuristic metrics, code evaluators and LLM-as-judge scoring, including agentic evaluators that localise errors in RAG and tool calls.

Route traffic across 15+ LLM providers with load balancing, failover and caching, plus 15 built-in rule-based guardrails and ML content moderation.

End-to-end traces, sessions, agent graphs, custom dashboards and alert monitors give real-time visibility into production behaviour.

One gateway for every agent call — to models, MCP servers, tools, and other agents — so routing, policy, and metering live in one controlled place.

Inline prompt inspection, PII redaction via data masking, and semantic caching with low overhead, targeting under 100 ms added latency at p95.

End-user identity is forwarded through every hop with per-agent and per-tool RBAC, so agents only reach what they are scoped to.

Point agents at OpenAI, Anthropic, Azure OpenAI, or self-hosted vLLM deployments, switch providers anytime, and stay up when a provider goes down.