TrustedRouter
AI NativePrivate, reliable LLM routing for production AI apps.
Published Oct 12, 2026
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Download full report →When a procurement process requires a current SOC 2 Type II report or specific ISO certifications.
When the procurement requirement is for end-to-end confidentiality guarantees that explicitly cover both the gateway and downstream providers for all traffic.
When a purely self-hosted architecture is required.
When default, rich payload logging is required for debugging and analytics.
Current limitations acknowledged by the vendor
Features on the roadmap (not yet available)
Scale limitations
Security or compliance gaps
Technical debt or architectural limitations mentioned in public sources
API limitations or integration constraints
Distinguishing technical attributes supported by public documentation
Limitations of unique selling point claims
Claimed results (as reported by the vendor): a large number of documents processed across multiple active matters, hundreds of thousands of pages analyzed, a substantial number of case insights generated, and high token usage in initial production.
Implementation notes (vendor-provided): base URL migration with API calls formatted for a specific third-party LLM provider, use of a mixed-model strategy to balance cost and performance, and selection of privacy-focused routing for sensitive tasks.
Critical evaluation: The case study relies on vendor-reported metrics and includes a measurement note indicating internal cross-checks. These elements increase plausibility but do not replace independent third-party verification.