nao vs TrustedRouter: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of nao and TrustedRouter — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.
nao
nao Labs
An AI data editor that understands data work and helps teams clean, transform, and analyze data faster.
Key features
- Editor-centric interface tailored to dataset editing
- Intelligence that understands common data work tasks
- Assisted data cleaning and transformation suggestions
- Natural-language-driven commands and queries for datasets
- Workflow acceleration to reduce manual data preparation time
- Collaboration features for team-based data work
- Integrations/connectors to common data sources (implied)
Best for
- Cleaning and preparing datasets for analysis or ML training
- Rapid transformation and reshaping of tabular data
- Collaborative dataset editing and review
- Prototyping ETL or data pipeline transformations
- Accelerating spreadsheet-style data workflows with intelligent suggestions
TrustedRouter
Lore Hex Corp
OpenAI-compatible gateway to 600+ models across 90+ providers, routed through an attested enclave that logs no prompt or output content.
Key features
- One OpenAI-Compatible Endpoint: Point an existing OpenAI SDK client at api.trustedrouter.com/v1 and reach 600+ models across 90+ providers and three clouds without rewriting call sites.
- Attested No-Log Prompt Path: Requests cross a gateway running in a Trusted Execution Environment that publishes no prompt or output logs, with the image digest matchable to a public source commit before production traffic moves.
- Routing Promise Aliases: Named models like trustedrouter/auto, /zdr, /e2e, /eu and /synth make failover, zero-retention, confidential compute, EU residency and multi-model answers explicit at request time.
- Provider Failover and Regional Routing: Automatic rollover to healthy providers keeps one upstream outage from becoming an application outage, with region-constrained routes available.
- Bring Your Own Key: BYOK preserves existing committed-spend discounts and enterprise rate limits while still gaining the attested prompt path and unified API.
- Per-Model Published Pricing: Input, cached-input, output and provider-specific prices are listed per model, with a flat 5.5% markup and no monthly plan.
- Agent-Ready Discovery: Agents can read llms.txt or connect through the provided MCP server instead of scraping documentation.
- Open Source Codebase and SDKs: The gateway is fully open source with JS/TS, Python and Go clients, so privacy and attestation claims can be independently audited.
Best for
- Regulated Data Processing: Running legal, medical or financial documents through LLMs where a no-retention, inspectable prompt path is a client requirement.
- OpenRouter Migration: Moving an existing multi-model application to a cheaper gateway with one base_url change and no client rewrite.
- Cost Optimization Across Models: Routing routine traffic to open models like Qwen, GLM, DeepSeek, Gemma, Kimi or MiniMax while keeping frontier models available for hard requests.
- EU Data Residency: Constraining inference to European providers for workloads governed by EU rules.
- Production Reliability Engineering: Using provider failover so a single vendor outage does not take down a customer-facing AI feature.
- Enterprise Spend Consolidation: Unifying several provider contracts behind one API and one key while keeping negotiated BYOK discounts.