TrustedRouter Raises $1.25M for AI Routing
TrustedRouter raised $1.25M to build an open-source, verifiable router across AI models and providers.
As companies adopt multiple AI models, the routing layer is becoming part of the developer infrastructure stack.
What happened
TrustedRouter raised a $1.25M seed round to build an open-source, verifiable AI router.
The company says its system routes queries across hundreds of models and providers to optimise for cost, reliability, region and privacy. The goal is to give developers more control over how model requests are distributed instead of hard-coding one provider into every workflow.
Why it matters
The AI market is becoming multi-model. Enterprises may use different models for reasoning, coding, translation, image work, speed, cost or data-residency requirements.
That makes routing a real infrastructure problem: which model should handle which task, under what constraints, with what auditability?
The bigger picture
The model layer is only one part of the AI stack. As adoption matures, more value may move into orchestration, routing, monitoring, permissions and reliability software that helps companies use many models safely.