The foundational layer of your sovereign AI infrastructure.

Sovereignty & AI contracts

Your data stays with you. Your AI, your contract.

• Deployment in your environment: on your servers, private cloud, European hosting depending on your constraints.
• Configurable model flows (which models, which data is sent, which guardrails).
• AI contracts directly with your providers: you keep your pricing, quotas, and terms.
• Auroramind does not resell credits and takes no margin on your model consumption.
• Nearly 600 LLM models can be accessed depending on your keys: each task can use the best quality/cost ratio.

Measured quality & observability

Continuously measure the relevance of retrieved passages, the coherence of answers, and alignment with sources.

• Goal: move from “it works / it doesn’t” to metrics that improve data, indexes, and prompts.
• Track and audit: latency, errors, success / no-context.
• Cache hits/misses, usage by teams, calling application, models used, and associated costs.

Performance & costs (cache)

Less latency. Lower costs. More reuse.

• Configurable cache: exact, semantic, or hybrid depending on the use case.
• Nexus semantically analyzes questions: if a close question already has a reliable answer, it reuses the stored answer without calling an LLM.
• Result: zero model cost on answers served from cache, lower latency, and less unnecessary consumption.
• Transparency: cache status, logs, and metrics.
• Cache is a setting: you choose when to prioritize cost, speed, or freshness of information.