Nexus
NEXUS
The knowledge layer that makes AI reliable in your company.
Nexus turns your documents into AI-ready knowledge, accessible through an API, and delivers sourced answers to all your applications (chatbot, support, CRM, intranet…).
Nexus isn’t a chatbot: it’s the infrastructure.
Response within 24–48 business hours. Demo on your use case and data (when possible).
Reliable
Answers with citations. And if the information isn’t in your sources: no source = no answer.
Sovereign
Deployable in your environment (on your servers, private cloud, European hosting depending on your constraints).
Transparent
You stay in control: AI contracts with your providers, no credit resale, no margin taken by Auroramind on your model usage.
Your teams don’t lack AI. They lack reliable information.
Scattered information
Information is scattered across document management, shared drives, intranets, PDFs, emails, wikis, and business tools.
Time lost searching
Too much time is spent searching (and decisions are made on approximate versions).
Answers without proof
Language models answer fast… but without proof, with costs that are hard to control at scale, and without information-system governance.
The challenge isn’t “adding a chatbot.” The challenge is making company knowledge accessible, traceable, and governable.
A chatbot is an interface. Nexus is the foundation.
You’re not choosing “a chatbot.” You’re choosing a durable AI architecture for your company.
Once Nexus is in place, you plug AI where the business needs it.
Internal support
HR, IT, health & safety procedures, onboarding, internal references: sourced, consistent answers accessible by role.
Customer support
Unified knowledge base: faster, consistent answers with citations when relevant.
CRM / Sales
Sales decks, proposals, standard replies, product documentation: the right info at the right time without digging through ten folders.
Monitoring & summaries
Content ingestion, summaries, and history: you capitalize instead of losing information across tabs.
Finance / procurement
Policies, contracts, tenders, supporting documents: find, verify, compare—faster and traceable.
Legal / compliance
Clauses, obligations, case files, collective agreements: find precise passages, cross sources, reduce version errors.
Training / content
Generate training materials, social media content, and blog posts: fast, consistent output grounded in your own sources.
Knowledge bases
Complex document bases, research articles, service-based categorization: ingest large volumes and let users query in natural language.
Nexus delivers knowledge through an API. The interface (chatbot, portal, widget, extension) comes after—based on your use cases and information system.
Nexus speaks your language.
Nexus supports multilingual flows (inputs in one language and outputs in another). Separately, the admin interface is available in 5 languages: French, English, German, Spanish, and Portuguese.
Nexus integrates with the modules that feed and exploit your knowledge base.
Chatbot
The conversational interface that queries Nexus in real time to deliver sourced, reliable, governed answers.
SideLens
From web to deliverable: SideLens extracts, analyzes, structures, and pushes content directly into Nexus to enrich your knowledge base.
Scraper
Automates web source collection, cleans pages, and feeds Nexus with RAG‑ready corpora.
+800 apps connectable to Nexus
Feed your Nexus knowledge base from your favorite applications.
Gmail
Notion
Slack
GitHub
Google Drive
Shopify
HubSpot
Jira
Airtable
Anthropic
OpenAI
Mistral
Bright Data
Canva
Databricks
Dropbox
Dynamics 365
Excel
Google Workspace
Facebook
Figma
Firecrawl
GitLab
Google Calendar
Google Maps
Instagram
WordPress
Stripe
Mailchimp
Teams
Outlook
Microsoft OfficeExample input / output flows
(among hundreds of possibilities)
Support & incidents
Tickets and commits enrich Nexus to generate summaries and ready-to-share responses.
Inputs
JiraGitLabOutputs
TeamsOutlookInputs
Outputs
JiraGitLabTeamsOutlookSocial content & brand
Creative assets feed Nexus to generate posts and content variants.
Inputs
FigmaCanvaOutputs
FacebookInstagramInputs
Outputs
FigmaCanvaFacebookInstagramMonitoring & Newsletter & Blog
Web sources are consolidated in Nexus, then turned into ready-to-send campaigns or blog articles.
Inputs
FirecrawlBright DataOutputs
MailchimpWordPressInputs
Outputs
FirecrawlBright DataMailchimpWordPressSales & finance
CRM and payment data structure Nexus to produce briefs and follow-ups.
Inputs
HubSpotStripeOutputs
OutlookTeamsInputs
Outputs
HubSpotStripeOutlookTeamsTwo perspectives, one foundation.
Reliability
- Citations and traceability.
- No source: no answer.
- Fewer approximations in decision-making.
Governance
- Spaces by teams and departments (workspaces).
- User access control.
- Audit: who asked what, with which sources, and which result.
Steering
- Adoption: what’s used, by whom, and where it breaks down.
- Quality: relevance, failures, areas to improve.
- Costs: tracking and control (models used, cache, volumes, drift).
From your documents to sourced answers—continuously.
Technically, this mechanism is called Retrieval-Augmented Generation (RAG).
- 01
Ingestion
Your sources are turned into structured content, ready for search and grounded generation.
- 02
Retrieval
For each question, Nexus finds the right excerpts (the truly relevant passages).
- 03
Delivery
Your applications receive a sourced answer (excerpts and metadata) that is immediately usable.
For the curious
Technically, this mechanism is called Retrieval-Augmented Generation (RAG). To learn what a RAG platform is, you can request our white paper for free.
Nexus can connect to a chatbot, but stays independent from the interface: you keep the freedom to evolve your use cases.
Three pillars to industrialize AI.
Data control, measurable reliability, and cost mastery: Nexus brings the fundamentals to deploy AI at scale.
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.
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.
- Reduces calls to language models for repetitive questions and speeds up responses.
- Transparency: cache status, logs, and metrics.
- Cache is a setting: you choose when to prioritize cost, speed, or freshness of information.
Implementation: a standard framework that adapts to your existing architecture.
The goal: a first operational, measurable knowledge base integrated into your usage—without a never-ending project.
Scoping & priorities
Sources to connect, scope (teams), access rules, priority use cases.
Source connection & initial ingestion
Import priority repositories, transform and structure, deliver the first usable references.
Governance & rights
Workspaces, roles, scope, usage guardrails.
Quality & observability
Metrics, logs, dashboards: measure what works and what blocks adoption.
First integration
A chatbot (if desired) or an existing application through the API (CRM, intranet, support…), or a dedicated interface built by Auroramind.
Indicative timeline
Standard framework: a few weeks depending on scope (volumes, rights, connectors, security requirements).
Frequently asked questions
Have another question? Write to us and we’ll get back quickly.
Ready to build a reliable AI foundation for your company?
Start with a solid base (Nexus), then connect the interfaces and applications your teams really need.