Add a real governed AI layer to your suite, without a full rewrite.
Nexus integrates above your existing stack (SQL + documents + API) to deliver a reliable, sourced knowledge foundation for your teams and end users.
You keep your business logic, modernize the user experience, and accelerate your AI-first go-to-market.
Custom pricing - OEM license - White-label option
Unified knowledge layer
SQL, documents, and APIs connected in one queryable layer.
Modernized AI experience
Add a clean interface without rewriting your core business logic.
Governance and security
RBAC, logs, traceability, and observability for usage and costs.
Progressive migration
API-first, UI pack, or hybrid mode depending on your roadmap.
Before / After product modernization
Your product has grown. AI changes the rules.
Many software publishers are blocked: the historical architecture still works, but it was not designed for an AI-first user experience.
Heavy legacy and UI debt
Overloaded screens, complex flows, and difficult modernization without breaking existing behavior.
Data spread everywhere
SQL, documents, exports, business rules... hard to turn into usable knowledge.
Cosmetic AI
A few “marketing” features that do not truly transform the user experience.
The right strategy: add a governed AI layer on top of your data, then modernize progressively.
Nexus above your existing stack: same data, new experience.
Nexus becomes the common knowledge layer: it ingests your sources (SQL + documents + API), builds queryable knowledge, and exposes it through APIs to your application.
- Search and sourced answers: citations, traceability, fewer errors.
- LLM cache: better latency and controlled costs.
- Governance and observability: permissions, logs, quality, usage, spend.
You get an industrial-grade AI foundation.
Then you can connect a modern UI (optional) and your AI agents to deliver an AI-first experience.
Integrate Nexus based on your product and roadmap.
When to choose: keep your UI and add AI endpoints.
What Nexus provides
- Endpoints: search, sourced Q&A, summaries, extraction, classification, actions.
- Governance, logs, and cost monitoring.
Your team
- UI integration, UX, business workflows, and application permissions.
Outcome: visible AI quickly, without breaking your product.
Business packs
Each pack = dedicated application connectors + a data model adapted to your company + AI tools + user interface
Recruitment
Reduce time-to-hire, improve selection quality, and increase hiring accuracy.
Accounting
Accelerate close cycles, reduce errors, and improve financial visibility.
Construction
Cut site admin load, protect margins, and anticipate delivery drifts.
Support/IT
Lower resolution time, improve support quality, and control backlog growth.
Sales
Increase conversion rates, shorten sales cycles, and improve pipeline reliability.
Knowledge bases
Turn large corpora (insurance, research, compliance) into sourced answers and instant retrieval.
An OEM model designed for software publishers.
You monetize software value (platform + pack + UI), not token consumption.
- Annual OEM license (based on functional scope, volume, constraints)
- Royalty per instance / end client (or tiers)
- Optional: integration support + knowledge transfer + support
You
You keep the client relationship, product roadmap, and control of your business UX, while shipping an AI-first solution in weeks.
Your clients
They benefit from a reliable, sourced, and governed AI experience without disrupting habits.
Self-hostable - Governance (RBAC, logs) - Cost observability
A clear plan to ship fast, without a Big Bang.
30 days - Framing and proof
- Architecture, security, and data-model framing
- Connection to a test environment (SQL + docs)
- Demo: “question -> citation -> action” on a real use case
60 days - Product integration
- API endpoints integrated into your suite
- First core AI module (global search / sourced assistant)
- Observability: costs, latency, quality
90 days - Industrialization and launch
- Business pack stabilized
- Full governance + logs/audit
- Go-to-market: messaging, assets, client onboarding
Example: a legacy ATS modernized into an AI-first experience.
Context
An ATS publisher with a multi-client SQL database and a legacy UI (WinDev) wants to deliver an AI-first experience without a full rewrite.
What gets implemented
- Export of client SQL databases + documents (CVs, reports). Once cleaned, they become the “business pack”.
- Data ingestion by Nexus, which then provides sourced search, cache, APIs, and observability for each client.
- Deployment of a modern React UI + AI agents connected to Nexus data (scoring, matching, summarization).
Typical outcomes
- Instant search + sourced answers across the full corpus
- Less UI friction: AI becomes a business copilot, not a gadget
- Clear roadmap: progressive module migration
Want to become AI-first without rebuilding your product?
In 30 minutes, we qualify your current architecture, your data, the integration model, and a 30/60/90 plan.
Reply within 24-48h - NDA possible