Brands we've worked with
Every discipline it takes to ship AI. Connected.
- AI Strategy Consulting
- AI Readiness Audit
- Agentic AI Automation
- Generative AI Development
- LLM Development & Fine-Tuning
- RAG Knowledge Systems
- Machine Learning Development
- Computer Vision
- NLP & Conversational AI
- Voice AI Agents
- AI Data Engineering
- MLOps & AI Infrastructure
- Enterprise AI Platform
- Custom Software Development
- Web Development
- Mobile App Development
- Product & UX Design
- Cloud & DevOps
- QA & Test Automation
- Dedicated Teams
- SEO & GEO
- Performance Marketing
- Content & Video
- Social & Community
- Brand Identity
- Marketing Automation & CRM
- Digital Transformation
- Technology Consulting
- ERP & CRM Integration
- Data Analytics
Each practice stands on its own. The value is that you do not have to assemble them yourself.
Four practices, one team
From readiness audit to production agents: strategy, RAG and knowledge systems, fine-tuned models, and the MLOps to keep them running.
All AI servicesFrom audit to running system
The same path every time — sized to the engagement, never skipped.
Audit
We start by finding where AI actually pays back: your data, your systems, and the use-cases worth building. The output is a scoped plan with an honest go/no-go.
The AI readiness auditBuild
One team ships the model and everything around it — the data pipeline, the integrations, and the interface people will actually use.
Deploy
Production means measured: evaluation before launch, monitoring after it, and a number that has to move.
Run
We stay for the part most vendors skip — maintaining the system, iterating on it, and doing the growth work that gets it adopted.
What the team has delivered
Nexiour was founded in 2022. These are the team's delivered projects across five-plus years, including engagements that predate the company — the same honest framing as the brands we've worked with. They count what shipped, not what was pitched.
- Projects delivered
- 100+
- Companies served
- 50+
- Countries
- 10+
- Years of team experience
- 5+
Where we deploy it
AI is deployed very differently by sector. What changes is not the technology but the constraints around it.
Healthcare
Where AI is actually deployed in healthcare today — documentation, triage, imaging, operations — and the regulatory limits that shape what you build.
Fintech
Fraud detection, credit decisioning, KYC automation and customer operations — built with the explainability and audit trails financial regulators require.
Retail & E-commerce
Demand forecasting, personalisation, content generation and support automation — the applications that move margin rather than just impressing in demos.
Manufacturing
Visual inspection, predictive maintenance, demand planning and process optimisation — with honest assessment of whether your data and imaging support them.
Real Estate
Lead qualification, document processing, valuation support and tenant operations — the applications that actually shorten property transaction cycles.
Education
Content generation, assessment support, administrative automation and learner analytics — with the safeguarding and data rules that govern student data.
Logistics & Supply Chain
Demand forecasting, route optimisation, document automation and exception handling — including honest advice on when the answer is optimisation, not AI.
Travel & Hospitality
Booking assistance, guest communication, revenue forecasting and review analysis — plus why AI search is reshaping how travel gets discovered.
Media & Entertainment
Content operations, archive search, localisation and audience analytics — with clear-eyed treatment of rights, licensing and provenance.
Legal & Professional Services
Document review, research, drafting and knowledge retrieval — built with the verification and confidentiality controls professional practice requires.