What we build
Bespoke enterprise AI, in five solutions
Each engagement is built for the business in front of us. The five solutions below name where each kind of AI fits in your business.
Trusted by enterprise data and AI leaders
Every project starts with the same question: where does the AI need to go? The answer shapes everything that follows. Five solutions cover what we build most, with Agentic Infrastructure as the foundation the other four run on; each has its own page below.
-
Knowledge Agents
For your team.
AI that finds what your organisation already knows, scoped to what each user is authorised to see.
Mott MacDonald: 20,000+ staff globally, deployed in under six months.
-
Customer Assistants
For your customers.
AI that answers questions at scale, with the reliability customer-facing work demands.
University of Auckland: 70,000+ conversations in year one, 90%+ containment.
-
Agentic AI
For your systems and tools.
AI that takes action across the tools your business runs on, not just AI that answers questions.
Production agents already in operation across ElementX's own back office, plus customer engagements under NDA.
-
Bespoke Builds
For everything else.
Computer vision, document intelligence, forecasting, classification, and the other systems we build for specific jobs.
Five years of production deployments across regulated sectors.
-
Agentic Infrastructure
For your platform and security teams.
The data foundations, agent runtimes, and deployment paths your AI runs on: on-premises, in a sovereign New Zealand data centre, in private cloud, or at the edge.
Mott MacDonald: a knowledge assistant for 20,000+ staff, inside its own security model.
The five solutions above sit on more than a decade of production AI in enterprise environments
ElementX builds AI into messy enterprise reality, and has evolved from NLP and machine learning into GenAI, agentic orchestration, and full-stack AI engineering. The technology changes; the discipline (production-grade build, governance baked in, your team owns what we hand over) does not.
- Education
- Insurance
- Infrastructure
- Finance
- Retail
- Healthcare
- Government