Zeltriva combines design, engineering and AI to turn ideas into digital products and services quickly.
You do not need to choose a technology first. Start with what needs to change in the business.
Turn an important idea into working software, then take it into production.
Explore → 02Improve an existing application, workflow or platform without replacing everything.
Explore → 03Use agents, AI search and automation where they can remove real operational friction.
Explore →Turn your idea into working software you can see, use and test.
↗ 02Turn a working demo into a reliable product ready for real users.
↗ 03Keep improving your product with a senior engineering team that stays close to the work.
↗Selected systems that support real teams, decisions and day-to-day operations.
A system to collect, review and validate workforce data across projects, activities, contracts, implementing agencies and reporting periods.
Web and mobile workflows supporting licensing, inspections, administration and field operations for a national professional body.
Three recruitment platforms built to connect employers and jobseekers through hiring workflows, applications and large-scale candidate data.
Senior engineers stay close to the problem. AI accelerates the work. Fewer layers. Better decisions. Working software sooner.
Experienced engineers stay close to the problem—not just the supervision.
We use AI across research, coding, testing and documentation—not as an add-on at the end.
Fewer handoffs. Faster decisions. Direct access to the people building the product.
See it, use it and improve it while the important decisions are still easy to change.
We design and engineer AI capabilities that connect to real data, tools and workflows.
Agents that can reason, use tools and complete useful work across business systems.
Explore → 02Connect AI securely to applications, data and operational workflows.
Explore → 03Make company knowledge easier to find, understand and use with grounded AI.
Explore → 04Connect agents to tools, applications and emerging agent infrastructure.
Explore → 05Bring useful AI capabilities into existing products without starting again.
Explore → 06Help software teams adopt coding agents and AI-native engineering practices.
Explore →The advantage is not fewer people. It is more capability per senior person.
Read perspective ↗ PRODUCT ENGINEERINGA compelling interface is only the beginning. Production software needs a system behind it.
Read perspective ↗ MODERNIZATIONThe next modernisation layer is not another interface. It is a machine-usable capability layer.
Read perspective ↗Each row expands to show what is included and when it makes sense.
Ideal when the goal is to prove one important workflow quickly and leave with functional software instead of a specification.
Ideal when a prototype already demonstrates value but the architecture, data model and operations layer are not yet production-ready.
Ideal when the product needs multiple roles, more complex workflows, agent features, integrations or stronger operational requirements.
Ideal when you need a small senior team that can inherit context, ship consistently and evolve the product without rebuilding knowledge every month.
Ideal when the work spans multiple systems, departments or delivery tracks and needs a dedicated product pod or modernisation program.
Our strongest work sits where software meets complex workflows, multiple stakeholders, approvals and data.
AI helps us move faster. Engineering discipline is what makes the result usable in production.
Clear boundaries, maintainable code and sensible technical decisions.
Role-based access, secure integrations and appropriate controls for sensitive systems.
Testing, deployment pipelines, documentation and repeatable release practices.
Systems your team can understand, operate and continue improving after launch.
Bring us an idea, a prototype or a product already in production.
Discuss a project ↗