AI solutions, built around your challenge.
When your problem doesn't fit a product, we build for it. DataSing designs and delivers bespoke AI solutions in Microsoft Azure AI Foundry – scoped to your data, your policies, and your definition of done. From problem framing through to production, deployed where it suits you: our NZ Azure tenancy, or your own.
“Our doubts are traitors, and make us lose the good we oft might win, by fearing to attempt.

Not a prototype. A production system.
Plenty of teams can stand up an AI demo. Far fewer can deliver something your organisation can actually depend on – auditable, secure, and supported. That's the bar we build to. Every bespoke engagement is grounded in the same Evidence-First platform and the same NZ-hosted, independently audited infrastructure behind the Clarivus product suite.
Hosted your way
We host the solution in our independently audited NZ Azure tenancy, or deploy it into your own – whichever fits your security posture. Either way, your data stays in New Zealand.
Evidence-first by default
Citations, provenance, and guardrails are designed in from the start – not retrofitted once someone asks where an answer came from.
Owned through to production
We don’t hand over a proof of concept and walk away. We integrate, document, and support the solution as a real system.

How we build.
AI isn't a waterfall. We work in tight loops – framing, prototyping, validating – so you see something real early, and we adjust before it gets expensive to. You sign off each phase before the next begins.
Problem framing
We frame the problem precisely – the decision it supports, the evidence it rests on, and what “good” actually looks like. Most AI work fails here, long before the modelling.
Rapid prototyping
We build a working prototype fast, in our own Azure AI Foundry tenancy, so you can see the approach running on real data within weeks – before committing to a full build.
Validation & evidence
We test against real cases – accuracy, edge cases, guardrails, and the evidence trail – so you see exactly where the AI is reliable and where a human stays in the loop.
Change assessment & rollout
AI changes how work gets done. We assess the impact on your team and workflow, then move to production – improving it as real use generates feedback.
Built on the Evidence-First platform.
Every bespoke solution inherits the three proprietary pillars behind everything we build – the same foundation that underpins the Clarivus product suite.
Evidence Packs
Complete audit trails – citations, provenance graphs, and decision traces on every AI output.
Knowledge Graphs
AI constrained to your approved concepts, terminology, and relationships – eliminating hallucinations.
AI Guardrails
Your policies enforced automatically at runtime – every output validated, every refusal explained.
The kinds of problems we build for.
Bespoke work is, by definition, varied. But some shapes recur. If one of these is exactly your problem, there may already be a Clarivus product for it – if it isn't, this is where we start.
Document-heavy workflows
Analysis, extraction, and synthesis across large volumes of text.
Decision support
AI that surfaces the right evidence at the moment a decision is made.
Classification & triage
Routing high-volume inbound to the right place, faster.
Knowledge retrieval
Plain-language answers grounded in your own records and policies.
Monitoring & detection
Continuous checks across entities, obligations, or content.
Drafting & summarisation
First drafts and summaries that stay traceable to their source.

Why DataSing for a bespoke build.
We're a New Zealand company that builds AI for organisations that can't afford to get it wrong. Not a Silicon Valley startup, not a reseller – a delivery team with skin in the game for NZ outcomes.
- Certified Azure AI Engineers and Azure Solutions Architects
- 55+ data and AI platforms delivered; 12+ AI agents in production
- Proven across New Zealand’s public sector and other high-scrutiny environments
- Hosted in NZ Azure regions, independently audited annually by Bastion Security
- Callaghan Innovation R&D grant recipient
