Custom AI That Actually Ships
We don't hand you a lengthy roadmap — we deliver working AI systems. Eight live AI applications in production across paving, restaurant equipment, content moderation, and enterprise document discovery.
Every engagement starts with the problem, not the model. We scope for feasibility first, build against fixed milestones, and deploy where it fits your business — cloud, self-hosted, or in the browser. What we ship is production-tested and meant to keep running, not to demo once.
Our Production AI Services
These are live, in-production AI services you can put to work — each with its own detail page covering how it's built, where it runs, and what it delivers. Pick the one closest to your problem, or book a feasibility call and we'll point you to the right fit.
How We Work — Four Phases
We keep engagements predictable with four clear phases, each ending in a concrete deliverable you can review before we move on.
Phase 1 — Technical Discovery & Feasibility
- 1–2 weeks
- Deliverables: feasibility brief and architecture diagram.
Phase 2 — Roadmap & Milestones
- 1 week
- Deliverables: milestone plan and fixed-scope quote.
Phase 3 — Development & Testing
- 4–12 weeks
- Deliverables: working AI, test reports, and UAT sign-off.
Phase 4 — Deployment & Integration
- 1–2 weeks
- Deliverables: live system, runbook, and ongoing support.
Why Nirvana
We build AI as a full-stack agency, not a lab experiment — which means what we ship integrates with your stack and holds up in production.
Deployment flexibility
Run it in the cloud, self-hosted on your infrastructure, or entirely in the browser, depending on your privacy and cost needs.
Full-stack agency
19 years of web, design, and marketing experience behind every build, so the AI fits the wider product and brand.
Production-tested code
Audit- and SR&ED-defensible engineering, written to keep running and to stand up to review.
Talk to Us About AI
Tell us the problem and we'll tell you honestly whether AI is the right tool and what it would take to ship it.
Your Questions, Answered
How do you decide which AI model to use?
We prioritise solving the problem over using a trendy model — we test GPT-4o, Claude, Gemini, or self-hosted Ollama on your data and choose on accuracy, latency, and cost.
Where does the AI run — cloud or on our own infrastructure?
Whichever fits your privacy, latency, and cost needs. We deploy to the cloud, self-host on your infrastructure, or run models in the browser, and we recommend the option during the feasibility phase.