Engineering AI-Native Products for the Modern Enterprise
We don't sell pilots. We engineer production AI that is governed, auditable and model-agnostic, then run it beside your teams until it moves the number that matters.
Most enterprise AI stalls between the demo and the audit.
The model was never the hard part. The hard part is evidence: who approved this prompt, which data left the boundary, what the system said to a customer at 03:14, and whether you can prove it to a regulator eighteen months later.
Zitrino builds the other 80%: the control plane, the connectors, the evaluation harness and the operating discipline, so the intelligence you buy actually reaches production and stays there.
Seven products. Three layers. One control plane.
Adopt a single product or the whole stack. They share identity, policy, connectors and telemetry, so the second deployment is always faster than the first.
Govern
AI security and assurance for everything else in the suite. Policy, detection and threat posture in one place.
Secures prompts, output, tool calls, retrieval and every agent step against your policy, inside your own perimeter.
Turns raw threat feeds into business-prioritised intelligence, scored on your asset criticality and exposure.
The register above the runtime: AI inventory, risk classification, model documentation and audit-ready evidence.
Build
Where teams create. Agents, modernised code and an AI-native developer surface, all inheriting governance.
Design, orchestrate and ship multi-agent workflows on any model, with human checkpoints where they matter.
Understand, document and translate COBOL, PL/SQL and monoliths into tested, maintainable services.
Fast, minimalist text editor built with Rust and Tauri. Under 300ms startup, no Electron, 60+ languages.
Operate
Intelligence in the hands of the business: support and commerce, running every day.
Grounded answers across policies, tickets and systems of record, with permissions enforced per document.
Merchandising, guided selling and service agents that respect margin rules and brand tone at catalogue scale.
If you can't see it, you can't sign off on it.
ZNYX gives risk, security and the board the same view engineering has, in real time, on every model call, across every product in the suite.
The 7D method.
A repeatable path from business question to governed production system. Every phase has an exit artefact your architecture review board can actually read.
Discover
We start with the P&L line, not the model. Two weeks inside your workflows to find where intelligence actually changes an outcome, and where it would only add latency.
Outcomes we were held to.
Each engagement ships with a baseline, a target and a measurement plan agreed before a line of code is written.
ChatLite grounded in 40 years of policy documents, with permission-aware retrieval and full answer provenance.
ZITRANX mapped and translated a 2.1M-line policy administration core into tested services over three releases.
ShopLite guided selling across 480k SKUs with live inventory grounding and margin-aware recommendations.
GuideLite unified telemetry, manuals and scheduling into one technician-facing assistant across 60 depots.
Regulated by default, not by exception.
Explainability that survives a supervisory visit.
Advice, underwriting and surveillance assistants where every recommendation carries its sources, its policy version and the human who approved it.
Product teams, not staff augmentation.
Small senior squads (architect, ML engineer, platform engineer, designer) embedded with your people and accountable to your metric. You keep the code, the models and the runbooks.
Certified, attested, and ready for your review board.
Security questionnaires, DPIAs and model cards are pre-built. Most reviews close in days, not quarters.
Field notes from production.
Bring us the problem your last AI vendor couldn't get past legal.
Forty-five minutes with an architect, not a salesperson. You leave with a feasibility read, a governance plan and an honest answer on timeline.