CAPABILITIES &TECHNOLOGY.
Zyvron Technologies works across five engineering disciplines. Each has its own page explaining what it covers, the problems it solves and the technologies involved.
Most engagements draw on more than one — a product build usually needs infrastructure behind it, and automation work often turns out to need a small amount of AI rather than a lot.
PRODUCT ENGINEERING.
taking a digital product from concept and architecture through build, launch and iteration, with the team that designed it staying with it.
02 // SERVICEAI & INTELLIGENCE.
private LLM integrations, document extraction and predictive models built into your own software, with strict data-privacy boundaries.
03 // SERVICEBUSINESS AUTOMATION.
connecting disconnected tools into self-executing pipelines and removing the manual re-entry between them.
04 // SERVICECLOUD & INFRASTRUCTURE.
designing, migrating and running infrastructure with containerisation, auto-scaling, CI/CD and monitoring.
05 // SERVICECUSTOM SOFTWARE.
systems built around how your business actually operates, with full source ownership and no per-seat licensing.
Capability detail
CUSTOM SOFTWARE
Bespoke enterprise applications engineered for ownership and scale. No recurring fees, total IP ownership.
INTELLIGENT SYSTEMS
Private LLM integrations, document extraction, and predictive neural networks that never train public models.
WORKFLOW ORCHESTRATION
Connecting disparate business tools into cohesive, self-executing pipelines to eliminate manual data entry.
MULTI-VENDOR COMMERCE
Complex marketplace architectures supporting high-concurrency, vendor commissions, and real-time routing.
PERFORMANCE APPS
Sub-second Next.js web applications and cross-platform native mobile experiences built on Flutter.
CLOUD & DEVOPS
Auto-scaling AWS/Azure deployments with 99.99% uptime SLAs and CI/CD pipeline automation.
Not sure which of these your problem falls under? Describe the process as it works today and we will tell you.
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