Technology partner · Hong Kong
From the rack to the model.
We build the AI systems and the hardware they run on.
Three ways in: a costed audit before you commit, a pilot measured against a number you set, or a full build with the physical layer underneath it.
L1 / Hardware
Edge devices, servers, network and power — specified, installed, commissioned.
What we actually do
Seven services, one team, and no handoff between the software and the box it runs on.
SVC-01 / Software Development
Custom web and backend systems built to your operations, not to a template.
- A typed API and data model you own
- Web application and internal admin tooling
- Deployment pipeline, tests and a written runbook
Read the service detail
SVC-02 / Technology Consultancy
Architecture, audits and roadmaps — before you commit budget to a build.
- System, data-flow and cost audit
- Costed options paper with a recommendation
- Sequenced roadmap you can hand to any vendor
Read the service detail
SVC-03 / Hardware Implementation
Specification, procurement, install and commissioning of the physical layer.
- Site survey, bill of materials and rack elevation
- Install, cabling, network and power configuration
- Commissioning test results and a handover pack
Read the service detail
SVC-04 / AI Solutions
Models, RAG pipelines and decision systems wired into real business data.
- An evaluation set and baseline scores you can re-run
- Retrieval pipeline over your own documents and data
- Monitored endpoint reporting cost, latency and quality
Read the service detail
SVC-05 / Automation
Workflow, integration and process automation that removes manual handoffs.
- Process map with measured handoff timings
- Integrations between the systems you already run
- An exception queue for the cases that still need a person
Read the service detail
SVC-06 / Chatbots & AI Assistants
Voice and chat agents that handle support, intake, scheduling and triage.
- Intent and escalation model drawn from your own transcripts
- A voice or chat agent live on your channels
- Transcript review loop with weekly tuning
Read the service detail
SVC-07 / Web & Mobile Applications
Cross-platform products with AI capability built in from day one.
- Design system and shared component library
- iOS, Android and web from one codebase
- Release pipeline into both app stores
Read the service detail
SVC-08 / NOT SURE YET
Not sure which of these you need?
Most first conversations start with a process, not a service. Describe the one that costs you the most and we will tell you which of the seven applies.
Book a discovery call
How an engagement runs
Five steps. You can stop after any of them and still own what we built.
01
Discover
We read the system and talk to the people working around its gaps.
Findings and a costed set of options
02
Prototype
The riskiest assumption gets built first, small, and measured against a real number.
A working prototype and its score
03
Build
Production code in slices, with the tests and the pipeline in place from the first one.
Released software and its runbook
04
Implement
Hardware racked, systems cut over, staff trained on the thing they will actually use.
Commissioned system and handover pack
05
Operate
Monitoring, tuning and a support line — or a clean handover to your own team.
Support agreement or handover sign-off
Selected work
We publish a case study when the client agrees to the number in it.
Which means this section is empty rather than decorated. If you want references before you commit, ask on the call and we will arrange them directly.
WORK-01
Automation
The process before, the process after, and the measured difference between them — published when the client agrees to the number.
WORK-02
Hardware + AI
What was specified, what it runs on, and what it replaced. Photographs of the real installation, where we have written permission.
WORK-03
Software build
The constraint that shaped the build, and a before-and-after figure the client will stand behind in public.
What we work with
Written out, not shown as logos we have no permission to display.
STK-01
Languages and runtimes
- TypeScript
- Python
- Go
- Rust
- Node.js
- PostgreSQL
- Redis
STK-02
Cloud and infrastructure
- AWS
- Google Cloud
- Azure
- Cloudflare
- Kubernetes
- Terraform
- On-premises
STK-03
Model providers
- Anthropic
- OpenAI
- Mistral
- Open-weight models, self-hosted
- On-device inference
STK-04
Hardware categories
- Edge inference devices
- GPU servers
- Industrial gateways
- Network and PoE
- UPS and power distribution
- Sensor and camera arrays
Choice of stack follows the problem. We will tell you when the boring option is the right one.
Start here
Tell us the process that costs you the most.
A discovery call is 45 minutes and produces a written summary of what we heard and what we would do about it — whether or not you go further with us.
Or write directly: sales@genzoto.com