Hong Kong · AI engineering and delivery for global expansion

Deploy AI into your business,
and keep the capability in-house

ZENNOVA provides end-to-end AI services for companies expanding overseas — from model selection and knowledge-base construction to cloud or on-premise deployment and integration with your existing systems. The result is AI that becomes a production capability you can launch, operate and audit.

  • Data can be deployed in the region you choose
  • Meets GDPR and other data-compliance requirements
  • Every answer traceable, every process auditable
  • Delivery signed off milestone by milestone
Deployment TopologyMULTI-REGION READY
01 DATA
Business documentsDatabasesWeb pages & internal materialBusiness system APIs
02 INTELLIGENCE
Model selectionRAG knowledge baseAgent orchestrationQuality evaluation
03 DELIVERY
Cloud / on-premiseMulti-region data residencySystem integrationAudit trail
04 CHANNEL
Web & H5WeCom · DingTalk · FeishuEmbedded in internal systemsServer-side API
100+
Enterprise clients served
12+
Industries and scenarios
3
Deployment models
0
Data sent out of region by default
01 / AI CAPABILITIES

Six capabilities that add up to AI you can actually use

We neither stop at a prototype nor simply sell a platform. From data ingestion to live operations, the six capabilities can be delivered separately or combined into one complete AI project.

01

AI applications & agent development

Orchestrate agents around your business processes — single or multi-agent — and deliver conversational assistants, document processing and data-analysis applications.

  • Process orchestration with node-based configuration
  • Multi-agent division of labour with cross-checking
  • Interaction and persona tailored to your business
02

Enterprise knowledge base & RAG

Turn knowledge scattered across documents, web pages and systems into a searchable, citable enterprise asset — with the source attached to every answer.

  • Ingest documents in many formats and web pages
  • Tunable chunking, embedding and retrieval strategy
  • Answers carry citations back to the original text
03

Model access & selection

Connect the leading open-source and commercial models through one interface. We recommend by quality, concurrency and cost, and control risk with evaluation and gradual rollout.

  • Unified access and routing across models
  • Side-by-side model evaluation and acceptance testing
  • Concurrency, caching and token-cost tuning
04

Cloud & on-premise deployment

Public cloud, private cloud, your own data centre or multi-region — with data residency arranged to suit each market's compliance requirements.

  • Deployed in the region you specify
  • Meets GDPR and other data-compliance requirements
  • Multi-region, high availability and dedicated resources
05

Business system integration

Connect to your existing systems and workplace platforms through APIs, so AI joins real processes instead of becoming yet another silo.

  • Integration with ERP / CRM / OA and other systems
  • Connect WeCom, DingTalk, Feishu and similar platforms
  • Server-side APIs and simultaneous multi-channel release
06

AI governance & compliance

Put AI into production and keep it under control: permissions, quotas, audit trails, content safety and cross-border data compliance considered together.

  • Role-based permissions and usage quotas
  • A full, auditable trail of operations and conversations
  • Content-safety and cross-border data compliance advisory
02 / COMPLIANCE PLATFORMS

Turning compliance requirements into an executable checklist

Going global, the hard part is rarely the technology — it is not knowing what the other side wants, how much of it, or by when. We have turned two high-frequency compliance scenarios into deliverable platforms.

PLATFORM 01AI + blockchain

Supplier ESG Compliance Platform

ESG data collection, verification and attestation

For companies with cross-border supply chains: AI collects, cleans and structures supplier ESG data scattered across questionnaires, emails and spreadsheets, while blockchain attests the key figures — so green compliance no longer depends on chasing Excel files by hand.

  • Automatic triage of supplier ESG questionnaires, answer-quality checks and gap prompts
  • Alignment of emission and energy metrics, anomaly detection and trend analysis
  • Key data attested on-chain: traceable provenance, tamper-resistant records
  • Disclosure working papers and compliance reports for CSRD, CBAM, EUDR and similar requirements
PLATFORM 02AI + regulatory knowledge base

EU Packaging Compliance Platform

PPWR readiness, gap analysis and documentation

For packaging and consumer-goods companies exporting to the EU, we turn the PPWR text into an executable checklist: starting from your packaging list and BOM, we compare recyclability, recycled content and reduction requirements item by item, and output a gap list, technical documentation and an annual maintenance ledger.

  • Packaging list and component BOM, with weight, material and structure recorded line by line
  • Gap analysis and remediation advice on recyclability, recycled content and empty space
  • Regulatory text and source register, traceable to clause level and ready for review
  • Assembly of DoC technical files and EPR registration material for each market

These platforms provide data organisation and gap-analysis capabilities. They do not constitute legal advice or a compliance conclusion; a formal conclusion requires professional review against the actual documentation.

03 / DELIVERY METHOD

Five steps, and every one of them is verifiable

The most common reason AI projects fail is not the technology — it is unclear objectives and unclear acceptance criteria. We move the acceptance criteria to step one.

STEP 01

Scenario diagnosis

We start by pinning down the objective, the data and the acceptance criteria — and whether this is worth doing at all.

STEP 02

Solution & selection

We settle the model, the knowledge sources, the deployment region and the integration boundaries, and give you comparable options with budgets.

STEP 03

Prototype validation

A small proof of concept on your real data, so expectations can be aligned against reviewable results before you commit further.

STEP 04

Build & deploy

Delivered against milestones and signed off item by item; permissions, quotas and audit trails go live with the system.

STEP 05

Launch & operate

Quality monitoring, knowledge-base maintenance and continuous tuning of models and cost, so the system keeps getting better.

04 / DEPLOYMENT MODELS

Three deployment models, chosen by data-compliance needs

Deployment is a business decision, not a technical preference. We clarify where the data will live before we discuss architecture.

Public Cloud

Public cloud SaaS

Fast to start, low cost. Suited to knowledge bases built on public material, and to external-facing Q&A and content scenarios.

Data locationPublic cloud
Time to launch1–3 weeks
InvestmentLow
Best forRapid validation, external services
Private Cloud & On-Premise

Private cloud & on-premise

Data stays in your own cloud or data centre, meeting data-residency, access-isolation and audit requirements.

Data locationYour cloud / data centre
Time to launch4–10 weeks
InvestmentMedium
Best forInternal data, core systems
Multi-Region & Hybrid

Multi-region & hybrid

For businesses operating across markets: deployed region by region with data resident locally, to satisfy the compliance rules of each jurisdiction.

Data locationDeployed by region
Time to launch6–14 weeks
InvestmentMedium–high
Best forCross-border operations, multiple markets
05 / CLIENTS

Enterprise clients we have served

We have served leading companies in intelligent manufacturing, energy, retail and consumer goods, professional services and cross-border trade — many of them expanding overseas.

Shanghai Electric
BYD
GAC Group
Dongfeng Commercial Vehicle
Foton Cummins
Wanxiang Group
Foxconn
Sany Heavy Industry
Shanghai EMU
CISDI
Morimatsu
Emerson
BBCA Group
PetroChina
SPIC
China Mobile
21Vianet
China Aviation Oil
GCL Power
Unilever
L'Oréal
Coca-Cola
Budweiser
Henkel
Swire Properties
Jahwa
Shanghai Tobacco
Microsoft
Samsung
Audi
Canon
ZEISS
EY
Nokia Bell Labs
Clobotics
SPD Bank
Ping An
Roche
Merck
Bayer
Medtronic

The above are some of the enterprise clients our team has served, in no particular order; the exact project scope is as agreed in contract.

06 / WHY ZENNOVA

Four standards we are happy to be measured against

Delivery certainty

Milestones, acceptance criteria and owners are written down up front. Progress is trackable, and we make no promise we cannot verify.

Controlled data residency

Deployed and operated in the region you specify. Cross-border transfer is disclosed in advance; there is no unauthorised data egress.

Traceable conclusions

Every answer cites its source and can be reviewed and audited. No conclusion without evidence.

A long-term partner

Launch is not the finish line. Knowledge-base upkeep, quality monitoring and cost tuning are provided as an annual service.

07 / GET STARTED

Prove one AI scenario first, then talk about scale

If you already have a clear scenario and internal data, we can go straight to solution design and a PoC. If you are still exploring, we can start with a scenario diagnosis.