AI · Blockchain · Software · Cloud

Core intelligence at zetta-scale.

We engineer intelligent AI, blockchain and cloud systems built for speed, security, scalability and real-world performance.

Talk to an expert Explore our capabilities

1021The order of scale we design toward

AI + chainEngineered as one system, not two

Production-firstBuilt to run, not to demo

AIBLOCKCHAINWEB3CLOUDSOFTWAREAUTOMATION

Who we are

Technology is evolving.
Your infrastructure should evolve faster.

ZettaCore is a service-driven technology company. We design and build the systems underneath digital products — the models, contracts, services and infrastructure that have to keep working when volume, scrutiny and complexity increase.

Most teams don't need another proof of concept. They need an architecture that survives contact with production: data that stays consistent, contracts that hold under audit, models that behave predictably, and infrastructure that scales without a rewrite. That is the work we take on.

We work across AI, blockchain, software and cloud as one connected practice rather than four separate teams — because in real systems, the hard problems live at the boundaries between them.

How we think about engineering

Capabilities

Four practices.
One engineering core.

Select a practice to see what sits inside it. Each one is delivered by the same architecture-first process, so systems built across practices actually fit together.

01 AI & Intelligent Systems

Practice 01 / 04

AI & Intelligent Systems

Applied AI that does a specific job inside a business process — retrieval that cites its sources, agents with real guardrails, models evaluated against your data rather than a public benchmark.

AI strategy & consultingGenerative AIAI agentsLLM solutionsRAG systemsAI automationConversational AIMachine learningPredictive analyticsComputer visionAI integrationEnterprise AI

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02 Blockchain & Web3

Practice 02 / 04

Blockchain & Web3

Decentralized systems designed for the constraints that actually matter: gas cost, finality, upgrade paths and audit readiness. Contracts are written to be reviewed, not just to compile.

Blockchain developmentSmart contractsContract auditingdAppsDeFiTokenizationNFT infrastructureWallet solutionsDAO toolingLayer 1 / Layer 2Cross-chainChain integration

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03 Software Engineering

Practice 03 / 04

Software Engineering

Products and platforms built on boring, durable foundations — clear domain models, typed boundaries, tested paths — so the interesting parts stay changeable for years.

Web applicationsMobile applicationsSaaS platformsEnterprise softwareAPI developmentCustom softwareProduct engineeringUI/UX engineering

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04 Cloud & Infrastructure

Practice 04 / 04

Cloud & Infrastructure

The layer everything else stands on. Architected for predictable cost and recovery, with deployment, observability and security treated as product features rather than afterthoughts.

Cloud architectureCloud migrationDevOpsCI/CDInfrastructure as codeCost optimizationScalable backendsSecurityMonitoring & observability

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Why ZettaCore

Principles we don't trade away.

These aren't positioning statements. They're the constraints we apply to every architecture decision, and the reason systems we build tend to stay in service.

Built for scale

Architecture chosen for where the system is going, not only where it starts. Growth should be a configuration change, not a rewrite.

P01

Engineered for security

Threat modelling, least privilege and audit trails belong at design time. Retrofitting security costs more than building it in.

P02

Intelligence at the core

AI placed where it changes an outcome — inside real workflows, with evaluation and fallbacks.

P03

Built for performance

Latency, cost and reliability are tracked from the first sprint, not discovered at launch.

P04

Technology that solves

We start from the business outcome and work backwards. If a simpler system gets you there, we recommend the simpler system.

P05

System view

Inside the core.

Six layers, one system. Scroll to move through the stack — every layer below changes what the layer above it can safely promise.

LAYER 01 — AI

Intelligence

Models, agents and retrieval sitting directly on your domain data. This layer is only as trustworthy as the data layer beneath it, which is why we never build it first.

LAYER 02 — DATA

Data

Pipelines, embeddings, feature stores and lineage. Getting data contracts right is what makes AI output reproducible instead of anecdotal.

LAYER 03 — APPLICATIONS

Applications

The products people actually touch: web, mobile and internal tools. Interfaces designed so the intelligence underneath is legible and controllable.

LAYER 04 — BLOCKCHAIN

Blockchain

Where settlement, provenance or shared state needs to be verifiable by parties who don't trust each other. Used deliberately — not applied to problems a database already solves.

LAYER 05 — CLOUD

Cloud

Compute, networking and delivery shaped around the traffic and cost profile you actually have, with recovery paths tested before they're needed.

LAYER 06 — INFRASTRUCTURE

Infrastructure

Environments, pipelines, secrets and observability defined as code. The layer that decides how fast everything above it can change without breaking.

Industries

Where the systems run.

Domain constraints change the architecture more than the technology does. These are the environments our engineering approach is built for.

01FinTechPayments, ledgers, risk scoring and regulated data flows 02HealthcareClinical data pipelines, privacy-preserving AI, interoperability 03Real estateAsset tokenization, transaction workflows, property intelligence 04Retail & commerceDemand forecasting, personalisation, inventory intelligence 05LogisticsTracking, route optimisation, supply-chain provenance 06ManufacturingPredictive maintenance, vision inspection, plant telemetry 07SaaSMulti-tenant platforms, usage metering, AI product features 08EnergyGrid telemetry, forecasting, settlement and certificates 09Web3 & digital assetsProtocols, wallets, custody flows and on-chain analytics

Selected work

Case studies.

The structure below is live and content-ready. Every project field is a marked placeholder until real, approved client work is supplied — nothing here describes delivered work.

CASE 01 — PLACEHOLDER

FinTech

[PROJECT TITLE]

Challenge: [CHALLENGE]
Solution: [SOLUTION]
Technology: [TECHNOLOGY STACK]
Outcome: [OUTCOME]

Awaiting approved contentView case study

CASE 02 — PLACEHOLDER

Web3 & digital assets

[PROJECT TITLE]

Challenge: [CHALLENGE]
Solution: [SOLUTION]
Technology: [TECHNOLOGY STACK]
Outcome: [OUTCOME]

Awaiting approved contentView case study

CASE 03 — PLACEHOLDER

Healthcare

[PROJECT TITLE]

Challenge: [CHALLENGE]
Solution: [SOLUTION]
Technology: [TECHNOLOGY STACK]
Outcome: [OUTCOME]

Awaiting approved contentView case study

CASE 04 — PLACEHOLDER

Logistics

[PROJECT TITLE]

Challenge: [CHALLENGE]
Solution: [SOLUTION]
Technology: [TECHNOLOGY STACK]
Outcome: [OUTCOME]

Awaiting approved contentView case study

CASE 05 — PLACEHOLDER

SaaS

[PROJECT TITLE]

Challenge: [CHALLENGE]
Solution: [SOLUTION]
Technology: [TECHNOLOGY STACK]
Outcome: [OUTCOME]

Awaiting approved contentView case study

How we work

From problem to production.

A sequence, not a menu. Each stage produces something the next stage depends on, so decisions stay traceable back to the goal that caused them.

Discover

Business goals, constraints, existing systems and the failure modes that actually cost money.

Architect

Technical and product architecture, decision records, and the trade-offs written down before code starts.

Build

Iterative development, integration and testing against the scenarios that matter, not just the happy path.

Launch

Production readiness: monitoring, rollback, load behaviour, security review and handover documentation.

Scale

Optimise cost and latency, evolve the architecture, and keep the system maintainable as the team grows.

Insights

Notes from the build.

Engineering writing on AI, blockchain and infrastructure. Sample entries — replace with published articles from the CMS.

Designing RAG pipelines that survive production traffic

Retrieval quality degrades quietly. Here is how we evaluate chunking, reranking and freshness before users find the gaps.

8 min readSample

Blockchain

What auditors actually look for in a smart contract

Most findings trace back to a handful of design decisions made long before the audit was booked.

6 min readSample

Cloud

Cost is an architecture decision, not a billing problem

Where cloud spend is really determined, and which choices are expensive to reverse later.

7 min readSample

All insights

Build with ZettaCore

Have a complex idea?
Let's build the core of it.

From intelligent systems to decentralized infrastructure, ZettaCore turns ambitious ideas into scalable digital products.

Talk to an expert View case studies

Contact

Let's build what comes next.

Tell us what you're trying to build and what's currently in the way. You'll get a technical response, not a sales sequence.

Email[EMAIL ADDRESS]
Phone[PHONE NUMBER]
Office[OFFICE LOCATION]
Response time[RESPONSE SLA]

Placeholders above are intentional — add verified details before launch.

Core intelligence at zetta-scale.

Technology is evolving. Your infrastructure should evolve faster.

Four practices.One engineering core.

AI & Intelligent Systems

Blockchain & Web3

Software Engineering

Cloud & Infrastructure

Principles we don't trade away.

Built for scale

Engineered for security

Intelligence at the core

Built for performance

Technology that solves

Inside the core.

Intelligence

Data

Applications

Blockchain

Cloud

Infrastructure

Where the systems run.

Case studies.

[PROJECT TITLE]

[PROJECT TITLE]

[PROJECT TITLE]

[PROJECT TITLE]

[PROJECT TITLE]

From problem to production.

Discover

Architect

Build

Launch

Scale

Notes from the build.

Designing RAG pipelines that survive production traffic

What auditors actually look for in a smart contract

Cost is an architecture decision, not a billing problem

Have a complex idea?Let's build the core of it.

Let's build what comes next.

Technology is evolving.
Your infrastructure should evolve faster.

Four practices.
One engineering core.

Have a complex idea?
Let's build the core of it.