ZTABS builds custom integrations for Melbourne businesses — API development, system connectivity, data pipelines, and middleware solutions. Connecting CRM, ERP, eCommerce, and business systems.
Custom integration development in Melbourne addresses one of the most pervasive technology challenges in Australian business — systems that don't talk to each other. Melbourne enterprises typically run 15-40 different software applications (CRM, ERP, accounting, HR, marketing automation, eCommerce, and industry-specific systems), and the data trapped in these silos creates inefficiency, errors, and lost revenue. Every time an employee manually copies data from one system to another, or emails a spreadsheet because two systems can't share data, or makes a decision based on outdated information because the latest data is in a different system — the business pays a hidden integration tax. Melbourne's integration landscape: several factors define integration challenges in Melbourne. Enterprise diversity: Melbourne's economy spans financial services, healthcare, manufacturing, education, retail, and professional services — each with different system stacks and integration patterns. No two Melbourne businesses have the same integration challenge, which is why generic integration platforms often fall short — custom development understanding the specific systems, data flows, and business logic is frequently required. Legacy-modern hybrid: Melbourne enterprises rarely operate a single generation of technology — they run a mix of legacy systems (SAP ECC, Oracle EBS, custom .NET applications) alongside modern cloud platforms (Salesforce, HubSpot, Xero, Shopify). The integration challenge: connecting systems built with fundamentally different architectures, data models, and communication protocols. API maturity: ranging from modern RESTful APIs with excellent documentation to legacy systems with no API at all (requiring database-level integration, file-based exchange, or screen scraping as a last resort). Australian SaaS ecosystem: Australian businesses adopting cloud SaaS at high rates — Xero (accounting), MYOB (accounting/ERP), Deputy (workforce management), SafetyCulture (workplace safety), and Employment Hero (HR). These Australian SaaS products: increasingly central to business operations and requiring integration with other systems. Many: offering APIs but with varying quality, documentation, and reliability. Data privacy: Australian Privacy Principles (APPs) under the Privacy Act governing how personal information flows between systems. Integration: moving personal data between systems — requiring appropriate consent, security, and access controls. The Privacy Act: being strengthened following the 2022 Privacy Act Review — integrations needing to handle personal data with increasing care. Real-time expectations: Melbourne businesses increasingly expecting real-time data synchronisation — not overnight batch processing. When a customer places an order on the website, the inventory system, the CRM, the accounting system, and the fulfilment system all need to know within seconds, not next morning. Real-time integration: architecturally different from batch integration and significantly more complex to implement reliably.
Melbourne's integration demand comes from organisations suffering from system fragmentation: (1) Retail and eCommerce: Melbourne retailers managing online and physical channels. Retail integration: eCommerce-ERP (Shopify, BigCommerce, or WooCommerce connected to MYOB, Xero, or SAP — synchronising orders, inventory, customers, and financial data. The integration: needing to handle real-time inventory updates across channels, automatic order routing to fulfilment, and financial reconciliation), POS-eCommerce (unifying point-of-sale and online transactions — Lightspeed, Vend, or Square POS sharing inventory and customer data with eCommerce. Melbourne retail: omnichannel expectations from consumers who browse online and buy in-store or vice versa), marketplace integration (selling on Amazon AU, eBay, and Catch alongside the own-brand store — centralising inventory, orders, and pricing across multiple marketplace channels. Integration: preventing overselling by synchronising stock across all channels in real-time), and CRM-marketing (customer data from sales channels flowing into marketing platforms — Klaviyo, Mailchimp, or HubSpot receiving purchase history, browsing behaviour, and customer segments for personalised marketing). (2) Financial services: Melbourne's banks, insurers, and fintech companies. Financial integration: core-digital (connecting legacy core systems with modern digital channels — the mobile app, online banking, and API banking needing real-time access to core banking data. Integration: often the most complex technical challenge in financial services — legacy core systems with batch-oriented interfaces needing to support real-time digital experiences), open banking (Consumer Data Right — Australia's open banking framework requiring banks to share customer data with accredited third parties via APIs. Integration: building and consuming CDR APIs — a regulatory requirement and a competitive opportunity), payment orchestration (connecting multiple payment methods — card processing, PayTo, BPAY, and international payments — through a unified payment interface. Integration: routing payments to the optimal processor based on cost, success rate, and payment type), and data aggregation (aggregating financial data from multiple sources for analytics, reporting, and regulatory compliance — APRA reporting requiring data from across the institution). (3) Healthcare: Melbourne's healthcare providers and health tech companies. Healthcare integration: EMR integration (connecting with electronic medical record systems — Medical Director, Best Practice, Genie — for clinical data exchange. HL7 FHIR: the emerging standard for healthcare interoperability in Australia, enabling structured clinical data exchange), pathology and imaging (integrating pathology results and medical imaging into clinical workflows — results flowing from laboratories and imaging centres into the treating clinician's system automatically), Medicare and health fund (integrating with Medicare (bulk billing, patient verification) and private health fund systems (eligibility checking, claims lodgement). Integration: using Medicare Australia's APIs and ECLIPSE system for health fund claims), and telehealth (integrating telehealth platforms with practice management and EMR systems — appointment scheduling, patient records, and billing flowing between telehealth and in-practice systems). (4) Manufacturing: Melbourne manufacturers connecting production with business systems. Manufacturing integration: ERP-MES (connecting ERP (SAP, MYOB Advanced, Microsoft Dynamics) with manufacturing execution systems — production orders, material consumption, and quality data flowing between business and production layers), IoT-business (sensor data from manufacturing equipment flowing into business systems — production rates, quality metrics, and equipment status visible in dashboards and triggering business processes), supply chain (EDI and API-based integration with suppliers and customers — purchase orders, advance shipping notices, invoices, and inventory data exchanged electronically), and quality-compliance (quality management system integration — inspection results, non-conformance reports, and corrective actions flowing between quality systems and ERP). (5) Professional services: Melbourne's accounting, legal, and consulting firms. Services integration: practice management-accounting (connecting practice management (LEAP, Actionstep, WorkflowMax) with accounting (Xero, MYOB) — time entries, invoices, and payments synchronised automatically), CRM-pipeline (connecting CRM (Salesforce, HubSpot, Pipedrive) with proposal and project management tools — lead to project continuity without manual data transfer), document management (integrating document management (SharePoint, Dropbox, Google Drive) with practice management and CRM — documents filed correctly, accessible in context, and versioned automatically), and payroll-HR (connecting payroll (KeyPay, Employment Hero) with HR, leave management, and time tracking — employee data, leave balances, and pay runs synchronised across systems).
Our Melbourne integration development follows a methodology designed for reliable, maintainable system connectivity: (1) Integration assessment (weeks 1-2): understanding the system landscape. System inventory: cataloguing all systems requiring integration — technology platform, API availability, data model, and current integration methods (if any). For each system: API assessment (REST? SOAP? GraphQL? No API?), authentication (OAuth, API key, basic auth?), rate limits (how many requests per second/minute?), data format (JSON, XML, CSV, proprietary?), and documentation quality (well-documented API vs. undocumented legacy system). Data flow mapping: defining what data needs to flow between which systems, in which direction, at what frequency, and with what business logic. Melbourne enterprise: typically revealing 20-40 data flows across the system landscape — some obvious (orders from eCommerce to ERP), some hidden (employee data changes needing to propagate to 8 systems). Integration pattern selection: for each data flow — real-time event-driven (system A triggers an event → integration processes immediately → system B updated within seconds. Best for: time-sensitive data — orders, inventory, and customer interactions), near-real-time polling (integration checking for changes every 1-5 minutes. Best for: data that needs to be current but not instant — CRM updates, pricing changes), batch (scheduled processing of accumulated data — hourly, daily, or weekly. Best for: large-volume data transfers, reporting data, and financial reconciliation), or request-response (system A requesting data from system B on demand. Best for: lookup operations — checking stock availability, verifying customer details). (2) Architecture and design (weeks 2-3): designing the integration solution. Integration architecture: choosing the right approach. Point-to-point (direct connections between systems — simple for 2-3 systems but creating a maintenance nightmare for 5+ systems. Each new system: requiring connections to every existing system. Melbourne enterprises: often starting with point-to-point and reaching a maintenance crisis at 8-12 connections), integration hub (centralised integration platform — all systems connect to the hub, which routes, transforms, and manages data flows. Scalable: adding a new system requires only connecting it to the hub. Our recommendation: for Melbourne enterprises with 4+ systems requiring integration), event-driven (publish-subscribe architecture — systems publishing events to a message broker, other systems subscribing to relevant events. Scalable and loosely coupled: systems don't need to know about each other. Best for: real-time, high-volume integrations), and iPaaS (integration Platform as a Service — cloud-based integration using platforms like Workato, Celigo, or Make. Good for: standard SaaS-to-SaaS integrations with available connectors. Limitation: custom business logic and legacy system integration often exceeding iPaaS capability). API design: for integrations requiring custom APIs — REST API design following OpenAPI specification. Versioning (API versions enabling backward-compatible evolution — existing integrations continuing to work when new features are added), error handling (clear error responses enabling consuming systems to handle failures gracefully — retry logic, dead letter queues, and human notification for unresolvable errors), and documentation (automated API documentation from OpenAPI spec — Swagger UI for developer reference). Data transformation: defining how data maps between systems. Schema mapping (field-by-field mapping between source and target systems — handling different field names, data types, and formats), business logic (transformation rules beyond simple mapping — calculating derived values, applying business rules, and enriching data), and validation (ensuring data quality during transformation — rejecting invalid data, logging warnings for unusual values, and applying default values for missing fields). (3) Development (weeks 3-6): building the integrations. Technology stack: Node.js (our default for Melbourne integration projects — excellent ecosystem for API connectivity, async processing, and data transformation), message broker (RabbitMQ or AWS SQS for event-driven integrations — reliable message delivery with retry and dead letter capability), and database (PostgreSQL for integration state management — tracking which records have been synchronised, storing transformation logs, and maintaining integration health data). Connector development: building connectors for each system. Well-documented APIs (Shopify, Salesforce, Xero — connectors built using official SDKs or API clients, leveraging existing OAuth flows and webhooks), poorly-documented APIs (legacy systems with minimal documentation — reverse-engineering API behaviour through testing, building robust error handling for undocumented error conditions), no API (legacy systems with no API — database-level integration (reading/writing directly to the database — with careful consideration of data integrity), file-based integration (CSV/XML file exchange — polling for new files, processing, and archiving), or screen scraping (automated UI interaction — used only as a last resort when no other option exists)). Error handling: robust error management. Retry logic (transient failures — network issues, rate limits, temporary unavailability — automatically retried with exponential backoff), dead letter queue (permanently failed items captured for manual review — not lost, not blocking other processing), alerting (failures notified to operations team — with context enabling rapid resolution), and reconciliation (periodic comparison of data between systems — identifying any items that fell through the cracks). (4) Testing (weeks 5-7): ensuring reliability. Integration testing: testing data flows end-to-end. Happy path (data flowing correctly through the integration — correct transformation, correct delivery, correct timing), error scenarios (what happens when a system is unavailable? When data is malformed? When rate limits are exceeded? Each error scenario: tested and verified to be handled gracefully), volume testing (testing at expected data volumes — 100 orders/day vs. Black Friday 5,000 orders/day. The integration: performing correctly under both normal and peak conditions), and edge cases (unusual data — special characters in names, very large orders, international addresses, and other unusual but possible data that might break the integration). Regression testing: automated tests running continuously — verifying that integrations continue to work as systems are updated. SaaS platforms updating frequently — an API change by Shopify or Xero could break an integration. Continuous testing: detecting breaks before they affect business operations. (5) Deployment and monitoring (weeks 6-8+): going live and maintaining. Deployment: staged rollout — testing with a subset of data before enabling full production flows. Monitoring: continuous integration health monitoring. Data flow monitoring (tracking data volumes, processing times, and success rates — dashboards showing integration health at a glance), error monitoring (real-time alerting for integration errors — classified by severity and impact), SLA monitoring (tracking whether data is flowing within defined time windows — orders synchronised within 5 minutes, financial data reconciled within 1 hour), and data quality monitoring (tracking data quality metrics — completeness, accuracy, and consistency between systems). Operations: ongoing integration maintenance. API version updates (when integrated systems release new API versions — testing and updating connectors), data model changes (when business requirements change — adding new data flows, modifying transformations), and performance optimisation (tuning integration performance as data volumes grow).
Retail / eCommerce
A Melbourne-based multi-brand retailer (AUD 42M revenue — 3 brands, 8 physical stores across Victoria, 3 Shopify online stores, and presence on Amazon AU and eBay — 120 employees) needed to unify its fragmented systems. (1) System landscape: the retailer operating 9 different systems with minimal integration — Shopify (3 stores — one per brand), Lightspeed POS (8 physical stores), MYOB AccountRight (accounting), ShipStation (shipping), Cin7 (inventory management — partially implemented), Klaviyo (email marketing), Deputy (staff rostering), Employment Hero (HR/payroll), and a custom Excel-based reporting system. The systems: operating as islands — data manually transferred between them through CSV exports, copy-paste, and email. (2) Inventory crisis: inventory managed in Cin7 but not synchronised with Shopify or Lightspeed in real-time. Stock levels: updated daily via overnight CSV upload. Result: overselling (accepting orders for out-of-stock items — 8-12 orders per week requiring cancellation and customer apology), missed sales (items showing out-of-stock online while available in stores — estimated 15% of potential online sales lost to inaccurate stock display), and stock discrepancies (physical stock counts not matching system records — quarterly stock takes revealing AUD 120,000 in unaccounted inventory). (3) Order processing: online orders processed manually — Shopify order downloaded, manually entered into Cin7 for fulfilment, then manually entered into MYOB for accounting. Time per order: 12 minutes. With 150 online orders per day across 3 brands: 30 hours of manual data entry per week. Error rate: 4% of orders having data entry errors — wrong address, wrong item, wrong quantity — resulting in returns, reshipments, and customer dissatisfaction. (4) Customer data: customer information scattered across Shopify (online purchasers), Lightspeed (in-store purchasers), and Klaviyo (email subscribers). No unified customer view: the marketing team unable to identify customers who shop both online and in-store, unable to calculate true customer lifetime value, and unable to create segments based on omnichannel behaviour. Duplicate customers: estimated 20-25% of customers existing in multiple systems with different records — same person, different data. (5) Reporting: the custom Excel reporting system requiring 2 days per week of manual data compilation — downloading sales data from Shopify, POS reports from Lightspeed, and financial data from MYOB, then manually combining into weekly performance reports. The reports: always 2-3 days behind reality. The CEO: making decisions based on last week's data because current data wasn't available.
We built a comprehensive integration solution over 8 weeks, connecting all 9 systems through a central integration hub. (1) Real-time inventory synchronisation: connecting Cin7, Shopify (3 stores), and Lightspeed (8 stores). Cin7 as master: inventory managed in Cin7 as the single source of truth. Stock changes in Cin7 (receiving, adjustments, transfers) automatically pushed to Shopify and Lightspeed within 30 seconds. Sales from any channel (Shopify online, Lightspeed in-store, Amazon, eBay) immediately updating Cin7 stock levels — triggering cascading updates to all other channels. Webhook-driven: Shopify and Lightspeed sending webhook notifications on every sale. The integration: processing the webhook, updating Cin7, and Cin7 pushing updated stock to all channels. Processing time: under 30 seconds from sale to all-channel stock update. Multi-warehouse: stock levels tracked by location — each physical store, the central warehouse, and the online fulfilment centre. Shopify: showing available stock across the online fulfilment centre and stores offering click-and-collect. Location-specific stock: preventing overselling while maximising stock visibility. Marketplace sync: Amazon AU and eBay stock levels synchronised through Cin7's marketplace integrations — stock updates reaching marketplaces within 2 minutes. (2) Automated order processing: eliminating manual data entry. Shopify → Cin7 → MYOB: orders flowing automatically. Shopify: order placed → webhook triggers integration → order created in Cin7 (with correct warehouse assignment based on stock availability and shipping address) → order created in MYOB as sales invoice. The flow: completing in under 60 seconds with zero manual intervention. ShipStation integration: Cin7 fulfilment triggering ShipStation label generation — shipping labels and tracking numbers automatically generated and sent to the customer via Shopify email notifications. Returns: return requests initiated through Shopify → integration creating return authorisation in Cin7 → stock returned to inventory → credit note created in MYOB. The returns flow: previously requiring 25 minutes of manual processing per return, now automated. POS → Cin7 → MYOB: in-store sales from Lightspeed POS flowing to Cin7 (stock adjustment) and MYOB (daily sales summary) automatically. End-of-day: automated reconciliation verifying that POS sales match Cin7 stock movements and MYOB entries. (3) Unified customer data: creating a single customer view. Customer matching: when a customer purchased online and in-store, the integration matching records using email address (primary), phone number (secondary), and name + postcode (tertiary). De-duplication: 8,200 duplicate customer records identified and merged during initial data cleanup — creating a clean unified customer database. Ongoing: new customers automatically checked for duplicates before creating new records. Unified profile: each customer having a single profile with — online purchase history (from 3 Shopify stores), in-store purchase history (from 8 Lightspeed POS), total lifetime value (across all channels), preferred channel (online, in-store, or both), brand affinity (which of the 3 brands they purchase from), and email engagement (from Klaviyo). Klaviyo integration: unified customer data flowing into Klaviyo — enabling segments based on omnichannel behaviour. Example segments: "online-only customers with high LTV who live near a physical store" (target for in-store conversion), "in-store customers who haven't purchased online" (target for online conversion), and "multi-brand customers" (highest LTV, target for cross-brand promotion). (4) Automated reporting: replacing the manual Excel reports. Data warehouse: integration hub aggregating data from all systems into a PostgreSQL data warehouse — sales (Shopify + Lightspeed), inventory (Cin7), financial (MYOB), and customer (unified). Automated dashboards: Metabase dashboards replacing the manual Excel reports — daily sales by channel and brand (real-time, not 3 days behind), inventory status (stock levels, slow-moving items, reorder alerts), customer metrics (new customers, repeat rate, LTV by segment), and financial summary (revenue, COGS, gross margin — reconciled with MYOB). Dashboard access: CEO and management team accessing dashboards from mobile — real-time business performance available anytime. The 2 days per week of manual report compilation: eliminated entirely. (5) HR-payroll sync: connecting Deputy with Employment Hero. Deputy → Employment Hero: approved timesheets flowing from Deputy (rostering and time tracking) to Employment Hero (payroll) automatically — eliminating manual timesheet data entry. Employee data: changes in Employment Hero (new employees, role changes, pay rate changes) synchronised to Deputy — ensuring roster accuracy. Leave: leave requests approved in Deputy synchronised with Employment Hero leave balances — preventing double-booking and ensuring accurate leave records.
Results over 10 months. Inventory accuracy: from 82% (quarterly stock take accuracy) to 97.5% (continuously verified). The improvement: real-time synchronisation eliminating the daily drift that caused discrepancies. Overselling: from 8-12 cancelled orders per week to 0.5 per week (95% reduction). Each cancelled order: costing approximately AUD 35 in refund processing, customer communication, and goodwill recovery. Annual saving: approximately AUD 18,000 in direct costs + customer satisfaction improvement. Missed online sales: estimated 15% recovery through accurate stock display — stock previously showing "out of stock" online (but available in stores/warehouse) now correctly displayed as available. Revenue impact: estimated AUD 630,000 in recovered annual online revenue (15% × AUD 4.2M online revenue). Order processing: from 12 minutes manual per order to 0 minutes (fully automated). 150 orders/day × 12 minutes = 30 hours/week of manual processing eliminated. Annual saving: AUD 78,000 (30 hours/week × 52 weeks × AUD 50/hour). Order accuracy: from 96% to 99.8% (errors from automated processing being primarily source data issues, not data entry errors). Return processing: from 25 minutes per return to automated. 20 returns/week × 25 minutes = 8.3 hours/week saved. Customer data: 8,200 duplicate records merged. Unified customer view: enabling omnichannel marketing that increased email campaign revenue by 32% (better segmentation and personalisation from unified customer data). Multi-channel customer identification: 28% of customers discovered to shop across multiple channels — previously invisible in siloed data. The insight: enabling targeted cross-channel promotions that increased multi-channel customer purchases by 18%. Reporting: weekly report compilation from 2 days to 0 days (automated dashboards). Management: accessing real-time business data instead of 3-day-old data. Decision speed: the CEO reporting "I can now respond to trends in real-time instead of reacting to last week's numbers." HR-payroll: timesheet processing from 4 hours/week (manual data entry) to 0 hours (automated sync). Payroll errors: from 3-4 per month (data entry mistakes) to zero. Development cost: AUD 125,000 (8-week project). Monthly operating cost: AUD 1,200 (hosting, API costs). Annual value: AUD 630,000 (recovered online revenue) + AUD 78,000 (order processing) + AUD 18,000 (overselling reduction) + AUD 24,000 (reporting and HR automation) + marketing improvement (32% email revenue increase = estimated AUD 140,000) = AUD 890,000+. ROI: 7.1x in the first year.
We work with any API — REST, GraphQL, SOAP, gRPC. OAuth, API keys, JWT, webhook signatures — we handle every authentication pattern.
Event-driven integrations using webhooks, polling, or change data capture that keep systems in sync within seconds, not hours.
Map and transform data between systems with different schemas, formats, and conventions. Handle edge cases, missing fields, and schema evolution.
Robust error handling with exponential backoff, dead letter queues, alerting, and manual retry capabilities. No data loss, ever.
Build reusable connectors for proprietary APIs, legacy systems, and custom databases that plug into your integration infrastructure.
Dashboards showing sync status, data volumes, error rates, and latency for every integration — with alerting for anomalies.
Melbourne's integration development market includes iPaaS platforms (Workato, Celigo, Make — cloud-based integration with pre-built connectors. Good for standard SaaS-to-SaaS but struggling with legacy systems and complex business logic), Australian IT companies (DXC, Datacom, Empired/Capgemini — enterprise integration capability at AUD 2,000-3,500/day. Strong for large enterprise but often over-scoped for mid-market), freelance developers (Melbourne freelancers building integrations — capable for simple point-to-point but lacking the architecture and monitoring expertise for reliable enterprise integration), and internal IT (Melbourne businesses attempting integration internally — often resulting in fragile, undocumented integrations that break when systems update). ZTABS provides integration development with specific Australian system expertise — Xero, MYOB, Shopify, Lightspeed, Cin7, and the Australian SaaS ecosystem — combined with enterprise architecture that scales reliably.
Integration development in Melbourne ranges from AUD 25,000-60,000 for focused integrations (2-3 systems, standard APIs, 4-6 weeks) to AUD 60,000-180,000 for enterprise integration platforms (5+ systems, legacy connectivity, real-time sync, 6-12 weeks). Monthly operating costs: AUD 500-2,000 (hosting, API costs, monitoring). ZTABS provides fixed-price integration development with data accuracy guarantees.
Verified reviews from real client engagements — sourced from our public testimonial archive and Clutch profile.
My experience is throughout positive. Communication, service, the short response times and the flawless execution of a challenging topic was absolutely great. ZTABS is definitely my first choice again.
Christian Neff
Bank Software Advisory · Bank Software Advisory
Fintech
Fantastic Agency! I couldn't fault them even if I tried. They always go above and beyond to meet your expectations and always produces quality work. Thank you ZTABS.
Stephanie Kal
CEO · Beauty Finder Australia
Marketplace
It has been great working with ZTABS. They bounce off the ideas along the way. Amazing Experience.
Joel Rowe
CEO · Drill Quoter
Marketplace
We don't just contract — we ship and operate our own software. 17 products in production.
Common questions about custom integration development for Melbourne businesses
Yes — we integrate with legacy systems using database-level integration (reading/writing directly, with careful data integrity management), file-based exchange (CSV, XML, or flat files placed in monitored directories), and as a last resort, screen scraping (automated UI interaction). We assess each legacy system and recommend the most reliable integration method.
ZTABS is a remote-first custom integration development agency serving Houston businesses — including rest & graphql api integration, real-time sync, data transformation. We work with Energy & Oil/Gas, Healthcare & Biotech, Aerospace & Defense companies in Houston, TX via timezone-aligned engineers and async workflows; we do not have a local office, and we are explicit about that with every client.
Custom Integration Development in New York, NYZTABS is a remote-first custom integration development agency serving New York businesses — including rest & graphql api integration, real-time sync, data transformation. We work with Finance & Fintech, Media & Advertising, Fashion & Retail companies in New York, NY via timezone-aligned engineers and async workflows; we do not have a local office, and we are explicit about that with every client.
Custom Integration Development in Los Angeles, CAZTABS is a remote-first custom integration development agency serving Los Angeles businesses — including rest & graphql api integration, real-time sync, data transformation. We work with Entertainment & Media, E-commerce & DTC Brands, Gaming & AR/VR companies in Los Angeles, CA via timezone-aligned engineers and async workflows; we do not have a local office, and we are explicit about that with every client.
Web Development in Melbourne, AustraliaZTABS is a remote-first web development agency serving Melbourne businesses — including full-stack development, progressive web apps, api development. We work with EdTech, HealthTech, AgriTech companies in Melbourne, Australia via timezone-aligned engineers and async workflows; we do not have a local office, and we are explicit about that with every client.
Web Design in Melbourne, AustraliaZTABS is a remote-first web design agency serving Melbourne businesses — including ui/ux design, responsive design, custom interfaces. We work with EdTech, HealthTech, AgriTech companies in Melbourne, Australia via timezone-aligned engineers and async workflows; we do not have a local office, and we are explicit about that with every client.
AI Development in Melbourne, AustraliaZTABS is a remote-first AI development agency serving Melbourne businesses — including llm integration & fine-tuning, ai agents & automation, rag & knowledge systems. We work with EdTech, HealthTech, AgriTech companies in Melbourne, Australia via timezone-aligned engineers and async workflows; we do not have a local office, and we are explicit about that with every client.
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