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Protocolzone Protocolzone

For Australian technology and product teams

Your platform needs a build team.
And a team for what happens next.

Protocolzone builds custom software platforms, implements AI and automates business workflows for Australian and global organisations. We build and run our own products — Ashva, AnkEDGE and AmshPOS — and bring that same continuity to your platform, from architecture through releases and operations.

A technology partner across the life of the platform.

Custom platforms and integrations

Build a new B2B platform or modernise one already in use. Define tenant boundaries, integrate payments and external APIs, and plan data migration alongside the first release. Ashva provides the engineering reference: shared infrastructure with tenant-specific configuration, routing and reporting.

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Data engineering, AI and automation

Connect operational data to forecasting, classification and workflows people can act on. Our published implementations cover price forecasting, computer vision and sentiment analysis. For generative AI, agree an evaluation dataset, review points and a fallback before giving a model authority over a business action.

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24×7 platform operations

Keep releases, monitoring and incident response connected to the engineers who understand the platform. Agree the coverage, escalation path and operational responsibilities around your busiest periods, including Australian racing events and weekend trading.

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Australian wagering experience, with public references.

In February 2025, BetMakers Technology Group announced its acquisition of technology from Protocol Zone Private Limited for the GTX platform. The announcement identifies digital tote technology, API data feeds, and trading and ratings models. Read BetMakers’ announcement.

Global Tote, a BetMakers company, subsequently announced the launch of GTX Digital, with Greyhound Racing Ireland as its first customer. That is Global Tote’s customer reference; our case study explains the platform engineering behind our work. Read the launch announcement or explore the multi-tenant wagering case study.

Our earlier product BetrBets connected model-led selections to Betfair Exchange. The engineering involved stake sizing, exchange integration and handling the result of a transaction. Read the BetrBets case study.

How delivery works across time zones.

Our engineering team is based in Ahmedabad, India. We serve Australian businesses remotely; we do not have an Australian office. At the start of an engagement, we agree meeting overlap for your time zone, release windows, ownership and escalation contacts. Operational coverage is scoped separately from development hours.

For regulated or sensitive workloads, data location, access permissions, audit records and retention become explicit design requirements. We agree those requirements with your team before choosing infrastructure or connecting an AI service.

Start with the decision you need to make.

Tell us what the platform must do, who uses it, what already exists and which integrations cannot fail. Include your Australian time zone and any launch or migration deadline. We can then discuss the architecture, the first useful release and what running it will require.

For AI implementation, bring one workflow and the decision you want to improve. We will discuss the available data, how to measure whether it works, and where a person should review the output.