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Protocolzone Protocolzone

Services

Three service lines,
usually engaged together.

Most engagements start with a data problem or a platform build and end with us running the result. The continuity is the point: the team that wrote the settlement logic is the team paged when it misbehaves.

What we do

Pick the one you need. Most clients end up with all three.

Each line is a standalone engagement with its own deliverables. They compound when combined, which is why the sequence below is the common shape rather than an upsell.

01

Platform to Platform

Custom platform development & modernisation

Bespoke platform engineering and integration: API contracts, workflow automation, predictive models and enterprise security, built to run in production.

  • Platform engineering
  • API development
  • System-to-system integration
  • Workflow automation

Sports & Gaming · Financial & Insurance · Retail & FMCG

Platform to Platform in detail →

02

Data to Data

Data engineering & AI implementation

Ingest, normalise and reconcile operational feeds, then serve them to trading, finance and compliance from one lineage. Data engineering, analytics and governance.

  • Ingest and normalisation
  • Reconciliation and replay
  • Serving layers
  • Analytics and reporting

Sports & Gaming · Financial & Insurance · Retail & FMCG

Data to Data in detail →

03

24×7 Operations Desk

Monitoring, incident response & release support

In-house engineers running production around the clock, on our platforms and yours. Monitoring, incident response, release support and escalation.

  • Monitoring and alerting
  • Incident response
  • Release and change support
  • Customer-owned platforms

Sports & Gaming · Financial & Insurance · Retail & FMCG

24×7 Operations Desk in detail →

AI in the system you already run.

Forecasting, computer vision, text classification and automation connect our data and platform work. See the delivered implementations and how we approach modernisation.

How an engagement runs

Define, build, operate.

A new platform starts with the business it needs to support. An existing platform starts with the system and the people using it. In both cases, we agree scope and responsibilities before implementation.

  1. Step 1

    Define or assess

    For a new platform, define the users, workflows and first release. For an existing system, review the code, data and operational constraints. Agree priorities and the delivery scope.

  2. Step 2

    Build and integrate

    Pipelines, platform work or integration, delivered as versioned services with a deployment path someone other than the authors can run.

  3. Step 3

    Operate

    The team that wrote it takes the pager. Monitoring thresholds, escalation and shift handover are agreed before they are needed.

Use cases

The specific problems these lines get pointed at.

Case studies

Where these lines have actually shipped.

Bring your next platform or improvement.

Tell us what you want to launch, connect or automate. We can start with your business requirements or the technical constraints you already know.