Building Connected IntelligenceSydney, Australia

Unify the data. Automate the work.

A Sydney team of PhD researchers and engineers from large technology companies. With our in-house ontology engine, we write your business into machine-readable structure and deliver systems that keep running.

Working prototype
2 weeks
Delivery model
On-site FDEs
Code ownership
100% yours
ap-invoices · production
Built on
Anthropic ClaudeOpenAIMicrosoft AzureAWSGoogle CloudMicrosoft 365Power PlatformPythonTypeScriptNext.jsPostgreSQLKubernetesTerraformLangGraph

UnifyX ontology engine

We write your business as machine-readable structure

Traditional systems and AI run on the same business model. Data is connected once, rules are defined once, and agents act only within permissions and approvals.

  • Model once, reuse everywhereEvery later app and agent reuses the same model, so each project starts further ahead.
  • One base for software and AIManagement systems, algorithms and AI agents read and write the same business definitions.
  • Controlled executionAgents can only take actions defined in the model. Key changes are previewed, confirmed and audited.
  • Capability stays with youBusiness definitions and documentation hand over with the system.

Case demos

See our systems at work, one case at a time

Seven case demos built from the kinds of problems we solve. Each one is hands-on. Client details are removed and the data is illustrative.

How we deliver

On site, in stages, with the capability left behind

Our forward deployed engineers (FDEs) work on site with your front line to map processes, data and rules, while our engineering team builds in parallel. Every stage ends with something you can accept.

FDEs on site

Map processes, data and rules together with the people who do the work.

Business ontology

Turn objects, properties, actions and constraints into one shared definition.

Controlled execution

Key changes are previewed and confirmed first, and every step leaves an audit trail.

System integration

Connect to existing systems, permissions and approvals, with private deployment supported.

  1. Business diagnosisProcesses, roles, data, rules and acceptance criteria
  2. Data & ontologyOne definition of the business
  3. Prototype & buildWorking prototype in about 2 weeks
  4. Pilot & productionTrial run, then production deployment
  • On site at the front, building in parallel behind
  • Every stage has results you can accept
  • Business definitions and documentation hand over with the system

What you can count on

  • Your data stays yoursWe deploy in your cloud or tenant where possible, and your data is never used to train public models.
  • Security by designLeast-privilege access, encryption, audit logs and secure SDLC practices from day one.
  • Measurable qualityEvaluation suites, human-in-the-loop checkpoints and dashboards for accuracy, latency and cost.
  • No lock-inOpen standards, model-agnostic architecture, and a full handover of code and documentation.

Services and capabilities

From one real business problem to a system that keeps running

Six service lines, built on the same five capability layers. Select a layer, or trace a real request through the stack.

  • Enterprise system deliveryBusiness mapping to private deployment
  • Data & business modellingOne definition for every metric
  • AI & intelligent applicationsScheduling, risk, search, automation
  • Security & compliance engineeringBoundaries, permissions, audit
  • Research commercialisationUniversity research into systems
  • Ongoing support & capability transferDocs, training, iteration

Sample request“Where’s consignment UX-1024? We need it by Friday.”

    Industries

    Where AI pays off first in your industry

    See where we usually start, by industry or by department, and the systems we often connect.

    Research & government

    University research, applied to hard business problems

    1. Define the problem

      Set the data conditions, business boundaries, evaluation criteria and delivery goals.

    2. Match the team

      Bring in research expertise that fits the direction of the problem.

    3. Turn results into systems

      Convert research findings into systems you can deploy, maintain and accept.

    Research areas

    Data management & graph computingKnowledge representation & reasoningOptimisation & schedulingTrustworthy, explainable AIData governance & qualityApplied industry AI

    Funding support

    Where eligible, projects may explore the R&D Tax Incentive and government innovation or industry–research grants. Eligibility and approval are not guaranteed.

    ROI calculator

    What manual work costs you each year

    Tell us about the manual work. We’ll show what it costs you each year and how much a project could cost and still pay for itself.

    Your team today
    Automation and payback goal

    Value of the time saved each year

    -

    Hours freed / year

    -

    Budget ceiling

    -

    Value over 3 years

    -

    Cumulative value of time saved, and the budget it can repay
    View as table
    MonthCumulative valueAfter the budget ceiling

    This tool doesn’t include our pricing. It estimates the most a project could cost and still pay for itself in the time you choose. Assumes 46 working weeks a year and savings from the first month after go-live. We give a fixed quote after discovery.

    Get a tailored estimate

    FAQ

    Questions we get asked most

    How quickly can we get started?

    Usually within one to two weeks. Discovery takes about a week and gives you a prioritised roadmap and a fixed-price proposal.

    How much does an AI project cost?

    It depends on scope and integrations. We start with a small, fixed-price discovery and prototype, so you can validate value before larger investment.

    Can you work with our existing systems?

    Yes. Most of our work integrates with what you already run: Microsoft 365, ERPs, CRMs, accounting platforms, databases and legacy apps via APIs or secure connectors.

    Who owns the code and IP?

    You do. On final payment, all code, prompts, configurations and documentation are handed over in full.

    Do you provide support after launch?

    Yes. We offer flexible support and optimisation plans covering monitoring, model updates, new features and helpdesk.

    Plan desk

    Describe it in one sentence. Get a project plan.

    Tell us the problem in your own words. The desk reads it, shows its working and assembles a plan: the ontology, what we would build, the timeline and the team. Fix anything with a click, leave one way to reach you and send it. We reply within one business day.

    Prefer to talk first?

    • Free 30-minute strategy call
    • NDA available on request
    hello@unifyxtec.com SE22, 26A Lime Street, Sydney NSW 2000, Australia
    • Scenario diagnosisAn initial look at your business and data, and whether it’s feasible
    • Technical exchangeOur engineers talk directly with yours
    • Solution inputTechnical support for partners’ client opportunities
    • Research projectsAssess feasibility for research projects and grant applications
    ↑↓ navigate ↵ select UnifyX