About HIVENOX

We put an AI workforce inside the business

HIVENOX is an AI business ecosystem AI Workers, intelligent agents, business modules and governed automation running as one environment. We are not another tool your team has to learn. We take a function that is under-resourced and put a Worker in it that produces output every day, under controls your risk team can sign off.

12Architecture layers in the ecosystem
15Industries with a dedicated operating model
6Growth Workforce AI Workers live today
AU · GCC · USMarkets we deliver into
Who we are

A platform company with a consultancy behind it

HIVENOX is the product. AIST AI Solution Technologies is the enterprise consultancy that designs, implements and governs it. That pairing is deliberate: most AI programmes stall not because the model is wrong but because nobody owns the data readiness, the integration work and the governance that has to sit around it.

One group covers both ends. The people who scope an engagement are the people accountable for the Worker still running six months later, across our teams in Australia, the Gulf, Pakistan and the United States.

Why we exist

Most organisations are not short of software. They are short of capacity.

Teams are carrying more process than headcount, stitched across a dozen subscriptions that each solve a slice of the job and hand the rest back to a person. Adding another tool adds another surface to maintain. It does not add anyone to do the work.

HIVENOX was built to close that gap to take ownership of a defined function, run it continuously, and report on the result rather than on usage. That is the difference between buying a licence and hiring capacity.

Rania Jamil, Founder and CEO of HIVENOX
Rania JamilFounder & CEO
12+Years of enterprise technology experience behind the platformFounder-led
Leadership

Founder-led. Enterprise proven.

An AI Worker earns its place the day a team stops checking its output line by line and that only happens when the data underneath it is governed, auditable and built to survive review.
Rania JamilFounder & CEO HIVENOX · AIST AI Solution Technologies

The platform is founder-led, shaped by more than a decade inside banking, government and large enterprise environments places where a system that cannot be explained to an auditor does not get deployed at all. That standard is the reason governance sits at the centre of the ecosystem rather than at its edge.

Enterprise experience

Built where the constraints are real

The ecosystem was designed against regulated, high-consequence environments banking operations, government service delivery and large construction programmes. Those settings set the bar: role-based access, full audit trails, data residency, and a human approval step wherever a decision carries commercial or legal weight.

Designing for that from the start is why the same architecture serves a fifteen-person agency and a giga-scale delivery authority. The controls scale down comfortably. Retrofitting them upward rarely works.

Our difference

What makes HIVENOX different

Four commitments that shape every engagement, from a single Worker to a full ecosystem rollout.

01A workforce, not a licence

You hire output. Workers are scoped to a function and measured on what they produce, not on seats filled.

02Governed from day one

Access control, audit trails, data residency and human approval gates are part of the build, never a later retrofit.

03Built to reach production

Every Worker ships with the integrations, runbooks and escalation paths that keep it running after go-live.

04Priced against outcomes

Where the result is measurable, we will carry part of the commercial risk of delivering it.

Our approach

How a HIVENOX engagement runs

Five stages from the first conversation to a Worker reporting against a number.

01Scope the function

We start with the department that is hurting, not with a technology shortlist the work, the volume and the handoffs.

02Ready the data

We connect the systems of record and resolve the access, quality and permission model a Worker needs to act safely.

03Deploy the Worker

The Worker goes in against a real queue with defined guardrails, approval steps and a named business owner.

04Integrate and widen

Once it holds, we connect neighbouring functions so the output of one Worker becomes the input of the next.

05Operate and report

We run it, tune it and report against the outcome the engagement was signed on.

Where we operate

Australia, the Gulf and beyond

Headquartered in Australia, delivering across the markets where our clients run their operations.

AustraliaHeadquarters and core market
United Arab EmiratesRegional delivery and client base
Saudi ArabiaGiga-project and enterprise programs
PakistanEngineering and delivery hub
United StatesAmericas enterprise coverage
The people behind it

Meet the team

Engineering depth and senior commercial experience in one group. The people who scope an engagement are the people accountable for delivering it which keeps the promises made in a sales conversation tethered to what can actually be built.

Shehzad (Ameer) Akbar
Chief Operating Officer

Shehzad (Ameer) Akbar

20+ years experienceBanking & technologyBusiness operations

Ameer owns how HIVENOX engagements actually run commercial governance, delivery cadence and the operational controls that enterprise and regulated clients expect before an AI Worker touches live data.

Ethan Brooks
Chief Technology Officer

Ethan Brooks

15+ years experienceTechnology & architectureCloud & security

Ethan sets the platform architecture the ecosystem is built on, from the data fabric underneath the Workers through to the cloud, identity and zero-trust models every deployment inherits.

Sophia Carter
Chief AI & Innovation Officer

Sophia Carter

12+ years experienceAI strategy & innovationGenerative & agentic AI

Sophia leads how the Workers think the agent design, retrieval architecture and evaluation standards that decide whether a Worker is trusted with a task or kept behind an approval gate.

Emily Watson
Chief Data & Analytics Officer

Emily Watson

14+ years experienceData strategy & analyticsGovernance & BI

Emily owns the data layer the ecosystem depends on: the unified model, lineage and classification work that has to be right before any Worker is allowed to act on a customer record.

Michael Turner
Chief Financial Officer

Michael Turner

18+ years experienceFinance & governanceCommercial structuring

Michael structures the commercial side of outcome-based delivery how packages are priced, how results are measured, and how HIVENOX can put its own margin behind a number it has quoted.

Ryan Collins
Head of Engineering & Delivery

Ryan Collins

12+ years experienceEngineering & deliveryPlatform operations

Ryan runs the build and release path from scoped Worker to production queue, and holds the engineering standards that keep a deployment supportable long after the launch call.

Ahmed Nadeem Khan
Business Development Expert

Ahmed Nadeem Khan

25+ years experienceClient engagementMarket development

Ahmed works with clients before anything is scoped, translating a business problem into the function a Worker should own and the outcome the engagement should be judged on.

Sidra Jamil
Civil & Environmental Engineering Consultant

Sidra Jamil

Environmental complianceAsset managementConstruction advisory

Sidra brings the built-environment expertise behind Construction OS, shaping how the platform models assets, compliance obligations and the realities of a live site.

Ahmed Khan
Technical Lead

Ahmed Khan

7+ years experienceScalable digital systemsIntegration

Ahmed leads implementation across client environments, connecting HIVENOX to the systems already in place so a Worker reads and writes where the business actually keeps its records.

Osama Sagheer
Full Stack Developer

Osama Sagheer

5 years experienceFull-stack developmentProduct interfaces

Osama builds the surfaces people use the dashboards, consoles and client-facing interfaces where the work an AI Worker does becomes something a team can see and act on.

Muhammad Jasim
AI Full-Stack Developer

Muhammad Jasim

3 years experienceAI engineeringAgent tooling

Jasim builds and wires the agent tooling behind the Workers, turning model capability into the concrete actions, integrations and fallbacks a production queue relies on.

Work with us

Tell us which function is hurting most.

We will show you the Worker that owns it, what it would take to put it into production, and what the outcome would have to be worth for us to bill on it.

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