KyperX AI / Solutions
Four defined ways to work with KyperX AI: find where AI is worth applying, automate an operational process, build a private AI environment, or develop a custom AI system. Each starts with a written scope, runs remotely by default and can carry through to implementation.
An Australian AI engineering company · KyperX Pty Limited · Starting prices in US dollars
Based in Australia? Australian engagements with AUD pricing →
Engagements
Each engagement has a clear purpose and published pricing guidance. Starting prices describe the smallest sensible scope; your scope, schedule and fee are confirmed in writing before work begins.
01 · Entry engagement
From US$3,000
A decision document, not a workshop. KyperX examines your workflows, information, systems and constraints, then sets out which AI opportunities are feasible, which are not, and the order in which to pursue them.
For: organisations that expect AI to help but have not yet chosen a project.
What the assessment delivers →02 · Implementation
Engagements from US$8,000
Automate a repetitive business process end to end: reading and extracting information, routing work, drafting controlled responses and updating the systems you already use, with people reviewing the cases that need judgement.
For: a known, recurring process that absorbs staff time.
Pilots and production automation →03 · Controlled deployment
Scoped to requirements
An AI environment designed around where your information may be processed, who may reach it and how it is governed. The architecture could be controlled APIs, private cloud, on-premises or hybrid; it is chosen from the requirements.
For: organisations whose security, access or data-location requirements rule out a default AI service.
Architectures, trade-offs and controls →04 · Development
Initial development engagements from US$10,000
Build an AI-enabled product, internal platform or specialised system when available software does not solve the problem, in stages that test the riskiest assumptions before larger commitments.
For: a specific capability that has to be engineered rather than bought.
The development pathway →Prices in US dollars. Taxes, travel, infrastructure and third-party costs are not included unless your written scope says so.
Decision aid
Start from where you are, not from a technology choice. If your situation is not listed, describe it and we will suggest a first step.
| Where you are | Where to start |
|---|---|
| Leadership wants to use AI, but no project has been chosen | AI Opportunity Assessment, to compare candidate opportunities on value, feasibility and risk before funding any build. |
| One process clearly consumes too much time | AI Automation, beginning with a pilot on that single, bounded workflow. |
| Security, access or data-location rules block the obvious AI tools | Private AI, beginning with discovery and an architecture decision. |
| You need a product or capability nobody sells | Custom AI Systems, beginning with technical discovery and, where scope allows, a prototype. |
| An AI system is in place but not performing | Describe it in an enquiry. The usual first step is evaluating it against representative data before deciding whether to fix or rebuild. |
Typical problems
Grouped by the shape of the work, because the same patterns appear across industries. These describe capability, not client engagements.
01
Applications, invoices, claims, reports or correspondence that people read, key in and check by hand.
02
Policies, procedures and technical records spread across systems, answered with references and within existing permissions.
03
Summaries and reports assembled from several sources on a schedule, with figures traceable to their sources.
04
Work that needs interpretation at several points, redesigned with explicit decision points and a record of each action.
05
Assistants and internal tools built on the organisation’s own information instead of a general-purpose chat product.
06
AI capabilities designed into software you offer, with the evaluation and monitoring needed to run them responsibly.
07
Models and retrieval running where your information is allowed to be processed, with access and logging designed in.
08
Bounded interfaces between AI components and business systems, so a failure is visible instead of silent.
Method
Engagements follow the same sequence. An assessment spends most of its time in the first two stages; a production system passes through all five.
01
How the work is done today, what information it relies on, which systems are involved and what constrains it.
02
The approach, where it runs and how it connects, with the alternatives and trade-offs written down.
03
Build and integrate, including exception handling and controls rather than only the main path.
04
Measure against criteria agreed before the build, on data that represents real use.
05
Release with documentation and handover, and a separate support or operation arrangement if you want one.
Each stage ends with something you can review before approving the next. How engagements are scoped and evaluated →
Working across borders
The practical points international organisations ask about first. Detailed terms belong in the written agreement, not on a web page.
| Topic | How it works |
|---|---|
| Contracting entity | KyperX Pty Limited, an Australian private company (ABN 59 619 985 036). KyperX does not operate offices or entities outside Australia. |
| Delivery | Remote by default. Meeting times, overlap hours, stakeholder access and a named contact on each side are agreed at the start. Travel or on-site work is agreed and costed separately where it is needed. |
| Scope and fees | Starting prices are published in US dollars. The scope, currency, fee and payment schedule are confirmed in a written proposal before work begins. |
| Taxes and third-party costs | Applicable taxes, cloud and model consumption, infrastructure, licences and any local advisers are identified and handled in the written agreement. |
| Information sharing | How material is shared, stored and returned is agreed before any sensitive information is provided. |
| Data location and hosting | Where systems run and where data is processed depend on your requirements, your jurisdiction and the services available there. They are established during discovery, not assumed. |
Describe what you want to improve, build or decide. We will suggest the engagement that fits, or tell you if none does.
Technical depth
Engagements describe what you can buy. These pages describe the underlying work, its limits and how it fails.
These pages set out KyperX AI’s method and scope discipline. They are not client case studies.
Questions
Pricing, commitment and working remotely.
Yes. Engagements are designed to run remotely, with working hours, meetings and contacts agreed at the start. Whether a particular engagement suits remote delivery, for example one that needs on-site hardware work, is discussed before scoping.
The smallest scope that makes the engagement worthwhile. It is not a fixed quotation. Larger scopes, production systems and private AI deployments are quoted to requirements, and the written proposal lists what is and is not included.
Yes. An initial conversation to understand the requirement and suggest a starting point is not charged. Paid work begins only once you accept a written scope and fee.
No. Describe the problem. Choosing models, infrastructure and integration approaches is part of the engineering, and the reasoning is documented.
Ownership, licensing and usage rights are set out for each engagement. Custom deliverables, pre-existing KyperX components, third-party software and models, and infrastructure are treated separately, and the agreement says which is which.
Governing law, liability, confidentiality and data-handling terms are agreed in the written engagement. Nothing on this page sets them.
Enquiry
Tell us what you want to improve, build or decide, and where your organisation is based. We will suggest the engagement that fits, or say so if none does.
Prefer email? Write to ai@kyperx.com.
It has reached KyperX AI with the context of this page. We reply by email, usually with a few questions or a suggested time for a short call.
If you have not heard from us, check your junk folder or write to ai@kyperx.com.