Your AI research and engineering team in Perth.

We screen, diagnose, design and deliver AI solutions that improve your current workflows. Then we help you build your own research and development engine to improve your product, so the AI advantage belongs to you, not to your vendors or competitors.

1Put AI into the work you do today
    2Build an R&D engine you own
    • Your data
    • Research
    • Models
    • Live

    How we work.

    Two layers. First we put AI into the work you already do. Then we build the research and development that makes your product hard to copy.

    1

    Put AI into the work you do today

    Four steps. You can stop after any of them, and each one leaves you something to keep.

    1

    AI workflow screening

    Where AI helps, and where it doesn't

    We review how your team actually works, task by task, and test each workflow against what today's AI can reliably do.

    You get

    • A report rating each workflow: automate, assist, or leave as is
    • The reason, effort and risk for each rating
    • A short list of concepts worth prototyping
    Typically 2 to 4 weeks, fixed price
    2

    Concept design and proof of concept

    Prove it on your data

    We design the solution and build a working prototype on your real data. Success measures are agreed before we start, so the result is a clear yes or no.

    You get

    • A concept design and a prototype your staff can try
    • An evaluation against the agreed measures
    • A go or no-go recommendation with build cost
    Typically 4 to 8 weeks
    3

    Production development

    Build it properly

    We turn the prototype into reliable software, connected to the systems you already use and deployed in your cloud or on your own servers.

    You get

    • Production software, source code and documentation
    • Integration with your systems and sign-in
    • Security review, logging and access controls
    Typically 2 to 6 months
    4

    Support and improvement

    Keep it working

    AI systems drift as data and models change. We monitor quality, update models, and add features as your team asks for them.

    You get

    • Ongoing quality monitoring and evaluation
    • Model and data updates
    • A named engineer who knows your system
    Monthly, scaled to use

    Step 1 gives you a report like this

    An example for a Perth engineering consultancy. Every workflow gets a rating and a reason.

    2 automate2 assist2 leave as is
    WorkflowRatingWhy
    Copying figures from supplier quotes into estimatesAutomateRepetitive extraction from PDFs, and every figure can be checked against the source
    Finding past project reports on similar sitesAutomateSearch across the archive with the source page cited
    Drafting site inspection reportsAssistAI drafts from photos and field notes; the engineer reviews and signs
    Checking tenders against specificationsAssistAI flags gaps for a person to confirm; the cost of a miss is high
    Monthly safety statisticsLeave as isAlready automated in your reporting system
    Client negotiationsLeave as isRelationship work with little for AI to add
    2

    Build an R&D engine you own

    Anyone can buy the same AI models. What competitors can't copy is a method built on your data, for your problem. Our dedicated research team builds it with you and puts it into production.

    What we build

    • Custom models and methods, tested with research rigour
    • Research on your own question, published if you want
    • Benchmarks of vendor AI tools on your data

    How it can be funded

    • Records that support R&D Tax Incentive claims
    • Research collaborations with suitable research groups
    • Exploring research grants together and preparing the applications

    Both layers can run entirely inside your network. See how private AI works

    Our work across five domains.

    In each domain we built the data foundation first, then the research on top. Most AI projects stall at the data. We do both.

    Mining and geoscience

    GeoPlatformMineTraceCoreTraceRuns on your servers

    WA holds decades of public exploration data, but turning it into a drilling decision still takes specialists weeks. We built the platform that puts it in one place, and the models that read it.

    Grey dots are geochemistry samples. The research layer adds modelled prospectivity and the deposits discovered after 2020 that we used as a blind test.

    Data engineering foundation

    • One spatial database of GSWA geochemistry, geophysics, mapped geology, structure and drillholes
    • Mirror of NVCL HyLogger drill-core scans, plus uploads of a company's own samples
    • Neighbourhood queries fast enough for interactive maps, about 30 ms over 10 km
    • Open data clients and an agent interface so AI assistants can query it directly

    Research capability

    • Prospectivity scoring for eight metals, with the evidence behind every score
    • Blind-tested against deposits discovered after 2020
    • Automatic core logging, unusual intervals and gold likelihood per metre
    • Search for similar core anywhere in the State

    For explorers, mining services companies and geological consultancies.

    Property and planning

    KeysRuns on your servers

    Everything a buyer or planner needs to know about a Perth block is public, but it sits with more than a dozen agencies. We joined it at the level of each parcel.

    Each block is a parcel coloured by zoning, with flood and bushfire overlays. The research layer traces the view from one block to the ocean.

    Data engineering foundation

    • Every Perth-metro parcel linked to zoning, R-codes, bushfire and flood mapping
    • Schools, crime, Census demographics, public transport and powerlines on the same parcel
    • Development applications synced nightly from state planning registers
    • Built entirely from open WA and ABS data, with licences tracked per source

    Research capability

    • Ocean-view score for each parcel, computed from 1 m elevation models
    • Urban heat estimates from Landsat surface temperature
    • A chat assistant that answers only from the parcel database

    For agents, developers, valuers, planners and local governments.

    Child and youth health

    ACYWARuns on your servers

    Policy teams need to compare child wellbeing across areas, but the indicators come from many agencies in different shapes. We built the national atlas that brings them together.

    Each cell is a statistical area. The research layer matches a plain-English question to an indicator and shades the map.

    Data engineering foundation

    • About 3,600 wellbeing indicators across seven domains, from learning to safety
    • Harmonised to every SA2, SA3, SA4, LGA and state in Australia
    • Interactive maps for each indicator and area

    Research capability

    • An assistant that finds the right indicator from a plain-English question and opens the map
    • Measured accuracy of AI database answers on the atlas, using our own database benchmark

    For government agencies, health services, researchers and community organisations.

    Energy and decarbonisation

    BiomassFluxRuns on your servers

    Farm, forestry and food-processing residues can replace diesel and coal, but only if the supply, haul distance and plant size add up. We built the platform that does that sum for any place in Australia.

    Dots are residue sources sized by annual tonnes, squares are processing sites. The research layer routes supply within a radius to a candidate plant.

    Data engineering foundation

    • State biomass residue assessments harmonised into one national table by region and feedstock
    • About 20 million dry tonnes of residue a year mapped for WA alone
    • Wood processors, wineries, feedlots, biogas and waste sites on the same map
    • Standing biomass from satellite and national carbon-accounting rasters

    Research capability

    • A calculation engine following the CSIRO and NSW BioSMART methods, tested against their formulas
    • Transport fuel, cost and emissions for each haul, by road route
    • Six end uses compared side by side: power, co-firing, hybrid solar-biomass, industrial heat, biochar and liquid fuels
    • Carbon abatement for each scenario

    For energy developers, miners planning to decarbonise, agribusiness and councils with organic waste.

    Document intelligence

    Runs on your servers

    Most organisations keep their knowledge in PDFs: reports, contracts, scanned maps. We turn archives like WA's mineral exploration reports into data people can search and question.

    A scanned report page with its text, table, figure and formula detected. The research layer turns them into linked records and a georeferenced map.

    Data engineering foundation

    • A pipeline that reads text, layout, tables, formulas and figures from scanned documents
    • Extracted facts stored in a structured warehouse, each linked to its page
    • Applied to the WAMEX exploration report archive

    Research capability

    • Automatic georeferencing of scanned geological maps
    • Extraction of places and dates from free text
    • Testing whether AI answers from a database are right, across 220 databases

    For any business with an archive of reports, contracts or records searched by hand.

    Every application runs entirely inside your network.

    All the platforms on this page can be installed on your own hardware with open-weight models. Nothing is sent to an external AI provider, and they keep working when the internet doesn't. For many WA companies this is the condition for using AI at all.

    Mining

    An exploration platform that never phones home

    Explorers hold their most sensitive data before it is announced: new assays, core scans, target maps. With an on-premise install, GeoPlatform, MineTrace and CoreTrace sit on your server next to that data. Public geoscience flows in; your results and the scores built from them stay with you.

    Public dataGSWA geochemistrygeophysics, geologyNVCL core scans sync in Your server, in the office or at site GeoPlatform MineTrace scoring CoreTrace logging Local language model Your assays, core scans and targets Cloud AI Nothing about your ground leaves the building
    • Unannounced results stay off third-party services until you report them
    • Works at remote sites with poor or no internet
    • Your own samples are scored alongside public data, privately
    Voice

    A voice assistant with no cloud

    A device in the room listens for its wake word locally. A server on your network does speech recognition, the language model and the reply voice.

    Measured response times

    First word from an 8B model on a local GPU server43 ms
    Same step with a small cloud model720 ms
    Same step with a large cloud model2,400 ms
    From end of speech to the reply starting320 to 434 ms

    Local is not only more private, it can be faster too.

    Prototype

    The team and platform behind it.

    Your project doesn't start from a blank page.

    People

    Experienced developers and researchers

    Engineers who have shipped production software, working alongside PhD researchers in machine learning, language, geospatial data and speech.

    • Peer-reviewed research, and the evaluation habits that come with it
    • Full-stack delivery: data pipelines, models, web apps, deployment
    • Based in Perth, on-site with your team when it helps

    Applications

    Where we've already built, and more to come

    Proven parts we reuse, so your project starts ahead.

    Infrastructure

    Ready to prototype from day one

    The infrastructure is already in place, so we start prototyping your idea from the first day.

    • Spatial data platforms with WA public data already loaded
    • GPU servers for running models locally
    • A deployment setup that installs any of our applications on your own servers
    • Edge devices for AI on site and in the room

    Questions we often hear.

    If yours isn't here, just ask us over a coffee.

    We don't know where AI fits in our business. Is it too early to talk?

    No, that is the most common starting point. A workflow screening exists for exactly this. We look at how your work is done and what data you hold, and report honestly where AI is worth it and where it isn't.

    Where does our data go?

    Wherever your rules say: fully on your own servers, or in Australian cloud regions if you prefer. We tell you which external services, if any, a design uses before we build it.

    Who owns what you build?

    You own the code and models we build for you. Where we use one of our existing platforms, it is licensed to you, and we say which parts are which before work starts.

    Our data is messy. Do we need to fix it first?

    Usually not. Most of our projects start from scanned reports, spreadsheets and old databases. The screening report says what is usable now.

    How do you charge?

    Workflow screening is fixed price. Proofs of concept are fixed scope and price. Production work is quoted per milestone, and support is a monthly fee. R&D work may be eligible for the R&D Tax Incentive, and we keep the records that support a claim. We can also help set up research collaborations with suitable research groups.

    Keen to have a chat?

    If you'd like to talk something through, feel free to schedule a coffee chat, an online meeting or an in-person meeting. Just drop us a line.

    Coffee chatOnline meetingIn person

    No need to prepare anything. A rough idea of what you'd like to improve is plenty.