Local AI deployment
AI running on your own hardware, configured for your work. We assess fit, set up models, connect approved data, configure access and train your team.
Software at Big Cat
Custom software, local AI deployment and practical technology services for your business. We also develop farmER P, our connected farm operating platform.
Custom work
Bring us a process that takes too much time, information that is hard to find or tools that need to work together. We help define and build a practical solution for your team.
AI running on your own hardware, configured for your work. We assess fit, set up models, connect approved data, configure access and train your team.
Internal tools, customer-facing portals and operational systems aligned with how your team actually works.
Connect data and workflows across existing software to reduce repeated entry and manual handoffs.
Organize scattered information into views people trust—without rebuilding everything from scratch.
Clear business websites and lightweight digital tools that support sales, service and day-to-day operations.
Technology planning, rollout, documentation and practical help so systems stay usable after launch.
Contact Austin Jamieson to talk through goals, constraints and whether a build makes sense.
Discuss a projectLocal AI
Run useful AI tools on company-owned servers or workstations. We help you choose suitable hardware and models, decide which documents to connect and give the right people access. Hosting, data handling and any external connections are agreed as part of the setup.
We review your workflow, documents, existing hardware and access needs, then agree on a first use case and how to check the results.
We configure suitable models, connect approved content and integrate useful steps with your existing tools. Access permissions and staff review are part of the design.
We train your people on everyday use, document how the system works and agree on a sensible plan for updates and questions afterward.
Start with internal document search, drafting from templates or routine paperwork. We check the output against your needs and keep your staff involved in reviewing important results.
Discuss local AIfarmER P platform
farmER P is the system of engagement. Specialist applications remain systems of record for their domains while durable data flows create one farmer-facing experience.
The command centre: shared identity, farm master data, role-based access, action queues, approvals, audit history, cross-module forecasts and unified reporting.
Fields, agronomy, crop plans, input programs, scouting, spatial evidence and land-decision intelligence.
Jobs, equipment, service, parts, inventory, load movements and the operational reality of getting the work done.
Grain position, cash bids, futures, contracts, deliveries, settlements, marketing plans and price-risk decisions.
Source documents, receipt review, banking, payables, receivables, tax, payroll and the farm’s daily books.
Reconciliations, workpapers, adjusting entries, period close, statements, tax support and lender-ready reporting.
Connected workflows
A connected suite matters when a real workflow can cross land, operations, markets and finance without duplicate entry or ambiguous ownership.
Platform principles
The farm needs clear ownership, durable workflows and evidence—not another layer of loosely connected charts.
Each domain has a clear system of record. farmER P presents the operating picture without creating shadow copies.
Important actions carry workflow state, permissions, audit history and an explicit responsible person.
Recommendations and forecasts should show their source, recency, uncertainty and the assumptions that shaped them.
See the operating layer