APPLIED AI ENGINEERING
Enterprise AI, engineered for production.
We build AI agents, private knowledge assistants and predictive models that connect to your systems, meet agreed performance targets and keep running after launch.
YOUR SYSTEMS
Documents · Databases · APIs · Sensors
AI MATE BUILDS
Agents · Knowledge assistants · Predictive models
Integrated through scoped tools, MCP servers and APIs
IN PRODUCTION
Security · Evaluation · Monitoring · Support
Most AI projects stall between the demo and daily use.
The model is rarely the hard part. Connecting it to real data, real permissions and real workflows is. That is the work we do.
WHAT WE BUILD
Three ways we help, each taken from idea to production.
01
AI agents & integrations
Agents that read from and act in your business
systems through narrow, permissioned tools, with
human approval where it matters. Includes custom
MCP servers and APIs.
02
Private knowledge assistants
Ask questions of your own documents, projects and
policies. Answers cite their sources and respect who
is allowed to see what.
03
Predictive & spatial models
Forecasting, geospatial modelling and downscaling
for environmental and operational data, validated
against held-out observations.
EXPERTISE
Language AI
Retrieval, agents and model customisation for organisations whose knowledge lives in text.
Predictive and spatial AI
Forecasting and spatial models built as repeatable pipelines, benchmarked against simple baselines.
HOW WE WORK
A clear decision at every step.
STEP 1
Assess
We define the problem, review your data and systems, and agree what success means.
STEP 2
Prove
We build a working prototype on representative data and measure it against those criteria.
STEP 3
Build & Run
We ship the production system, integrate it, monitor it and keep improving it.
HOW WE THINK
Engineering first. AI second.
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Sometimes the right answer is a search index or a forecast, not an agent.
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Security, access and monitoring are planned in week one.
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AI earns its keep inside the systems your teams already use.
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Managed cloud, your cloud or private infrastructure, chosen by data sensitivity.
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Baselines and acceptance criteria are agreed up front.
Request an Assessment
Submit project parameters, and a consultant will respond promptly to discuss objectives, timelines, and recommended next steps.