Applied AI research studio

One AI core, woven into four industries that run on it.

Denhotech turns AI research into working systems for education, agriculture, finance and small businesses — collecting the data, training the models, and automating the tasks that used to take teams of people.

4
industries in production
12+
automations shipped
24/7
data pipelines running
live system mapcore.status: training
forms sensors records transactions AI CORE train · automate education agriculture finance small business
Where it runs

Four sectors, one core that adapts to each

Every deployment starts from the same research core, then specializes: different data, different rules, different people to answer to.

Education

Learning that adjusts to the student in front of it

Adaptive tutoring, grading assistance, and dropout-risk flags built from real classroom data, not generic benchmarks.

  • Personalised learning paths from performance data
  • Auto-graded assessments with instructor review
  • Early-warning alerts for at-risk students
Agriculture

Field decisions backed by field data

Soil, weather, and yield sensors feed models that tell farmers what to plant, when to irrigate, and when to act on disease risk.

  • Crop health monitoring from sensor and image data
  • Yield forecasting by plot and season
  • Automated irrigation and input scheduling
Finance

Risk and fraud caught before they cost you

Transaction-pattern models built for lenders and platforms who need answers faster than a manual review can give.

  • Credit-risk scoring from alternative data
  • Real-time fraud and anomaly detection
  • Automated reconciliation and reporting
Small business

The back office, running itself

Inventory, customer replies, and bookkeeping automated so owners spend their time on the business, not in it.

  • Demand forecasting and stock alerts
  • AI-drafted replies for customer messages
  • Automated invoicing and expense tracking
How it works

From raw data to a running system, in order

Each engagement follows the same four stages — nothing gets automated until it's been trained, and nothing gets trained on data no one has checked.

01

Collect

We connect to your existing records, sensors, or forms and build a pipeline that keeps the data flowing in clean and current.

02

Train

Models are trained on your data specifically, validated against real outcomes, and reviewed with your team before anything ships.

03

Automate

The trained model takes over the repeatable decisions and tasks, with clear rules for when it hands off to a person.

04

Monitor

We track accuracy and drift over time and retrain on schedule, so the system keeps improving instead of quietly going stale.

Under the hood

What the platform actually does

The same four capabilities, reused across every sector we serve.

01 / research

Applied AI research

We test what actually works for your problem before building anything you have to maintain.

02 / data

Data collection

Structured pipelines that pull from forms, sensors, and existing systems into one clean source of truth.

03 / training

Model training

Models trained and validated on your own data, with plain-language reports on what they can and can't do.

04 / automation

Workflow automation

The repeatable parts of the job run on their own, with a clear handoff back to a person when it matters.

Bring us a real problem.

Tell us what's slow, manual, or guesswork in your organisation. We'll tell you honestly whether AI is the right fix — and build it if it is.