Document intelligence
OCR and field extraction from applications, invoices and certificates.
AI Solutions
Applied AI that explains its answers.
We build AI into the systems you already run: reading forms and documents, forecasting demand or dropout risk, answering questions from your own documents, and analysing images, with explanations your staff can check.
- Explainable models
- Your data stays yours
- Measured accuracy
aiModel monitor
Docs processed18,240+9%
Field accuracy97.8%held-out
P95 latency240 msAPI
Drift alerts1review
Validation accuracy%
Deployed models
| Model | Task | Ver. | Status |
|---|---|---|---|
| doc-extract | Form OCR | 2.3 | Live |
| risk-early | Dropout risk | 1.4 | Live |
| xray-triage | Image triage | 0.9 | Review |
| reco-graph | Course reco | 1.1 | Training |
Modules
What AI Solutions covers
Predictive analytics
Admission, demand, attrition and dropout-risk forecasts with confidence bands.
Grounded assistants
Chat assistants that answer from your documents and cite the source.
Computer vision
Medical image triage, quality inspection and attendance by recognition.
Recommendations
Course, content and product recommendations from graph-based models.
Explainability & monitoring
Feature attributions, drift alerts and accuracy reports after launch.
How it works
The workflow, step by step
Data audit
We check what data exists, its quality and its consent basis.
Prototype
A baseline model is built and tested on your historical data.
Validation
Results are reviewed with your domain experts against agreed metrics.
Deploy & monitor
The model goes live with drift and accuracy monitoring.
Who uses it
Built for every desk involved
- Management and planning
- Admissions and academic teams
- Clinicians and radiology
- Operations and quality
Deployment
Ready for your setup
- On-premise deployment for sensitive data
- Explanations shown with every prediction
- Human review for high-stakes decisions
- Integrates with Zoravik products and third-party systems
Questions
Asked before every rollout
Does our data leave our servers?
It does not have to. Models can be trained and served on your own infrastructure when data is sensitive.
How do we know the model is accurate?
Accuracy is measured on held-out data before launch and reported monthly afterwards, with alerts when it drifts.
Will AI replace staff decisions?
We design for review: the model suggests and explains, and your staff approve high-stakes outcomes.
See AI Solutions with your own records.
We will set up a walkthrough using a sample of your data and outline the rollout, training and support plan.
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