AI solutions

We build AI that does a specific job inside your organisation — and we start by checking whether AI is the right tool at all. Every solution below is designed, engineered, evaluated and supported by the same team.

Discuss an AI project See how we work

Generative AI

The problem: Knowledge sits in documents, policies and systems that staff cannot search quickly — and generic chatbots invent answers.
Our approach: Assistants grounded in your own sources with retrieval, citation of where each answer came from, access control and systematic evaluation before release.
The value: Faster access to trusted information, with answers people can verify.

Internal knowledge assistants
Document summarisation and drafting
Structured extraction from unstructured text

Machine learning

The problem: Patterns that matter are buried in more data than people can review.
Our approach: Start from a clear target and a simple baseline, then add complexity only when it earns its place. Every model is tested on data it has never seen.
The value: Models whose performance you understand before you depend on them.

Classification and risk scoring
Anomaly detection
Segmentation and clustering

Predictive analytics

The problem: Planning relies on last month’s reports instead of a view of what is likely next.
Our approach: Forecasting and driver analysis built on reliable historical data, with uncertainty shown honestly rather than a single confident number.
The value: Earlier, better-informed decisions on demand, capacity and risk.

Demand and capacity forecasting
Churn and attrition risk
What-if scenario tools

Computer vision

The problem: Images and video hold information that is slow and inconsistent to inspect by hand.
Our approach: Detection, segmentation and classification models trained on representative images, with visual explanations of what the model looked at.
The value: Consistent visual inspection at scale, with results reviewers can audit.

Image classification and detection
Visual quality inspection
Medical and scientific image analysis

Natural language processing

The problem: Free text — notes, emails, forms, feedback — is rich but hard to use in analysis or automation.
Our approach: Language models adapted to your domain vocabulary for extraction, classification and search, evaluated against human-labelled examples.
The value: Unstructured text becomes structured, searchable data.

Entity and information extraction
Text classification and routing
Semantic search

AI automation

The problem: Teams spend hours on repetitive steps: reading, sorting, re-keying and chasing.
Our approach: Automate the predictable path and send uncertain or unusual cases to a person, with every automated decision logged and reviewable.
The value: Time returned to skilled staff without losing control of exceptions.

Document intake and triage
Workflow orchestration
Human-in-the-loop review queues

Intelligent decision support

The problem: Decision makers need recommendations they can question, not black-box answers.
Our approach: Systems that present a recommendation together with the evidence and reasons behind it, and record when people agree or override.
The value: Better decisions, with accountability kept where it belongs.

Prioritisation and triage tools
Risk-assessment assistants
Explainable recommendation engines

Custom AI platforms

The problem: Off-the-shelf tools do not fit the workflow, the data or the risk profile.
Our approach: End-to-end products: data layer, models, APIs and user interface, designed and engineered as one system that you own.
The value: An AI capability shaped around your organisation, ready to grow.

AI-powered SaaS products
Internal AI platforms
Model-serving APIs

Not sure which approach fits?

Describe the problem and the data you have. We will suggest the simplest approach that could work.

Talk to our team contact@novarqis.com