/solutions/predictive-ai

Predictive AI & applied ML.

Forecasting, vision, NLP, LLM systems. In production, on real data.

AI shipped across finance, agriculture, media and industry

agritech · commodities trading · food-industry producers · sports-medicine clinics

What we build with AI

Four categories. All in production.

[ 04 / 04 ]

01 · forecasting

Forecasting & predictive models

Time-series and event prediction on noisy real-world signal.

→ moonsyst_oestrus-calving
→ commodities_price-prediction

02 · vision

Computer vision

Detection, classification and measurement from video and imagery.

→ food-industry_defect-cv
→ musculoskeletal_video

03 · nlp

Document understanding & NLP

Structured signal out of unstructured documents and text.

→ music-rights_reconciliation
→ invoice_processing

04 · synthetic-data

Synthetic data & training infrastructure

Synthetic data generation and training pipelines where real data is scarce, sensitive, or imbalanced.

Methodology

Every AI project lives or dies on what surrounds the model. Three rules we don't break:

Eval harness before the model

Evaluation comes first. If we can't measure whether it's working, we don't ship it.

Human override before autonomy

Autonomy is earned with evidence, not assumed.

Observability before celebration

We instrument behaviour in the real world before calling anything done.

Get in touch

We'll tell you honestly whether ML is the right tool — and if it isn't, what is.