Agricultural Data Infrastructure, Integration & Predictive Analytics for Operational Decision-Making

Service offered: Tisalytics Bio builds data pipelines and predictive models for agrifood operators who are sitting on underutilised operational, sensor, or environmental datasets. We specialise in structuring fragmented data sources (IoT sensors, field records, weather feeds, lab results, satellite imagery outputs) into clean, analysis-ready infrastructure, and then deploying ML models for yield forecasting, input optimisation, and risk prediction.

Relevant challenges we address:

• Siloed or inconsistently formatted data across farm management systems, labs, and field teams

• Lack of in-house capacity to derive predictions or KPIs from existing data

• Need for decision-support tools without the overhead of a full data science team

• Desire to benchmark operational performance or stress indicators across growing cycles

What agrifood SMEs gain: A practical analytics partnership — from data audit and pipeline design to deployed prediction models and visual dashboards — without requiring internal data engineering resources.