AI-powered Optimization Platform
IonGenik is an advanced analytics platform that transforms raw data from the IonMetrik device into actionable insights.
A snapshot of your entire research pipeline.
Analytics
Know more about your experiments than spreadsheets ever showed you.
IonGenik connects structured study data with live dashboards so your team can monitor progress and compare outcomes without manual consolidation.
Dashboard
See the full picture at a glance
Track studies, treatments, and sample velocity over time with KPI cards and charts built for active trials.
Metrics
Track what your protocol defines
Choose the metrics that matter per study and record readings with units, enums, and direction targets baked in.
Comparison
Benchmark against controls
Compare treatment performance to control groups so you can spot meaningful differences sooner.
Ingestion
Start from IonMetrik data
Bring raw device output into a structured research model instead of rebuilding context in spreadsheets.
Scale
Built for multi-team research
Run parallel studies across teams and sites while keeping protocols, permissions, and audit history intact.
Workflow
From protocol to insight, in one place.
IonGenik mirrors how plant scientists actually work — structured data in, actionable analysis out.
Structure
Model experiments with confidence
Define studies, treatments, and cohorts once — then reuse the same hierarchy across every trial.
Capture
Record measurements in the field
Log observations against samples with the metrics your study tracks, including backdated readings.
Collaborate
Keep the whole team aligned
Invite colleagues, assign roles, and see activity across shared teams without losing context.
Optimize
Turn raw readings into direction
Compare treatments against controls and surface trends that help you decide what to run next.
Structure
Nested the way your experiments actually run.
Every reading lives inside a clear parent chain — so comparisons stay honest, audits stay readable, and analysis always knows what it is measuring against.
- 01
Study
The research project — species, variety, protocol, and which metrics you care about.
- 02
Treatment
One condition under test, with its physical configuration and variable parameter.
- 03
Group
A cohort within a treatment, including the control that everything is compared against.
- 04
Replicate
A physical tray or batch — the realized instance of a group in the greenhouse or lab.
- 05
Sample
An individual plant or seed in a tray, identified by its position.
- 06
Entry
A dated observation — the metric readings that drive analysis and recommendations.