One workspace, six connected modules.
Each module works on the same products, datasets, and specifications — so analysis, formulation, quality, and modeling stay in the same analytical context.
Food Analysis
Analyze nutritional, physicochemical, ingredient, and laboratory datasets against configurable specifications.
- Proximate and physicochemical parameters
- Observed vs reference comparison
- Deviation and status flags
- Analytical interpretation for review
Food Analysis — Whole Grain Bread, Batch 024
Formulation Intelligence
Compare formulations, model ingredient changes, and explore optimization scenarios side by side.
- Ingredient-level contribution
- Current vs baseline vs scenario
- Cost and nutrition trade-offs
- Functional role annotations
Formulation — High-Protein Snack Bar
Quality Intelligence
Analyze batch and QC data to identify trends, anomalies, and potential quality deviations.
- Batch and parameter tracking
- Specification ranges per product
- Trend and variation charts
- Anomaly review queue
Quality Intelligence — moisture by batch
Moisture values in the latest two batches are trending above the recent baseline. Outside configured specification — requires investigation.
Decision-support output — review before acting
Predictive Insights
Preview of planned predictive models for historical product and process data. Shown with demo data only; no trained model is live yet.
- Regression, classification, optimization
- Predicted vs observed views
- Model version and training metadata
- Evaluation metrics per run
Predictive Insights — predicted vs observed
Sensory Intelligence
Import panel results and analyse them with standard methods: hedonic ratings and ISO 4120 triangle tests.
- Mean, SD and 95% intervals per attribute
- Paired t-tests with Bonferroni adjustment
- Exact binomial triangle tests
- Stored, audited panel records
Sensory Intelligence — attribute profile
Panel mean, 0–9 scale · demo data
R&D Workspace
Keep formulations, experiments, datasets, notes, analysis, and decisions organized in one environment.
- Experiment records and stages
- Dataset lineage
- Shared workspace roles
- Exportable reports
R&D Workspace — datasets
See the modules working on demo data.
The demo environment is clearly labelled and contains sample products, batches, and datasets.