THE OPERATING SYSTEM FOR PLANT PROTEINS

Formulate
with certainty.

ProtAIn combines protein biochemistry with predictive modelling to optimise processing parameters, improve functionality, and compress R&D from months to weeks.

The Problem

Plant proteins behave unpredictably under processing — and trial-and-error R&D can't keep up.

01

The Translation Gap

Published protein data doesn’t predict behaviour under your processing conditions — shear, pH, thermal history all change the outcome.

REPLICATION_GAP: 73%
02

Batch-to-Batch Variability

Different protein sources, suppliers, and extraction methods create unpredictable functionality — gelation, texture, and solubility shift between batches.

VARIABILITY_COST: 18.4%
03

Knowledge Loss

Processing insights from past formulations are locked in spreadsheets, bench notes, and the heads of senior scientists who leave.

DATA_LEAK: 60TB+
04

Trial-and-Error Trap

Millions of processing parameter permutations can’t be tested physically. Without predictive models, R&D teams are trapped in costly experimental loops.

TRIAL_WASTE: $1.2M/yr

Not charts. Scientific instruments.

ProtAIn generates interactive analysis widgets — extraction simulators, root cause tracers, material profilers — directly inside your conversation. The move from trial-and-error to predictive protein optimisation, grounded in your data and the published literature.

Generative UIExtraction SimulationRoot Cause AnalysisMaterial ProfilingParameter Optimisation

Extraction Simulator

pH Range7.2
Temp (Celsius)45°

Predicting 84.2% yield with low denaturation risk.

400nm500nm600nm700nm

Why the batch failed. What the protein is made of.

Root cause + composition.

When something goes wrong in a batch, ProtAIn doesn't just flag the failure — it traces the causal chain back to the source variable. Pair that with real-time compositional profiling to understand why your protein behaves the way it does.

Root Cause Tracer

Trace batch failures back to source variables.

✓Raw Material
↓
✓Extraction
↓
✗Thermal
LIKELY CULPRIT
↓
?Gelation

AI Diagnosis: Temperature exceeded threshold by 22°C

Raw Insight

Real-time material profiling.

Globulins65%
Albumins20%
Glutelins10%
Prolamins5%
GelationSTRONG
FoamingMODERATE
SolubilityHIGH
EmulsificationSTRONG

From structure to process to function. One platform.

Three layers, one workflow.

Connectivity

The Knowledge Base

Stop searching and start discovering, with provenance.

  • Query the knowledge base using natural language.
  • Team-isolated workspace — your data, your confidentiality.
  • Every insight anchored to its source, whether a trial or a study.
Reasoning

The Co-Scientist

Your research partner in causal discovery.

  • Traces causality to understand the why.
  • Parameter-level recommendations for processing variables.
  • A library of specialized skills for recurring workflows.
Execution

The Virtual Lab

High-fidelity workbench where your team actually works.

  • Interactive simulations for processing variables — pH, temperature, dwell time and more.
  • Skill modules for batch analysis, EDA, structural modeling and growing.
  • Prediction models to test solubility and gelation before physical trials.
  • Save only the most relevant exchanges and simulations.
Four steps. Real answers.

The platform behind every insight.

1
Knowledgebase/New hypothesis

Start from what's known — or propose a new hypothesis

Query the pre-loaded plant-protein knowledgebase, or sketch a new hypothesis to explore.

2

Upload your data

Drop in batch records, trial results, or proprietary documents. ProtAIn structures them into your private graph.

3

Analyse

Query the combined graph for cross-batch correlations, parameter recommendations, and failure-mode tracing.

4

Recommended next steps

Get specific processing parameters and follow-up experiments — with reasoning and citations.

Reimagine R&D

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