From Molecular Insights
to Therapeutic Innovation
IndiskaAIbuildscomputationaltoolsanddeliversanalysesforlife-scienceanddrug-discoveryteams,fromsequencesandstructurestoreportsyourscientistscanreview.
The way we process your data.
A seven-stage scientific research workflow.
- 01
Problem identification
Pin down the biological question and the decision it informs.
- 02
Problem understanding
The biology, how the sequences or structures were obtained, what a useful answer is.
- 03
Data analysis
Read the sequences, structures or expression tables as supplied: coverage, gaps, outliers.
- 04
Data preparation
Standardise numbering, formats and identifiers across sequences and structures.
- 05
Feature analysis
Find which sequence, structural or expression properties relate to the question.
- 06
Feature engineering
Turn those into descriptors: composition, physicochemical, interface, structural.
- 07
Modelling and reporting
Run the agreed analyses; receive tables, structures, figures and a written summary.
Computational biology, engineered.
Analysis services, software platforms and AI-assisted tools, as a one-off project or an ongoing program.


