Explainable discovery intelligence

Explainable AI Infrastructure for Discovery Intelligence.

Drug discovery. Evidence intelligence. Research automation. Built for biotech, academia, and translational medicine.

7Product apps
ExplainableMethods-first AI
Research-gradeBuilt for scientific review
Fast pilotsReport-first delivery

One platform. Seven research apps.

MULLIX brings digital twin modelling, drug discovery, evidence intelligence, manuscript support and data automation into one modular research intelligence platform.

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MyoNeuroTwin

Cross-tissue transcriptomic pipeline linking motor neuron and muscle data to hub genes and repurposing candidates.

Hub genes • pathways • repurposing Open MyoNeuroTwin →
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Digital Twin

Interactive digital twin demo simulating neuromuscular disease trajectories from transcriptomic inputs.

Simulation • trajectories • demo Open Digital Twin →
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SmartCite

Literature mapping, citation context and reviewer-ready scientific manuscript support.

Evidence maps • references • drafts Open SmartCite →
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EDI

Bias detection, readability scoring and inclusive rewriting for grants, policies and scientific text.

Bias checks • audit trail • clarity Open EDI →
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Manuscript Copilot

Structural cleanup, figure assembly and humanised drafting support for scientific manuscripts.

Drafting • structure • figures Open Manuscript Copilot →
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Data Cleaner (Excel)

Convert messy Excel, CSV and research files into clean, reproducible analysis-ready datasets.

Cleaning • conversion • reproducibility Open Data Cleaner →
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BridgeSeq

Prepares raw sequencing files and metadata for RNA-seq pipelines, from FASTQ through to a validated samplesheet.

FASTQ • samplesheets • QC Open BridgeSeq →

From messy input to credible decision.

1
IngestOmics files, grants, manuscripts, policies, spreadsheets or literature sets.
2
InterpretExplainable AI workflows extract signals, evidence, bias, pathways and ranked options.
3
DeliverDecision-ready reports, cleaned data, ranked candidates and reproducible outputs.

"MULLIX is designed as a credibility layer between AI speed and scientific judgement."

Built around transparent workflows for real research contexts: biotech pilots, grant support, literature intelligence and reproducible data operations.

Start with a pilot
Pilot offer

Bring one dataset, draft or research problem.

We'll turn it into a structured discovery intelligence report: evidence, risks, ranked outputs and recommended next actions.

Book a pilot discussion