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Expertise

Two domains.

One standard of depth.

Expertia concentrates its expert network on two major domains where scientific and technical depth changes the quality of decisions, analyses and deliverables.

Life Sciences, Biotechnology & Pharma

From fundamental research to development programmes — including diagnostics, medtech and pharmaceutical processes — Expertia deploys experts able to inform complex scientific decisions.

Covered sub-domains

Fundamental sciences

Immunology and inflammationInfectious diseases and vaccinesOncologyCell and molecular biologyMicrobiomeTranslational research

Preclinical & clinical development

Drug discoveryPreclinical strategyClinical developmentBiomarkers

Diagnostics & Medtech

DiagnosticsMedtech

Pharmaceutical processes

Biotechnology processesPharmaceutical manufacturingQualification and validationGMPC&QProcess validationTechnology transfer
Typical situations
  • Structuring a preclinical programme
  • Challenging a scientific hypothesis
  • Reviewing a biotech platform
  • Preparing a scientific due diligence
  • Analysing experimental results
  • Valorising a scientific asset
Livrables
R&D roadmapExperimental programmeProgramme reviewDue diligence reportBenchmarkLiterature reviewDecision memo

AI, Data & Advanced Systems

Expertia intervenes on complex decisions of research, architecture, validation and strategic AI adoption — beyond simple tool integration.

Covered sub-domains

Models & architectures

Foundation modelsLLMsTraining and fine-tuningRAGKnowledge systemsMultimodality

Applied AI

Scientific machine learningAI for scientific researchAI for healthComputational biology

Evaluation & reliability

Model validationBenchmarksEvaluation protocolsReproducibilityRobustnessBias and fairness

Systems & deployment

AI research strategyData strategySoftware architecturesDistributed systemsStrategic AI adoptionXR and immersive systems
Typical situations
  • Defining an AI roadmap
  • Evaluating an LLM or RAG foundation
  • Challenging an AI or data architecture
  • Examining model robustness
  • Preparing a technical due diligence
  • Assessing a software or scientific asset
Livrables
AI strategy memoArchitecture assessmentTechnical due diligence reportBenchmarkRisk reviewModel assessmentData strategy note

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