Scientific intelligence consultancy · Netherlands

Scientific evidence for prioritized R&D decisions

For biotech, pharmaceutical, diagnostics and healthcare teams assessing biomarkers, drug targets, clinical evidence, biological pathways and R&D workflows.

Evidence map

Sources → assessment → decision

PublicationsClinical trialsDatabasesInternal dataPrioritized decision

Biomarkers

Assess analytical validity, clinical validity and clinical utility.

Drug targets

Compare mechanistic, preclinical and clinical support.

Clinical evidence

Map trials, populations, endpoints and evidence gaps.

Pathways & workflows

Trace biological mechanisms and locate R&D bottlenecks.

What Is BioEvidex?

BioEvidex is an AI-assisted scientific intelligence and decision-support partner for biotech, pharmaceutical, diagnostics and healthcare teams. We connect evidence from publications, clinical trials, databases and internal knowledge to identify critical gaps, compare scientific options and recommend prioritized next steps.

Evidence connected across multiple sources

Publications, clinical trials, databases and internal knowledge, assessed together.

Analysis focused on your specific decision

Scope follows the biomarker, target, trial question or workflow in front of you.

Clear recommendations for the next R&D step

Options ranked by scientific relevance, with gaps and uncertainty stated.

The decision problem: evidence is fragmented

01

Evidence is scattered across publications, clinical trials, databases and internal knowledge.

02

Scientific teams lose time reviewing and connecting complex findings.

03

Weak evidence mapping can delay biomarker, target and development decisions.

04

Important gaps and risks may remain hidden until later development stages.

Evidence-to-decision workflow

A defined question, an auditable evidence assessment

We define the decision, assess relevant evidence, document contradictions and gaps, then rank the next steps by scientific relevance.

  1. 1Define the scientific decision
  2. 2Map the relevant evidence
  3. 3Evaluate evidence quality and consistency
  4. 4Identify gaps, risks and opportunities
  5. 5Recommend prioritized next steps

Decision-ready deliverables

  • Evidence maps
  • Biomarker and target comparison matrices
  • Clinical-trial landscape summaries
  • Scientific gap and opportunity assessments
  • Risk and uncertainty analysis
  • Prioritized recommendations
  • Customized scientific intelligence reports
  • Clear visual summaries for scientific and business stakeholders
Comparison matrixIllustrative structure — evidence strength per domainMechanismPreclinicalClinicalFeasibilityCandidate ACandidate BCandidate C

Example of how candidates are placed side by side per evidence domain. Structure is illustrative, not a result.

Working principles

Evidence is useful when its quality, uncertainty and relevance to the decision are clear.

Decision-focused, not information-heavy

Every output is organized around the choice your team has to make next.

Customized around each scientific question

No templates. The scope follows your target, biomarker or workflow.

AI-assisted and scientifically reasoned

AI accelerates retrieval and structuring; scientific judgement decides what matters.

Transparent, clear and actionable

Sources, uncertainty and reasoning are visible, so the conclusions can be challenged.

Bring us the scientific question slowing your next step

Tell us about your biomarker, drug target, clinical-evidence or R&D workflow challenge. Begin with a complimentary initial consultation to clarify the problem, identify the evidence required and define the right scope of support.

Request a Sample Report