Evidence is fragmented
Relevant knowledge sits across publications, scientific databases, reports and internal documents.
Biomed_Advisor brings selected AI models, biomedical sources, domain expertise and organisational knowledge into one evidence-aware research tool.
Find relevant evidence, examine it in context and prepare structured outputs for expert review.
More focused than a general scientific workbench. More flexible than a single-model solution.
The challenge follows a clear sequence. Evidence is dispersed, difficult to judge in context and slow to turn into work that colleagues can review.
Relevant knowledge sits across publications, scientific databases, reports and internal documents.
Finding a source is not the same as understanding its relevance, quality, limitations or relationship to conflicting findings.
Teams spend substantial time assembling evidence, structuring conclusions and preparing material for expert review.
Biomed_Advisor combines selected models, trusted biomedical content and structured research workflows. Domain intelligence is built into the product rather than added as a generic prompt layer.
Biomed_Advisor is the first product implementation of the ScAience Domain Intelligence Framework. It brings evidence standards, biomedical terminology, ontologies, curated sources and specialist content partnerships into a focused user experience.
Capabilities are shown inside the workflow so customers can see what the product does at each step.
Set the research question, scope and required output.
Bring together relevant literature, selected sources and internal material where configured.
Inspect findings, source context, limitations, relationships and conflicting evidence.
Organise evidence into a consistent research brief or defined analysis.
A short visual walk-through of how a biomedical question moves through Biomed_Advisor — from framing, to assembling evidence, to a structured output ready for expert review.
Biomed_Advisor · Product journey
Each trial is gives you access to our workflow tools.
Bring together findings across studies, map the current state of research and structure the evidence for expert review.
Try it with your research taskStress-test scientific reasoning, identify limitations and conflicting evidence, and strengthen analyses, claims and conclusions.
Try it with your research taskExplore the evidence supporting a biological target or mechanism and organise unresolved questions, contradictions and causal relationships.
Try it with your research taskTurn evidence gaps and unresolved findings into testable hypotheses, and discover complementary research models linking mechanisms to experimentally testable predictions.
Try it with your research taskTransform complex research into in-depth articles, expert narratives and presentation-ready scientific stories.
Try it with your research taskOrganise complex findings into clear comparison tables, evidence summaries and publication-ready scientific visuals.
Try it with your research taskRepresent the research landscape as a network of biological entities and explicit relationships, while preserving how strongly each relationship is supported by the underlying evidence.
Try it with your research taskTurn scientific analyses into interactive web apps for exploration, comparison, scenario testing and expert decision support.
Try it with your research taskBiomed_Advisor is designed to keep the sources, domain context and human review behind an output visible.
Biomed_Advisor does not try to replace scientific workbenches. It curates selected workbenches, models, tools, biomedical content and organisational knowledge around defined evidence-aware workflows.
Biomed_Advisor is used by organizations across the entire life science research ecosystem - from pharmaceutical and biotech companies to academic institutes and university hospitals.
Commercial scope depends on the workflow, users, integrations and deployment requirements. Exact pricing is agreed after the evaluation scope is defined.
A defined workflow, agreed evidence boundaries and a structured review with the customer team.
Selected workflows, users and knowledge sources configured for a research team.
Broader integration, deployment, governance and support requirements.
ScAience is building the governed, model-independent platform that enables research organisations to use AI they can trust across sensitive knowledge, evidence and workflows.
The most common questions from research and IT teams evaluating Biomed_Advisor for biomedical work.
Biomed_Advisor is a biomedical research workspace that brings selected AI models, curated biomedical sources and organisational knowledge into one evidence-aware workflow.
It helps research teams find relevant evidence, examine it in context and prepare structured outputs for expert review.
A general scientific workbench supports broad, open-ended scientific work, usually centred on one provider environment. Biomed_Advisor curates approved models, tools and sources around defined biomedical workflows and applies the ScAience Domain Intelligence Framework.
The result is a structured path from a biomedical research question to a reviewable output rather than a broad productivity tool.
Trials are anchored in concrete biomedical jobs: evidence synthesis, literature analysis, target and mechanism research and scientific document analysis.
Each workflow follows the same Define → Assemble → Examine → Structure → Review path so outputs stay comparable and inspectable.
The product is designed to keep the sources, domain context and human review behind an output visible. Findings can be connected back to the sources used in the workflow, with study context, dates and limitations retained where available.
Subject-matter experts remain responsible for inspecting and refining outputs.
Biomed_Advisor uses selected, approved models and tools within the wider ScAience architecture rather than a single fixed model. Model choice depends on the task and the customer's governance requirements.
Yes. Organisational material can be incorporated according to the configured deployment and access controls, so internal documents and context sit alongside curated biomedical sources within the same workflow.
Managed cloud is available for rapid guided evaluation and product adoption. Private cloud is configured where available and aligned with customer requirements. An on-device option is a longer-term deployment direction for highly sensitive workflows.
Commercial scope depends on the workflow, users, integrations and deployment requirements. Exact pricing is agreed after the evaluation scope is defined, typically starting with a guided trial on one real use case.
Request trial access via the form on this page. A guided evaluation begins with one defined workflow, agreed source boundaries and a clear review of the output with your team.
A guided evaluation starts with one defined workflow and a clear review of the output.