Arachne.ai
Research intelligence and evidence infrastructure for health and biotech
Arachne turns fragmented literature, data, and domain research into source-linked intelligence and reusable knowledge systems for faster, more traceable decisions.
Built for structured evidence workflows across discovery, research, and applied scientific domains.
A platform first, with focused domain applications
Arachne is a broader research intelligence platform for evidence-led work. Nutraceutical intelligence is one focused application layer, built on the same source-linked, structured research backbone.
Arachne for Nutraceuticals
A focused application of the broader Arachne platform, helping nutraceutical product, regulatory, and commercial teams substantiate claims, assess evidence, benchmark competitors, and sharpen positioning.
Core capabilities
Structured research backbones
Build source-linked research foundations from literature, structured databases, and domain datasets - creating a reusable knowledge backbone for evidence-led work.
Evidence review and synthesis
Gather, assess, and structure evidence across papers, datasets, and domain sources with traceability and provenance built in from the start.
Strategic research and positioning intelligence
Apply structured research systems to map competitors, scientific landscapes, product strategies, and market narratives - identifying where evidence, differentiation, and opportunity are strongest.
Who Arachne serves
Biotech & techbio research teams
Support discovery research, target assessment, and research prioritisation with structured evidence workflows and reusable knowledge systems.
Nutraceutical product & commercial teams
Substantiate claims, assess supporting evidence, benchmark competitors, and sharpen product and market positioning.
Specialist teams in evidence-heavy domains
Bring structure, provenance, and decision-readiness to complex technical, regulatory, and research workflows.
Designed for rigorous research
Source-linked and traceable by design
Structured outputs designed for reuse
Built for scientific, technical, and commercial research contexts
Designed for evidence-centric work synthesising misaligned information
Technical foundations
Arachne combines structured databases, ontologies, literature pipelines, retrieval-augmented generation, knowledge graphs, and multi-step research workflows to build source-linked knowledge systems for science-led teams.
Biotech-rooted, vertically applied
Arachne’s foundations are rooted in biotech research workflows, with relevance across pharmaceutical, clinical, and other evidence-led settings. The same foundation also extends to nutraceuticals, where scientific evidence is combined with market data for claims, positioning, and competitive analysis.
Explore Nutraceutical Intelligence
See how Arachne applies structured, source-linked research workflows in nutraceuticals, or get in touch to discuss biotech, pharmaceutical and other evidence-led applications.