In an era of generative hallucinations and opaque black boxes, DoneSCI is engineered around verified provenance, local data sovereignty, and publication-grade human-in-the-loop workflows.
Scientific discovery rests entirely on falsifiable facts, auditable data, and reproducible experiments. Generic AI speculation and synthetic citations are not acceleration—they are catastrophic contamination.
DoneSCI is not another generic chat wrapper. It is a purpose-built operating system for the biomedical research lifecycle: anchoring claims in authentic registries, confining unreleased data to client sandboxes, and delivering figures as editable vector layers.
Bridging the scientific rigor gap that generic generative models cannot solve.
Generic AI hallucinates convincing citations, non-existent DOIs, and distorted evidence, undermining academic credibility.
Direct integration with PubMed, Europe PMC, and ClinicalTrials.gov. Every reference resolves to genuine registries.
Uploading unreleased experiment CSVs and raw spreadsheets to cloud models risks data leakage and IP forfeiture.
Experiment profiling executes client-side inside WebAssembly/Worker sandboxes. Raw rows never touch external servers.
Generating low-resolution raster images that cannot be adjusted when peer reviewers request modifications.
Native Draw.io vector layering with full object manipulation and 300+ DPI export compliant with CNS journal standards.
Shuffling data between registries, spreadsheets, drawing apps, and word processors destroys context continuity.
Evidence feeds directly into structured outlines; local analysis translates seamlessly into mechanism figure drafting.
Truth is the only currency in science. In DoneSCI, synthetic literature does not exist. All records preserve immutable identifiers and direct links to primary repositories.
Unpublished data is sacred intellectual property. Heavy statistical profiling runs quietly in your browser sandbox, never used as training fodder for public foundation models.
AI must serve as a precision instrument for the scientific artisan, not an autonomous black box. The researcher retains complete editability over every figure layer and paragraph.
Discovery has no national boundaries. We provide seamless cross-lingual scholarly tracking and writing support, helping international researchers communicate breakthrough ideas.
Built on globally verified biomedical registries and hardened client-side sandboxes.
35M+ biomedical citations & abstracts
Open access full texts & life sciences preprint data
Global scholarly knowledge graph & citations
Official registry for worldwide clinical studies
Official federal funding opportunities & awards
Zero-upload local experiment compute engine
From clinical trials to molecular biology, empowering research institutions worldwide.
Monitor global pipeline intelligence across ClinicalTrials.gov, evaluate endpoints, and inform trial design.
Process omics and experiment CSV data locally, generating publication-grade signaling pathways and graphical abstracts.
Overcome language barriers and citation friction to produce rigorous, evidence-backed dissertations and grant proposals.
Scientific discovery has no borders. DoneSCI supports five interface languages and discipline-aware terminology so researchers can work in the language they understand best.
DoneSCI is engineered specifically for rigorous scientific workflows. Key data is grounded in verified sources (PubMed, ClinicalTrials.gov, Grants.gov), experiment data remains client-side without row uploading, figures are exportable as lossless editable vectors, and writing is strictly conditioned on authentic DOI/PMID references rather than generic generative text.
CSV experiment profiling and descriptive statistics are performed entirely within client-side browser sandboxes. Optional AI interpretations consume only aggregated moments and hypothesis context—raw row data is never uploaded, safeguarding confidentiality before publication.
Researchers retain 100% full intellectual property and copyright for all generated vectors, charts, and manuscripts. Figures are exported in open Draw.io/SVG/PNG formats suitable for journal submission with full author attribution.
We partner with academic institutions, principal investigators, and libraries for compute quota allocation, specialized knowledge modules, and private sandbox deployments. Contact [email protected] for collaboration.
Whether you are a lab PI exploring team adoption or an investigator with workflow requirements, our research engineering team is ready to connect.