Connecting the
World's Science
Shwin connects scientific knowledge across healthcare, drug discovery, agriculture, veterinary and environmental science — transforming fragmented evidence into trusted intelligence for researchers, clinicians, governments and innovators.
The Shwin platform is coming to shwin.ai — request early access.
The Scientific Intelligence Engine
One engine, seven layers — it grasps the question, grounds every claim in cited evidence, reasons across domains, and hands you a trusted answer you can build on.
Trusted where being wrong is dangerous
General AI is impressive — and unusable for high-stakes science, because it invents facts exactly where it matters most. Shwin is built the opposite way.
- ✕Hallucinates facts & citations
- ✕Single-domain, siloed
- ✕Static — forgets everything
- ✕Cannot show its evidence
- ✓Evidence-backed, cite-by-index
- ✓Cross-domain connection
- ✓Scientific Memory that compounds
- ✓Verification + confidence + coverage
From a question to trusted intelligence
Powering impact across every domain
The same verified, cross-domain engine powers intelligence for every field — delivered as apps, an API, and a platform others build on.
Biomedical Intelligence
Drug discovery, repurposing, biomarkers and clinical research — grounded in verified evidence.
Healthcare Intelligence
Clinical decision support and a knowledge companion for hospitals and the frontline — a companion, not a replacement; a human always decides.
Agriculture Intelligence
Crop disease, pest and weather reasoning — connecting field, satellite and scientific data.
Veterinary Intelligence
Animal-health diagnosis support and disease surveillance across species.
Environmental Intelligence
Climate, biodiversity, pollution and natural-resource reasoning — the planetary layer.
Government Intelligence
Public-health early-warning, compliance and cross-domain surveillance for populations.
Not a chatbot — intelligence where science happens
The same engine is built to be embedded across every field — in the clinic, on the farm, in the field, in the lab and across populations — powering copilots, diagnostics, digital twins and early-warning systems, not just answers.
Clinical Copilot
Guideline-backed decision support inside the clinician's workflow — options, interactions and contraindications, every suggestion cited. The clinician decides.
Diagnostic Assistant
Reasons over symptoms, labs and imaging notes to rank differential diagnoses — each option carries the evidence behind it.
Patient Digital Twin
A living, evidence-grounded model of an individual — fed by records and wearables to simulate treatment response and flag early deterioration.
Drug Repurposing Engine
Connects targets, pathways and trial evidence across the literature to surface repurposing candidates with graded support.
Crop & Field Digital Twin
A digital twin of the farm — fuses field, satellite and agronomic science to detect disease, forecast yield and guide action.
Veterinary & Herd Health
Species-aware diagnosis support and herd-level surveillance — catching disease spread across animals early.
Climate & Ecosystem Twin
Models ecosystems, pollution and biodiversity — forecasting environmental and natural-resource risk from fused sensor and scientific data.
Bio-Surveillance & Early-Warning
A population-scale twin fusing clinical, environmental and genomic signals to flag emerging outbreaks before they spread.
Research & Lab Copilot
Plans experiments, synthesizes the literature and checks every claim against verified evidence — a copilot for the bench.
Illustrative applications the Shwin engine is designed to power — delivered as apps, an API and a platform others build on. Every output is evidence-backed and a human always decides.
Built for everyone who relies on science
What changes because Shwin exists
We don't measure ourselves in features. We measure the problems that can disappear.
Let's build the future of science
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