Siensmetrica offers Tessa, an AI‑driven platform that mines, analyzes, and scores scientific research to surface the most reliable and relevant findings within minutes. By combining multi‑vector content analysis with advanced data science, Tessa helps healthcare professionals quickly filter out low‑quality studies and make evidence‑based decisions, reducing months of manual review to a streamlined workflow.
Funding
Funding not disclosed
Founders
Product
Problem
Healthcare professionals must stay current with an ever‑growing volume of scientific literature, but traditional manual review is time‑consuming and often unable to distinguish high‑quality, peer‑reviewed findings from lower‑quality studies.
Solution
Tessa is an AI‑driven platform that continuously mines the scientific literature, extracts key information, and scores each study for reliability and relevance. By applying multi‑vector content analysis and advanced machine learning, Tessa filters out low‑quality research and surfaces the most trustworthy, peer‑reviewed results within minutes. The platform presents concise, evidence‑based summaries that enable clinicians, researchers, and other healthcare professionals to make informed decisions quickly, without the overhead of manual literature review.
Target Audience
Primary users are physicians, clinical researchers, and other healthcare professionals who need rapid, reliable evidence to support patient care and research decisions.
Features
- Automated crawling of new publications across multiple databases to ensure up‑to‑date coverage
- Multi‑vector analysis that evaluates methodology, citation patterns, journal impact, and peer‑review status
- Machine‑learning scoring system that ranks studies by trustworthiness and relevance to the user’s query
- Instant, concise summaries highlighting key findings, limitations, and clinical implications
- Search interface optimized for healthcare professionals with filters for study type, population, and outcome measures