TSAR Labs - Providing True Scientific & Authentic Research
Ending the Research Integrity Crisis
Verifiable Truth in Healthcare Research
A blockchain-powered platform ensuring research integrity, preventing data manipulation,
and making verification seamless.
The Research Integrity Challenge
Only 36% of biomedical research successfully replicates when independently tested.
Source: Ioannidis JPA, JAMA 2018Nearly 50% of clinical trials go unreported or have altered endpoints.
Source: Jones et al., PLOS ONE 2015An estimated $28 billion is wasted annually on irreproducible preclinical research.
Source: Freedman et al., PLOS Biology 2015Why Choose TSAR Labs
Data Integrity
Research shows that tamper-proof data collection can reduce protocol deviations by up to 37%
Source: Wong et al., IEEE 2022Enhanced Credibility
Studies indicate transparent methodologies can increase citation rates by 25-40%
Source: Piwowar et al., PeerJ 2018Privacy & Protection
Our zero-knowledge technology verifies data without exposing sensitive information
Time Efficiency
Automated data capture has been shown to save up to 80% of data entry time
Source: Benchoufi et al., F1000Research 2019How It Works
Connect Your Research Devices
Securely integrate your existing equipment with our platform.
Capture & Verify Data
Automatically record tamper-proof data on our secure blockchain network
Prove Integrity Without Revealing Data
Use zero-knowledge proofs to verify methodology while protecting privacy
Enhance Research Impact
Publish quickly with mathematical proof of data integrity
Our Technology Platform
Smart Contract Blockchain

Energy-efficient digital ledger technology that creates permanent, tamper-proof records
Zero-Knowledge Proofs (ZKP)

Energy-efficient digital ledger technology that creates permanent, tamper-proof records
Zero-Knowledge Machine Learning (ZKML)

Energy-efficient digital ledger technology that creates permanent, tamper-proof records
Direct Device Integration
Automatic data capture from your research equipment to eliminate doubts based on manual errors

Pre-Registration System
Documentation of methodology before data collection to disprove any accusations of p-hacking

Join the Future of Verifiable Research