CoSupport AI
What is Abzu QLattice?
The QLattice is Abzu's innovative explainable AI platform designed specifically for pharmaceutical research and development. Founded in 2018 with offices in Copenhagen and Barcelona, the platform stands out for its ability to generate highly accurate models even with limited data sets, while maintaining complete transparency in its decision-making process.
This ISO 27001 certified technology has earned recognition as a Gartner® Cool Vendor for its unique approach to explainable AI. The platform specializes in biomarker identification, RNA therapeutics design, and complex data analysis, bridging the gap between raw data and scientific discoveries in pharmaceutical research.
Features
- Explainable AI: Transparent decision-making process with clear insights
- High Accuracy: Generates precise models even with limited data
- Biomarker Analysis: Identifies and analyzes biological markers
- RNA Therapeutic Design: Supports ASO and siRNA therapeutic development
- ISO 27001 Certified: Ensures security and trustworthy AI implementation
Use Cases
- Biomarker identification in medical research
- RNA therapeutics design and optimization
- Space flight medical research analysis
- Drug design and development
- Disease understanding and analysis
FAQs
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What is the QLattice's main advantage in pharmaceutical research?
The QLattice's main advantage is its ability to provide explainable AI results with high accuracy even with limited data, making it particularly valuable for pharmaceutical research where transparency in decision-making is crucial. -
What types of therapeutic designs does the platform support?
The platform supports the design of ASO (antisense oligonucleotide) and siRNA therapeutics, helping in both active and safe therapeutic design processes. -
What certifications does the QLattice platform have?
The QLattice is ISO 27001 certified for trustworthy AI and has been recognized as a Gartner® Cool Vendor for explainable AI.
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Abzu QLattice Uptime Monitor
Average Uptime
99.65%
Average Response Time
383.33 ms
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