How does the typical BioScan AI engagement work?
We begin with a discovery call to understand your lab workflows, then configure our AI models to your data. Next, we run a pilot analysis and review results with your team before full deployment.
How much does it cost to implement BioScan AI?
Pricing is based on data volume and number of lab instruments integrated. We offer flexible subscription tiers to suit both small research labs and large clinical centers.
What makes BioScan AI different from other diagnostic platforms?
Our proprietary neural-network models are trained on diverse genomic datasets, delivering higher sensitivity and specificity. Plus, our seamless instrument integration minimizes setup time.
Can your solution integrate with my existing lab system?
Yes, BioScan AI supports standard data protocols (FASTQ, BAM, CSV) and offers RESTful APIs to connect with LIMS, EMR, or custom software.
How do I know if it’s worth adopting?
We provide performance benchmarks from our pilot study, showing a 50% reduction in analysis time and a 30% increase in detection accuracy. You can run a risk-free trial to evaluate ROI firsthand.
Can you build a completely custom AI solution for my lab?
Absolutely. Our team specializes in bespoke AI development from model training on your proprietary data to custom UI dashboards tailored to your workflows.