A framework to deploy transparent AI, as featured in
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We support every AI stakeholder - from researchers to data scientists - with an AI framework for faster, more effective research or production.
Gone are the days of exporting data to third-party analytics companies! Instantaneous in-house AI model training and analysis for in-line monitoring.
Your data, Your algorithms: You train your own AI models with your proprietary data.
Apply your models across your specific unit operations, no strings attached.
Designed for compliance, the software framework aligns with ISO standards for AI-based systems, risk assessment, and quality management.
Modicus Prime’s AI software provides a GxP-compatible framework for training and deploying AI models in biologics. Our proprietary software enables AI stakeholders, from domain experts to data scientists, to train and/or deploy their in-house AI to achieve real-time AI analysis of any input data - from biologic morphology analysis to commercial contamination detection - for comprehensive quality control across R&D and manufacturing.
Reduce data processing time currently on weekly timescale.
Increase efficiency and value of current data processing pipeline.
Increase process understanding and contaminant identification.
Maximize data insights for risk reduction.
Fast product understanding requires even faster data analysis. Our in-line software continuously processes data streams with configured alert systems.
For those who operate under the eye of regulatory bodies, our AI software provides you with comprehensive records for full compliance and investigation inquiries.
Eliminate the pressure of monitoring for contaminations or critical quality failures. Embrace high-throughput AI solutions to deliver faster, more comprehensive results to isolate quality concerns.
Reduce costs by up to 50-60x in continuous processing with our AI software based on our current client analysis. Eliminate contaminations from products before they are distributed.
Our end users are provided with complete resources to perform AI analysis in-house. There are no AI literacy prerequisites for our broad range of end users, which includes protein scientists and SMEs.
Eliminate time-consuming, redundant data curation and calibration in both the lab and on the production floor so time can be reallocated to value-adding tasks.
Introduce mpVision to client and agree upon AI analysis performance criteria. To demonstrate the software's performance capacity in desired unit operations, we initially turn around an AI model using mpVision on the client's in-house data free of charge.
Hold mpVision training sessions for end users and provide training wikis and requested supplementary documents. For up to 2 months, end users test mpVision in their specific use cases to validate software infrastructure, functionality, and desired usability.
Self-Service AI production environment made available to all end users with an annual license. License is priced per site and according to GxP environment in which deployed AI models are monitored. Provide end users with continuous tech support.
