THE
BETTER PARADIGM FOR PHARMA
PHARMA URGENTLY
NEEDS THE PERFECT THREAD
OF DATA, AI, AND PROCESS.
The ever-increasing data, changing regulation landscape, new standards, and AI foretell a paradigm shift for pharma and medical devices.
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To take advantage of these burgeoning opportunities, we created Biomatica by combining 'national intelligence' grade AI with adaptative manufacturing.
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Biomatica intelligent Digital Thread stitches data across all functions to create digital continuity, enable AI, and provide trust.
We accelerate drug development, generate new knowledge, optimize tech transfer, and enable trustable AI.
EXAMPLE USES
01.
AI based lifecycle tool for medical manufacturing.
02.
Thread in data from previous trials, discover issues sooner.
03.
eCTD generation and collaborative review.
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Reduce technology transfer time between all parties.
05.
Improve compliance using granular digital provenance.
06.
Improved Population Pharmacokinetic analysis.
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Gap analysis - wide AI survey of literature and data.
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Threaded data, accretive AI, and trust drive multiple uses.
DIGITAL CONTINUITY
Enterprise continuity in highly matrixed environments.
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Pharma R&D is conducted by many partners over many years. Rich manufacturing and operational data are generated all over the globe. Data generated by external parties is increasingly relevant to the internal needs. Acquisitions and partnerships lead to redundant actions. These industry constraints have created a situation where Pharma has constantly been behind the curve on data utilization.
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Biomatica threads Pharma Data, AI, and processes in a perfect symphony.
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We simplify Pharma data and AI with a shift in viewpoint. Pharmaceutical data and processes are inexorably linked. This leads us to a critical insight... ​Pharma data, AI, and use cases exist on the wheel of Pharma processes. Thus, they can be organized on an Adaptive Manufacturing 'conveyor belt'.
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This vision is achieved by the Biomatica Digital Thread. Adaptative manufacturing for data yields transformative advantages for Pharma.
BIOMATICA IN OPERATION
Biomatica enhances production efficiency, throughput, and collaboration as production scales and evolves.​
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Biomatica provides unparalleled visibility into the decisions and adjustments that take place in drug development. It standardizes and fuses data, accumulating product and process knowledge.
Biomatica enriches the data, linking it to relevant data both internal / external to the organization, filling in missing pieces, and creating supplemental insights throughout the manufacturing chain.
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Biomatica is a complete AI based lifecycle tool for medical manufacturing
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Digital Thread's deep standardization and assimilation enables seamless interoperation among multiple parties. Biomatica facilitates technology transfer between smaller innovators, big-pharma licensors, and external contract manufacturers. In fact, Biomatica can also allow collaborative review, reducing approval times.​
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Biomatica reduces errors, finds root causes, increases success.
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Biomatica tracks contextual information around data. It can discover previous related attempts at processes, stages, operations, or actions. Biomatica can even mine temporal patterns across related studies. This allows faster, and sometimes even automated, discovery. Biomatica can utilize and extend existing models and ontologies. Inbuilt AI simplifies the capture and curation of context.
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Trace data through every stage of its lifecycle
Biomatica Digital Thread provides fine-grained provenance around each datum and each insight. Like an assembly line, it is possible to pick up a data product and look at its sources, its bill of materials, its design, and its manufacturing steps in full detail. Example.
For example, assume a sensor collects some data. Biomatica records the precision, accuracy, and other metadata of that sensor along with the data. This quantifies the data's reliability at origin. Similar pedigree quantificiation As this data goes through ETL, recipes, and other processes, Biomatica tracks its movement through the system at every step. When AI is applied to the data, Biomatica quantifies the error introduced by it. Thus, the final AI insight accurately reflects the combined error of the data, processing, and AI. The insight can be traced to all originating data and along all intermediate steps. Over time, this fine grained traceability improves the reliability of the system.
Biomatica extends (and corrects) open Provenance standards and implements them efficiently.
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