PerkinElmer’s Informatics solutions and specialized scientific know-how empower customers to gain critical insights from their data and accelerate informed decisions.
Products & Services
Market-leading informatics technologies and services to help solve complex scientific and business challenges. Learn More
Gain actionable insights by seamlessly integrating predictive models, workflows and real time events all within a single application.
Dramatically reduce time spent on data analysis of High Content & High Throughput Experiments with easy to use, scalable solutions.
Integrate, search, retrieve and analyze relevant experimental and clinical data from across internal and external sources.
Solutions to aggregate, unify, visualize and analyze all your clinical and real-world data during all phases of clinical development.
Industry-leading chemistry productivity tools that foster collaboration within and across organizations.
Capture experimental procedures and results to protect IP and share insights organization-wide.
Optimize laboratory procedures through seamless collection and transfer of data between systems.
Professional Services brings a wealth of in-depth industry experience across life sciences, spanning chemistry and many more domains.
Unify access and connectivity to relevant data sources, both structured and unstructured, with less time preparing data for analysis.
Insights to help begin connecting, visualizing and controlling your data for faster answers, more easily than ever before.
Create a Big Data platform that addresses a multiplicity of problems while enabling innovative scientific research.
Quickly navigate from high-level overview data to specific data points from multiple sources with our Risk-based Monitoring (RBM) solution.
Introducing our new cloud-based Electronic Laboratory Notebook (ELN) solution that powers smarter science through collaboration.
Learn how our strategic business relationships – including with TIBCO Spotfire® – enable a broader set of capabilities to advance our customers’ success.
With our deep understanding of industry requirements, our Informatics solutions are catalysts for innovation. Learn More
Allow students to collaborate and discover in academic environments easily and affordably.
Transform data from the agriculture R&D pipeline into knowledge and understanding.
Test and innovate raw materials and fine chemicals with solutions for next generation requirements.
Streamline clinical candidate analysis, translational medicine initiatives, outcomes research and more.
Improve management and optimization of study activities.
Reduce the time spent bringing quality products to market safely.
Capture a 360ᵒ view of quality control process activities, seeing trends before problems occur.
Advance drug discovery, clinical research and commercial success using smarter science.
Our expertise across key disciplines stems from our commitment to helping scientists gain critical insights faster. Learn More
Improve efficiencies in discovering new therapeutics, launching products and aligning marketing campaigns.
Unify, visualize, contextualize, and operationalize data seamlessly at your fingertips.
Accelerate innovation and increase the speed at which R&D is performed.
Navigate the challenges of efficient data collection, management and integration of complex datasets to screen drug targets.
Out-of-the box support for translational research, without the need for customization.
How Can We Help You?
Transform data into actionable insights in an automated, predictive and scalable way. Our comprehensive suite of scientific solutions from instrument generated data, enterprise platforms and mobile applications provides scientists with the tools to share, unify, visualize and analyze valuable data.
Want a better way to collaborate and uncover unexpected insights from your data?
Ready to analyze multi-source data and perform complex analyses using a simple dashboard?
Having difficulty recording chemical structures, reactions and lab notes for modeling and workflows?
Looking to unify access and connectivity to relevant structured and unstructured data sources?