We operate a science-first approach to data engineering for R&D-IT in pharma. Our domain experts and experienced engineers deliver a focused, end-to-end service catalog.
We interface science and technology to support your entire digital journey from strategy definition, through delivery, to ongoing support. Our services include:
Before taking advantage of data science and analytics applications, the data must be in the best possible condition. We provide data modeling services that help optimize subsequent activities. We fulfill data wrangling, transformation, management, and enrichment requirements, and offer graph data storage, semantic enrichment, and deployment services as required.
High-throughput screening in research, LIMS instrument integration in product development, and many other processes can benefit from the significant efficiency gains provided by automation. We customize automation solutions to your requirements, using the best tools to maximize time savings and efficiency.
Like process automation, high-traffic workflows have much to gain from orchestration. R&D experimentation, scientific benchmark data ingestion, large-scale omics data analysis, and data provenance reviews are optimized by effective workflow orchestration. We have substantial experience using open-source and licensed software platforms to build orchestrations that fit seamlessly with your workflow to provide the workflow advantages you’re looking for.
IT departments ensure enterprise applications and systems remain operational under all circumstances. They must also act fast to support end users with service requests and intermittent issues. We have a proven track record of providing scale, quality, process, and application support to reduce the burden on your internal teams. Our support can have a measurable impact on end-user efficiency, satisfaction, and reduced application downtime.
