ENPICOMPipeline automation
Unlocking speed and precision in data analysis
Building machine learning models that truly improve biologics discovery and development doesn’t’ happen overnight. It requires a thoughtful, strategic approach where all components facilitate AI integration. The foundation relies on a robust and well-organized data infrastructure, which is essential for efficiently training models with all relevant information and for seamless deployment of those models once proven effective. Whether it is built on databases or data lakes, this infrastructure depends heavily on continuous and reliable data streams; much like a lake’s flow depends on its tributaries. These streams originate from lab scientists who generate data during active research campaigns.
To ensure this data flows smoothly into the system, scientists need user-friendly analysis tools that integrate effortlessly into their workflows without causing delays. Any gaps or inefficiencies in data processing can lead to fragmentation, jeopardizing the success of AI initiatives. Therefore, having well-defined data analysis protocols and adaptable tools that unify and streamline data consolidation is critical to enable cross-functional collaboration, eliminate data silos, and ensure effective AI adoption. Achieving this requires a scalable, reliable pipeline orchestration system that can manage and integrate the various data streams and processes. Effective pipeline consolidation is the key to unlocking AI’s transformative power in drug development.
Automate scientific workflows at scale
Automation
Streamline your analysis with automated pipelines that minimize manual work and reduce the risk of human error.
- Eliminate the need for tedious manual data transcription, review, and verification.
- Efficiently process complex datasets and unlock insights faster.
- Ensure speed and flexibility: explore results, run case-specific analyses, and adapt workflows as your research evolves.
Standardization
Ensure consistent data processing across teams, making all generated data AI-ready.
- Adjust your analysis pipeline to your wet-lab platform and SOP to ensure the best results.
- Minimize analysis choices based on internal standards and benchmarks.
- Standardize pipelines across teams to eliminate variability and ensure high-quality, consistent results.
- Automatically capture and enrich essential scientific metadata for better searchability, traceability, and analysis.
Integration
Effortlessly consolidate research data from multiple sources for streamlined analysis and AI adoption.
- Ensure data streams flow uninterrupted to the right places, eliminating silos and enabling smooth collaboration across research teams.
- Automate the collection of data from LIMS, ELNs, cloud storage, and bioinformatics tools, analysis software, and partners.
- Easily apply the latest models and algorithms in your analysis pipelines.
- Have all available information at your fingertips throughout your discovery and engineering campaigns.
Speed
Accelerate your workflows with fast deployment and minimal disruption.
- Implement automated pipelines in months, not years, to accelerate discovery
- Avoid the time-consuming task of building and maintaining custom automation systems.
- Easily scale solutions as your data needs grow, ensuring long-term efficiency.
Flexible options for pipeline automation
Together with your team, we define the most effective approach to pipeline automation, that prioritizes seamless integration and full adaptability as your needs evolve.
- ENPICOM pipeline. A fully optimized bioinformatics pipeline built with ENPICOM’s cutting-edge tools and models.
- Mix-and-match pipeline. A hybrid approach integrating your tools with ENPICOM’s bioinformatics solutions.
- Your pipeline. A pipeline where your own bioinformatics tools are automated and optimized.
Powerful biologics discovery tooling
Whether you choose to use our tools for pipeline automation or manual data processing in the lab scientist interface, partners integrating ENPICOM’s solutions benefit from cutting-edge tools and models that are tailored to support researchers in efficiently analyzing, selecting, and optimizing lead candidates.
Trusted by industry leaders
Transform your research with seamless data integration and reproducible workflows
Contact us for a personalized demo or consultation.