Scale Diagnostics Workflows on the Cloud

Run production-ready diagnostics pipelines, at scale, on Polly’s cloud environment.

Problem

Rudimentary Infrastructure limits scale & commercial growth

Early-stage diagnostics teams often struggle to scale scientifically validated pipelines into commercially viable diagnostic tests. This transition demands robust infrastructure to handle high throughput, sudden volume surges, and cost efficiency—critical for driving growth and market success.

01

Transitioning from scientifically validated pipelines to scalable diagnostic tests is challenging, especially when workflows aren’t designed for high throughput or unpredictable sample volumes.

02

Processing costs can skyrocket without optimized workflows, hindering commercial growth and making it difficult to maintain competitive pricing.

03

Rudimentary or rigid systems struggle to adapt to sudden spikes in demand, leading to delays, inefficiencies, and operational bottlenecks.

We build production-ready diagnostic workflows with Polly, our scalable cloud platform

Migrate from Local to the Cloud

Transition assays from local systems to Polly’s cloud. Upload, run & monitor diagnostic workflows with a performant UI or code.

Automate Sample Ingestion

Connect to sequencing facilities, Basespace, AWS, GCP, and Azure for streamlined sample ingestion and eliminate manual data handling.

Flexible Workflow Upload

Upload workflows in any language like Snakemake or Nextflow to Polly, ensuring easy integration and adaptability.

Reliable Infrastructure

Ensure stable assay execution with Polly's dependable infrastructure, minimizing run time errors and maximizing productivity.

Scale Resources on Demand

Polly dynamically scales compute resources in response to varying data volumes and pipeline complexities, ensuring optimal performance while minimizing costs.

Parallel Processing Power

Harness the power of parallel processing using Nextflow, reducing run time and cost per sample.

Customized Resource Allocation

Define CPU and memory resources precisely suited to your processing requirements.

Optimized Storage

Store intermediate files, processed samples, and final reports directly on Polly. Say goodbye to unnecessary storage and data transfer costs associated with rudimentary cloud/local setup.

Deploy to Your Cloud or In-house Servers

Take control of your diagnostics environment with Polly's flexible deployment options.

Personalized Deployment

Deploy diagnostics workflows to your personal VPC, with compatibility across leading cloud providers like GCP, AWS, Azure, and more.

Granular Access Control

Give managers control and users the appropriate level of access they need with role-based access control. Minimize vulnerabilities & data breaches with customizable policies.

Robust Security

Polly ensures enterprise-grade security by preventing unauthorized access to your assets, cloud encryption of data (storage & in-transit), frequent security audits & patches.

Expert Services to Optimize & Scale

Leverage our expertise to construct tailored diagnostics workflows unique to your research problem.

Pipeline Code Optimization

Fine-tune your pipeline code to run at scale with faster turnaround times and at low costs.

Maintenance

From bug fixes, security updates to machine configurations, leave routine maintenance to our engineers.

Web-app Hosting

Visualize and analyze assay reports with customized web apps built and deployed on Polly.

Why Choose Elucidata?

Reduce Cost per Sample

Enjoy at least 50% lower cost/ sample, regardless of high throughput or increased pipeline complexity. Meet compute heavy demands without cost and scale constraints.

Fast-track Processing Run Time

Accelerate your workflows, from samples to reports in record time. Polly reduces processing run time by 50% in comparison to typical in-house servers.

Get to Market Faster

Scale operations to new geographies and markets 3x faster with Polly. Ensure your diagnostic pipelines are production-ready and run reliably for your partners with 0 run-time errors.

Trusted by the World's Leading Biopharma Players

Case study

100% Automation and ~$1.34M Savings in Single-cell Data Ops

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