Case Study

CytoWhiz.ai

Harnessing Artificial Intelligence and Machine Learning to Transform High-Dimensional Research Data into Actionable Insights.

CytoWhiz.ai is an advanced research platform supporting scientists working with high-dimensional biological data, particularly in areas like flow cytometry and biomedical experimentation.

Researchers face challenges such as overparameterized experimental designs, inconsistent data normalization, and highly complex visualizations, all of which can obscure insights and increase the risk of misinterpretation. CytoWhiz.ai partnered with Symphonize to build a data processing and visualization engine rooted in AI and machine learning, helping researchers reduce dimensionality, improve interpretability, and extract valid conclusions faster.

Our Solution: A Responsive, Personalized, and Inclusive Website

Symphonize applied cutting-edge AI/ML techniques to refine and transform CytoWhiz’s approach to high-dimensional data. Our methodology empowers researchers to focus on relevant variables, standardize datasets for consistency, and generate meaningful visual representations of complex data — all in a user-friendly interface.
Preliminary Gating Algorithms: Built intelligent preprocessing pipelines that eliminate irrelevant or redundant markers, increasing data quality and reducing the noise that can derail analysis.
Advanced Normalization Techniques: Applied Gaussian and FDA-based normalization to ensure parameter consistency across samples, minimizing variability and improving cross-experiment comparability.
Downsampling for Scalability: Enabled researchers to reduce large datasets to manageable sizes without losing statistical fidelity, accelerating processing and improving system performance.
Dimensionality Reduction via UMAP: Uniform Manifold Approximation and Projection (UMAP) to help researchers focus on the most impactful variables, improving the clarity of downstream analysis.
Visualization with t-SNE: Enabled real-time visualizations using t-Distributed Stochastic Neighbor Embedding (t-SNE), allowing researchers to explore high-dimensional data in intuitive 2D and 3D formats.

AI-Driven Data Preprocessing & Gating

Automatically filters out irrelevant markers, reducing experimental noise and allowing researchers to focus on meaningful biological signals.

Robust Normalization & Downsampling

Delivers consistent, standardized datasets with reduced processing loads, supporting more accurate and efficient analysis across studies.

Insightful Dimensionality Reduction & Visualization

PCA and t-SNE tools reveal data structure and relationships in an interpretable format, enabling scientists to uncover trends, clusters, and outliers at a glance.

A Research Platform That Accelerates Discovery and Reduces Noise

Through its collaboration with Symphonize, CytoWhiz.ai now offers researchers a powerful platform that simplifies the complexities of high-dimensional data analysis.

The AI-enhanced toolset has allowed scientists to clean, normalize, and visualize their data with greater precision and speed, reducing missteps in experimental interpretation and paving the way for more confident conclusions.

By blending scientific rigor with machine learning intelligence, CytoWhiz is reshaping how complex biological data is explored — empowering researchers to move from data chaos to scientific clarity.
Workflow Automation
Interactive Visualizations
Real-time Analysis

We deliver solutions to:

Patricia Campbell, Chief Operating Officer.
Christian Financial Credit Union
"The Symphonize team is amazing! Their ideas and designs for our website are truly exceptional, and they consistently follow through on delivery. With their flexible, collaborative approach, they are a pleasure to work with, and we just love the end result."
Sean Johnston, Senior Vice President - Operations and Technology.
Huntington National Bank
"The Symphonize team makes it so much easier! They can see through the complexity and the outliers to pull together an elegant solution that makes a complex product more intuitive. The team is always great to work with, challenging us when needed and helping us see beyond our requirements. We’ve been thrilled with the results so far and look forward to what the future will bring."
Ed Rose, CEO.
Paqqets
"Symphonize brings the expertise we need to make good decisions and stay calibrated. Our teams work together seamlessly. If you sat in on a working session, it would be hard to tell the Symphonize folks from my team. They have a seat at the table for every important decision."
David Jones, CIO.
Meridian Medical Management
"Symphonize is a one-stop shop that supports us at every stage: from whiteboarding to architecture to development to implementation. They know what the market is doing and reliably guide us to next generation technologies that will put us ahead of our competition."
Fady Zoweil, VP of Professional Services.
Thales Group
"The Symphonize Solution Architects and development team are excellent. We can assign tough tasks and know they will do them right without creating complexity or delays. I trust Symphonize to deliver on our commitment and achieve our customer’s goals because they've been doing it for 8 years now."
Terry Leahy, CEO.
Meridian Medical Management
"We have been successfully partnering with Symphonize for many years on a broad variety of technologies and product roadmaps. From Big Data analytics product development to rapid development and deployment of RPA, Symphonize has been our key strategic relationship. Their team functions seamlessly as an extension of our product management teams, which has enabled us to dramatically increase release velocity and quality simultaneously."
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