Your Data, Your Model, Our Expertise
Whether it’s complex tissue models, complex morphologies, or high throughput assay,we build custom AI models trained on your specific data. From annotation to deployment, we handle the full pipeline so you can focus on your research.
What We Offer
We Manage the Full Pipeline
Define & Scope
We define the biological question, success metrics, and the simplest path to reliable results.
Data & Annotation
We assess data needs and handle curation, and expert annotation if required.
Train & Validate
We train, iterate, and validate models against agreed accuracy and reproducibility targets.
Deploy & Scale
We deploy the model into a usable workflow and support integration and scale.
Cost Effective
The Same Outcome. A Fraction of the Cost.
The typical cost of assembling an internal AI team exceeds $600,000+ per year in salaries alone—not including benefits, infrastructure, and training time.
With SnapCyte, you get access to a complete AI engineering team at a fraction (20-40%) of the cost, with no long-term commitments and faster time to results.
How it Works
From Question to Custom AI Solution
Start with your question
You share sample images or data and what you want to measure, even if the dataset is partial.
Assess Feasibility
We assess feasibility, present optimal analysis strategy, limitations, and resources needed.
Data & Model Preparation
We prepare data sets by cleaning, annotating, augmenting and etc to support robust model development.
Train, Validate, and Deploy
We train and iteratively refine the model, validate performance, and deploy it into a reliable, ready-to-use platform.
Ready to Build Your Custom Solution?
Contact us today to discuss your dataset, imaging goals, or bottlenecks. We’ll help you find the right AI solution—custom model, service-based, or hybrid.
Case studies
SnapCyte™ integration has significantly enhanced the precision and efficiency of our invasion assays, providing a solid answer compared to our previous data analysis challenge.
Frequently asked questions
How does SnapCyte work with clients to develop custom AI models?
Our process begins with a consultation to understand your research needs and microscopy challenges. We then design and train AI models using curated datasets tailored to your requirements, ensuring precision and relevance to your workflows.
What is SnapCyte’s approach to data management and scalability?
We use MLOps-driven infrastructure to organize and manage your data pipelines. This includes versioning, feedback loops, and scalability to ensure your AI models remain reproducible and adaptable as your research evolves.
How long does it take to develop and implement a custom solution?
Timelines vary depending on the complexity of your project. However, our agile approach allows us to deliver initial results quickly, typically within weeks, while continuing to refine models based on your feedback.
What happens after a solution is delivered?
We provide ongoing support to ensure seamless integration into your workflows. This includes user training, regular updates, and optional enhancements to your AI models as your research progresses
Can SnapCyte help identify the right AI solution for my research?
Absolutely. Our team of experts collaborates with you to assess your challenges and recommend solutions that best fit your microscopy data and research needs.
Do I need specialized hardware to use SnapCyte models?
Not necessarily. Our solutions are designed to integrate with your setup and workflow. We can provide recommendations if needed to optimize your imaging workflows or systems.
