Custom AI Image Analysis, Built on Your Data
When off-the-shelf tools can’t handle your assay, we build, train, and deploy a model that does. Trained on your images. Validated against your standards. Delivered into a workflow your team can actually use.
The problem
Why generic AI tools fall short
Most cell biology assays don’t fit a pre-trained model. Hiring an internal team isn’t realistic for most labs. There’s a third option.
- Off-the-shelf AI
- Trained on generic datasets, fails on rare phenotypes
- Can't handle custom stains or proprietary assays
- Results you can't trust to publish or submit
- Internal AI Team
- $600K+/year in salaries before infrastructure
- 12-18 months to ship a working model
- Hiring scientists who can also do ML is hard
SnapCyte
- Custom AI, on demand
- Trained on your data, validated on your standards
- First results in 6-8 weeks, 20-40% the cost
- Flexible deployment. Use within SnapCyte or own the model outright
How it Works
From problem to working model
Scope
Send sample images and describe what you want to measure. We assess feasibility and define success metrics. No charge.
Week 1
Data & annotation
We assess your dataset, fill gaps, and handle expert annotation. Our annotators are scientists, not contractors.
Week 2-8
Train & validate
We train iteratively against agreed accuracy targets. You see performance on your data at every checkpoint.
Week 4-10
Deploy your way
Hosted on SnapCyte, integrated into your pipeline via API, or fully handed off , we deploy however fits your team and existing workflows.
Week 10+
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.
Case study
How Zymeworks Automated Spheroid Segmentation and Viability Readouts for their ADC team with SnapCyte in 10 weeks.
Why SnapCyte?
Scientists who do AI, not the other way around
Built by scientists
Biologists and ML engineers in the same room. Fewer translation errors, faster iteration on what matters scientifically.
Messy data is fine
Variable staining, inconsistent imaging, partial datasets, that’s what we train on, because that’s what your team generates.
Flexible deployment
SnapCyte platform, API integration, or full handoff. We integrate where your team works.
Transparent proces
You see model performance at every checkpoint, not just at delivery. No black boxes.
Fast to first results
Most projects deliver usable results in 6–8 weeks. Not quarters.
Scoping is free
Send us sample images. We’ll assess feasibility and scope the project at no charge.
Have a dataset and an imaging problem?
Send us sample images. We'll tell you within a week whether AI can solve it , at no charge.
Frequently asked questions
How does SnapCyte work with clients to develop custom AI models?
Our process begins with scoping to understand your research needs and 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.
resources
Latest insight and updates
- Blog Post
Adherent Cell Count: More Than Just a Number
- Nader Al Nakouzi
- Blog Post
Cell Counting in Cell Culture: How to Reduce Variability
- Nader Al Nakouzi
- Case Study
How Zymeworks Automated Spheroid Segmentation and Viability Readouts with SnapCyte
- SnapCyte
