Use Case
Compound and target discovery
Combine AI + human expertise to identify novel biology, targets, and drugs
Compound and target discovery
Combine AI + human expertise to identify novel biology, targets, and drugs
Compound and target discovery
Combine AI + human expertise to identify novel biology, targets, and drugs
Compound and target discovery
Combine AI + human expertise to identify novel biology, targets, and drugs
Human expertise coupled with unbiased AI
Narrow down candidates in drug screens using a powerful combination of your scientists' expertise and unbiased AI features
Find similarities and differences in compounds and targets
Unbiased phenotypic clustering brings AI's superhuman ability to detect similarities and differences in compounds to your scientists' fingertips
Find novel single-cell biology hiding in your data
Surface known and unknown single-cell phenotypes that point towards novel targets and compound hits
Find similarities and differences between many compounds
With our phenotypic clustering technology, scientists can quickly discover the conditions or drugs that are most similar to each other, most dissimilar, and what's biologically driving these similarities or differences — all with an unbiased computational approach. Cluster your well-level and single-cell phenotypes in an unbiased manner to identify and rank novel targets or compounds in a screen.
Find similarities and differences between many compounds
With our phenotypic clustering technology, scientists can quickly discover the conditions or drugs that are most similar to each other, most dissimilar, and what's biologically driving these similarities or differences — all with an unbiased computational approach. Cluster your well-level and single-cell phenotypes in an unbiased manner to identify and rank novel targets or compounds in a screen.
Find similarities and differences between many compounds
With our phenotypic clustering technology, scientists can quickly discover the conditions or drugs that are most similar to each other, most dissimilar, and what's biologically driving these similarities or differences — all with an unbiased computational approach. Cluster your well-level and single-cell phenotypes in an unbiased manner to identify and rank novel targets or compounds in a screen.
Find similarities and differences between many compounds
With our phenotypic clustering technology, scientists can quickly discover the conditions or drugs that are most similar to each other, most dissimilar, and what's biologically driving these similarities or differences — all with an unbiased computational approach. Cluster your well-level and single-cell phenotypes in an unbiased manner to identify and rank novel targets or compounds in a screen.
Combine imaging with other data modalities in one screen
The Spring Engine combines imaging quantifications with any additional data type you choose to upload for your therapeutic campaign, all in one platform. Combine experimental modalities into a single screen based on your experimental needs for a powerful novel compound discovery tool, such as this example on the right that couples high-content imaging readouts with secreted protein profiles to create a multi-modality ranking of a high-throughput drug screen for immune modulators.
Combine imaging with other data modalities in one screen
The Spring Engine combines imaging quantifications with any additional data type you choose to upload for your therapeutic campaign, all in one platform. Combine experimental modalities into a single screen based on your experimental needs for a powerful novel compound discovery tool, such as this example on the right that couples high-content imaging readouts with secreted protein profiles to create a multi-modality ranking of a high-throughput drug screen for immune modulators.
Combine imaging with other data modalities in one screen
The Spring Engine combines imaging quantifications with any additional data type you choose to upload for your therapeutic campaign, all in one platform. Combine experimental modalities into a single screen based on your experimental needs for a powerful novel compound discovery tool, such as this example on the right that couples high-content imaging readouts with secreted protein profiles to create a multi-modality ranking of a high-throughput drug screen for immune modulators.
Combine imaging with other data modalities in one screen
The Spring Engine combines imaging quantifications with any additional data type you choose to upload for your therapeutic campaign, all in one platform. Combine experimental modalities into a single screen based on your experimental needs for a powerful novel compound discovery tool, such as this example on the right that couples high-content imaging readouts with secreted protein profiles to create a multi-modality ranking of a high-throughput drug screen for immune modulators.
Uncover novel and interpretable cell phenotypes behind hits
Visually clustering phenotypes of cellular images and helping scientists easily explore single-cell examples from each cluster makes for a powerful discovery *and* interpretability tool. With this technology, scientists are able to quickly form hypotheses about novel targets and compounds by identifying the most-differentiated cell phenotypes and interrogating how they change across screening conditions.
Uncover novel and interpretable cell phenotypes behind hits
Visually clustering phenotypes of cellular images and helping scientists easily explore single-cell examples from each cluster makes for a powerful discovery *and* interpretability tool. With this technology, scientists are able to quickly form hypotheses about novel targets and compounds by identifying the most-differentiated cell phenotypes and interrogating how they change across screening conditions.
Uncover novel and interpretable cell phenotypes behind hits
Visually clustering phenotypes of cellular images and helping scientists easily explore single-cell examples from each cluster makes for a powerful discovery *and* interpretability tool. With this technology, scientists are able to quickly form hypotheses about novel targets and compounds by identifying the most-differentiated cell phenotypes and interrogating how they change across screening conditions.
Uncover novel and interpretable cell phenotypes behind hits
Visually clustering phenotypes of cellular images and helping scientists easily explore single-cell examples from each cluster makes for a powerful discovery *and* interpretability tool. With this technology, scientists are able to quickly form hypotheses about novel targets and compounds by identifying the most-differentiated cell phenotypes and interrogating how they change across screening conditions.
See it in action
“This could dramatically change the field of adjuvant discovery.”
— LEADING RESEARCHER, STANFORD UNIVERSITY
“This could dramatically change the field of adjuvant discovery.”
— LEADING RESEARCHER, STANFORD UNIVERSITY
“This could dramatically change the field of adjuvant discovery.”
— LEADING RESEARCHER, STANFORD UNIVERSITY
See what happens when scientists use Spring
Ready to get started?
Try out our tools with your existing workflow, or we can create a custom experience for you.
For industry
Spring tools are licensed by pharma, biotechs, startups, and research groups of all kinds.
For academics
We make it easy for academic research groups and non-profits to try Spring's tools.
For educators
Educators are invited to use Spring in the classroom and with their research students.
Ready to get started?
Try out our tools with your existing workflow, or we can create a custom experience for you.
Ready to get started?
Try out our tools with your existing workflow, or we can create a custom experience for you.
Ready to get started?
Try out our tools with your existing workflow, or we can create a custom experience for you.
Ready to get started?
Try out our tools with your existing workflow, or we can create a custom experience for you.
PARTNERSHIPS
Spring's tech is used by a range of partners across biotech, pharma, and academic research. We provide both strategic collaborations and software licensing.
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