We don’t rely on proxies or assumptions. Our technology captures and quantifies actual microbial growth—bringing gold-standard biological methods into the era of high-speed, automated testing. Designed for regulated environments. Backed by validated microbiology.
Ground Truth Biology
Direct Growth Detection—No Proxies, No Shortcuts.
Many so-called “rapid” tests detect metabolic byproducts or surrogate signals. Mango’s platform uses true microbial growth as the endpoint—mirroring traditional plating while radically compressing the time to result. The outcome? Scientifically sound data that holds up to regulatory scrutiny.
Detection method: Optical monitoring of real microbial colonies
Detection method: Optical monitoring of real microbial colonies
Detection method: Optical monitoring of real microbial colonies
Complies with USP <61>/<71> growth-based detection guidelines
Complies with USP <61>/<71> growth-based detection guidelines
Complies with USP <61>/<71> growth-based detection guidelines
Eliminates false positives from non-viable organisms or residual metabolites
Eliminates false positives from non-viable organisms or residual metabolites
Eliminates false positives from non-viable organisms or residual metabolites
Advanced Imaging & ML Quantification
From Micron to Meaning—at 1μm Resolution.
Each Mango cartridge is continuously imaged in situ using high-resolution optics. Our detection engine leverages machine learning to distinguish and track colony morphology, even in early growth phases. The result is precise CFU quantification without the need for manual inspection or guesswork.
High-resolution sensor captures 1μm growth in real time.
Machine-learning detection benchmarked against manual plate reads.
Continuous imaging means no manual sampling or endpoint guesswork.
We don't wait for growth to be visible. We see it as it begins.
Validated Protocols, Trusted Results
Thousands of Hours. Dozens of Organisms. One Standard.
We’ve tested our system with a diverse panel of bacterial and fungal species across a range of media and conditions. Every protocol is built to meet or exceed USP <61>/<71> guidelines. Performance is tracked across real-world samples to ensure repeatability, accuracy, and specificity.
Tested With
20+ organisms
across Gram-positive, Gram-negative and fungal classes
Bacillus spizizenii
Title
2000 HRS
of in-lab growth validation
Bacillus spizizenii
Protocols tuned for
2 workflows
Bio-burden and sterility
Bacillus spizizenii
Tested With
20+ organisms
across Gram-positive, Gram-negative and fungal classes
Bacillus spizizenii
Title
2000 HRS
of in-lab growth validation
Bacillus spizizenii
Protocols tuned for
2 workflows
Bio-burden and sterility
Bacillus spizizenii
Tested With
20+ organisms
across Gram-positive, Gram-negative and fungal classes
Bacillus spizizenii
Title
2000 HRS
of in-lab growth validation
Bacillus spizizenii
Protocols tuned for
2 workflows
Bio-burden and sterility
Bacillus spizizenii
Tested With
20+ organisms
across Gram-positive, Gram-negative and fungal classes
Bacillus spizizenii
Title
2000 HRS
of in-lab growth validation
Bacillus spizizenii
Protocols tuned for
2 workflows
Bio-burden and sterility
Bacillus spizizenii
Tested With
20+ organisms
across Gram-positive, Gram-negative and fungal classes
Bacillus spizizenii
Title
2000 HRS
of in-lab growth validation
Bacillus spizizenii
Protocols tuned for
2 workflows
Bio-burden and sterility
Bacillus spizizenii
Tested With
20+ organisms
across Gram-positive, Gram-negative and fungal classes
Bacillus spizizenii
Title
2000 HRS
of in-lab growth validation
Bacillus spizizenii
Protocols tuned for
2 workflows
Bio-burden and sterility
Bacillus spizizenii
Tested With
20+ organisms
across Gram-positive, Gram-negative and fungal classes
Bacillus spizizenii
Title
2000 HRS
of in-lab growth validation
Bacillus spizizenii
Protocols tuned for
2 workflows
Bio-burden and sterility
Bacillus spizizenii
Tested With
20+ organisms
across Gram-positive, Gram-negative and fungal classes
Bacillus spizizenii
Title
2000 HRS
of in-lab growth validation
Bacillus spizizenii
Protocols tuned for
2 workflows
Bio-burden and sterility
Bacillus spizizenii
Environmental & Process-Ready
Designed To Support Commercial Manufacturing.
Sterility testing in pharmaceutical or manufacturing environments isn’t clean-room theory—it’s messy, diverse, and dynamic. Mango’s detection system has been validated on environmental samples, product matrices, and variable bioburden levels. We’ve designed it to handle what real labs see every day.
Compatible with fluid sampling coupled with membrane filtration.
Algorithm tested against mixed populations and high-background matrices.
Filter-based prep method improves contaminant capture for low CFU samples.
Scientific Integrity at Speed
Rapid, But Never Rushed.
Speed means nothing without trust. That’s why every result from Mango includes incubation data, growth curves, CFU progression, and environmental metadata. You get a transparent, traceable view of the entire test lifecycle—ready for audit, review, or investigation.
Results available in as little as 10 hours
Full test lifecycle data stored and exportable to LIMS
Built-in audit trails for compliance and traceability
ready. set. go.
Join the growing number of companies modernizing their QC labs with Mango.
Get in touch
Reach out with any questions you may have or to learn more.
Email Mango
Get in touch
Reach out with any questions you may have or to learn more.
Email Mango
Get in touch
Reach out with any questions you may have or to learn more.