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Supplier LogoNeptune.ai
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Supplier LogoNeptune.ai

Overview
Supplier Slogan
HQ LocationPoland
Year Founded2017
Company TypePrivate
Stock Ticker
Revenue< $10m
Employees51 - 200
Website Open website
Company Description

Neptune is an experiment tracker for ML teams that struggle with debugging and reproducing experiments, sharing results, and messy model handover.

It offers a single place to track, compare, store, and collaborate on experiments so that Data Scientists can develop production-ready models faster and ML Engineers can access model artifacts instantly in order to deploy them to production.

IoT Solutions
Key Customers
Subsidiary
Parent Company

IoT Snapshot
TechnologiesAnalytics & ModelingApplication Infrastructure & MiddlewareInfrastructure as a Service (IaaS)Platform as a Service (PaaS)RobotsSensors
IndustriesBuildingsCementConstruction & InfrastructureConsumer GoodsEducationEquipment & MachineryOil & GasRetail
Use CasesBehavior & Emotion TrackingComputer VisionConstruction ManagementExperimentation AutomationPredictive MaintenanceRetail Store AutomationTime Sensitive NetworkingVirtual TrainingVisual Quality Detection
FunctionsProcurementProduct Research & DevelopmentQuality AssuranceSales & Marketing
ServicesCloud Planning, Design & Implementation ServicesData Science ServicesHardware Design & Engineering ServicesSystem IntegrationTesting & CertificationTraining

Technology Stack
Infrastructure as a Service (IaaS)Moderate
Platform as a Service (PaaS)Minor
Application Infrastructure & MiddlewareStrong
Analytics & ModelingModerate
Functional ApplicationsNone
Cybersecurity & PrivacyNone
Networks & ConnectivityNone
Processors & Edge IntelligenceNone
SensorsMinor
Automation & ControlNone
RobotsMinor
DronesNone
WearablesNone
ActuatorsNone
OtherNone

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Partners

Overview
Supplier Slogan
HQ LocationPoland
Year Founded2017
Company TypePrivate
Stock Ticker
Revenue< $10m
Employees51 - 200
Website Open website
Company Description

Neptune is an experiment tracker for ML teams that struggle with debugging and reproducing experiments, sharing results, and messy model handover.

It offers a single place to track, compare, store, and collaborate on experiments so that Data Scientists can develop production-ready models faster and ML Engineers can access model artifacts instantly in order to deploy them to production.

IoT Solutions
Key Customers
Subsidiary
Parent Company

IoT Snapshot
TechnologiesAnalytics & ModelingApplication Infrastructure & MiddlewareInfrastructure as a Service (IaaS)Platform as a Service (PaaS)RobotsSensors
IndustriesBuildingsCementConstruction & InfrastructureConsumer GoodsEducationEquipment & MachineryOil & GasRetail
Use CasesBehavior & Emotion TrackingComputer VisionConstruction ManagementExperimentation AutomationPredictive MaintenanceRetail Store AutomationTime Sensitive NetworkingVirtual TrainingVisual Quality Detection
FunctionsProcurementProduct Research & DevelopmentQuality AssuranceSales & Marketing
ServicesCloud Planning, Design & Implementation ServicesData Science ServicesHardware Design & Engineering ServicesSystem IntegrationTesting & CertificationTraining

Technology Stack
Infrastructure as a Service (IaaS)Moderate
Platform as a Service (PaaS)Minor
Application Infrastructure & MiddlewareStrong
Analytics & ModelingModerate
Functional ApplicationsNone
Cybersecurity & PrivacyNone
Networks & ConnectivityNone
Processors & Edge IntelligenceNone
SensorsMinor
Automation & ControlNone
RobotsMinor
DronesNone
WearablesNone
ActuatorsNone
OtherNone

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