Best Sensor Data Management System Companies to Know

Sensor data is vital in today’s tech-driven world, powering decisions in industries from manufacturing to healthcare. Managing this data efficiently requires robust systems designed to collect, process, and analyze sensor-generated information in real time. In this article, we explore top companies that specialize in sensor data management systems, helping businesses turn raw data into actionable insights.

1. AI Superior

At AI Superior, we focus on building software solutions that use artificial intelligence, including systems designed to work with sensor-generated data. Our work involves designing, developing, and integrating AI-based models that help businesses make use of data collected from various sources, including sensors deployed in industrial, healthcare, and infrastructure settings.

We develop custom platforms and predictive analytics tools that make it possible to handle and extract insights from real-time or historical sensor data. This helps organizations improve their decision-making processes, detect anomalies early, and build automated responses to system conditions. By integrating sensor data with AI-driven analysis, we support the development of applications such as condition monitoring, operational forecasting, and smart system optimization.

Key Highlights:

• Build AI-based systems that process and analyze sensor data
• Support predictive maintenance and operational optimization with real-time analytics
• Develop solutions that scale with high-volume, distributed sensor networks
• Use machine learning, computer vision, and big data techniques for data interpretation

Services:

• AI software development
• Predictive analytics based on sensor and operational data
• Computer vision and image processing
• Big data analytics and integration
• AI consulting and system design
• Natural language processing for data-driven interfaces
• AI training and education
• Research and development in AI applications

Contact Information:

• Website: aisuperior.com
• Email: info@aisuperior.com
• LinkedIn: www.linkedin.com/company/ai-superior
• Twitter: twitter.com/aisuperior
• Address: Robert-Bosch-Str.7, 64293 Darmstadt, Germany
• Phone Number: +49 6151 3943489

2. PTC

PTC provides software platforms that support digital transformation across product development, manufacturing, and service. The company offers tools that help businesses manage product complexity, streamline processes, and integrate data systems. One of PTC’s key capabilities includes supporting sensor data management systems, especially through its industrial IoT and product lifecycle management solutions.

PTC enables companies to collect, organize, and analyze data from connected devices and sensors. This data can be used for monitoring operations, optimizing product performance, and improving service processes. PTC platforms like ThingWorx are used to build applications that work with sensor data in real time, making it easier to track system performance and make data-driven decisions.

The company works with manufacturers and other sectors that depend on complex machinery and embedded systems. By connecting sensors with digital models and workflows, PTC helps organizations maintain consistent visibility into how their equipment and systems are functioning. This allows for better maintenance planning, operational efficiency, and improved product insights.

Key Highlights:

• Focus on industrial IoT and digital transformation across product life cycles
• Support for integrating sensor data into manufacturing and service systems
• Use of digital thread strategies to connect design, production, and field operations
• Collaboration with Fortune 500 companies in manufacturing sectors

Services:

• Industrial IoT platforms and applications
• Product lifecycle management systems
• Augmented reality for industrial use cases
• Digital twin and digital thread integration
• Software for engineering, manufacturing, and service workflows

Contact Information:

• Website: www.ptc.com
• Address: Yamato Bldg 2F, 1-5-5 Kozakahonmachi Aichi 471-0034, Japan
• Phone: +81 50 6865 2895
• LinkedIn: www.linkedin.com/company/ptcinc
• Twitter: x.com/PTC
• Facebook: www.facebook.com/ptc.inc
• Instagram: www.instagram.com/ptc_inc

3. Siemens

Siemens is a global technology company that operates across various sectors including industry, infrastructure, mobility, and healthcare. Their work focuses on integrating physical systems with digital technologies to support smarter and more efficient operations. Within this framework, Siemens provides tools and systems that support sensor data management across industrial and infrastructure environments.

Siemens develops platforms and software that collect, process, and analyze data from connected sensors used in manufacturing plants, energy systems, transportation networks, and buildings. This data is used to optimize operations, improve safety, monitor system performance, and enable predictive maintenance. The company combines sensor integration with automation, control systems, and cloud-based data platforms to enable real-time visibility and control.

Key Highlights:

• Operates in multiple sectors requiring large-scale sensor data systems
• Provides infrastructure for managing and analyzing real-time sensor data
• Focuses on digital transformation across industry and public systems
• Uses AI, automation, and cloud technologies to support data workflows

Services:

• Industrial automation and control systems
• Internet of Things (IoT) and sensor integration platforms
• Digital twin development and deployment
• Smart infrastructure and building technologies
• Energy and grid management systems
• Data analytics and AI applications for industry

Contact Information:

• Website: www.siemens.com
• Phone: +49 (89) 3803 549
• LinkedIn: www.linkedin.com/company/siemens
• Twitter: x.com/siemens
• Facebook: www.facebook.com/Siemens
• Instagram: www.instagram.com/siemens

4. IBM

IBM is a global technology company providing hardware, software, and consulting services across various industries. Part of IBM’s offerings includes the development and support of systems that manage sensor data, particularly through solutions built on hybrid cloud infrastructure, artificial intelligence, and edge computing. These tools are used by organizations to handle data generated by physical devices and sensors in real-time.

IBM enables businesses to capture, store, and analyze large volumes of sensor data through platforms like IBM Watson and IBM Cloud. These platforms support use cases such as monitoring industrial equipment, managing energy usage in buildings, tracking conditions in supply chains, and automating system responses based on sensor inputs. IBM also integrates these data flows into enterprise systems to support operations, forecasting, and decision-making.

Key Highlights:

• Provides sensor data management solutions across hybrid cloud and AI platforms
• Supports edge computing for real-time data processing from connected devices
• Works across multiple industries including healthcare, energy, and manufacturing
• Offers both software tools and consulting services for system design and implementation

Services:

• AI and machine learning for sensor data analytics
• Edge computing platforms for real-time sensor data processing
• Cloud infrastructure for data storage and integration
• IT automation and system orchestration
• IoT solutions for connected device ecosystems
• Technology and business consulting

Contact Information:

• Website: www.ibm.com
• Address: 1 New Orchard Road, Armonk, NY 10504-1722, United States
• Phone: +1 914-499-1900
• LinkedIn: www.linkedin.com/company/ibm
• Twitter: x.com/ibm
• Instagram: www.instagram.com/ibm

5. Acuity Knowledge Partners

Acuity Knowledge Partners delivers data analytics and data science services with a focus on financial sectors, supporting clients in areas like investment banking, asset management, and private markets. Their work includes building and managing data infrastructure, enabling organizations to transform raw data–often from diverse sources including machines and sensors–into structured, usable insights. While the company primarily focuses on financial data, their technical capabilities also support sensor data management in cases where machine-generated or operational data is involved, particularly in financial modeling, risk analytics, and predictive systems.

The company works with supervised and unsupervised machine learning, natural language processing, and statistical modeling to support large-scale analytics operations. These services help clients analyze both structured and unstructured data, including alternative data from sources such as IoT devices or other machine-generated systems. Their process includes collecting sensor or operational data, cleaning and structuring it, analyzing patterns, and creating automated or custom reports for decision-making.

Key Highlights:

• Supports financial institutions with data analytics infrastructure
• Uses AI and machine learning tools for analyzing sensor-related and operational data
• Builds custom dashboards and reporting systems using structured and alternative datasets
• Enables faster decision-making through automation and data transformation services

Services:

• Data acquisition from traditional, proprietary, and alternative sources
• Data preparation including cleansing, structuring, and transformation
• Supervised and unsupervised machine learning
• Deep learning and unstructured data mining
• Natural language processing and statistical modeling
• Bespoke reporting and data visualization
• Risk analytics and predictive modeling

Contact Information:

• Website: www.acuitykp.com
• Address: 4th Floor, Martin House, 5 Martin Lane, London EC4R 0DP
• Phone: +44 207550 4499
• E-mail: contact@acuitykp.com
• LinkedIn: www.linkedin.com/company/acuity-knowledge-partners
• Twitter: x.com/AcuityKP
• Facebook: www.facebook.com/AcuityKnowledgePartners
• Instagram: www.instagram.com/acuityknowledgepartners

6. dSPACE

dSPACE develops tools and platforms focused on simulation, validation, and data management for the automotive and mobility sectors. One of their key areas is sensor data management, which they support through a dedicated platform called IVS. This system is used to handle the large-scale data generated during the testing and development of automated driving systems and advanced driver assistance systems (ADAS).

The company provides solutions for storing, organizing, filtering, and analyzing petabytes of sensor data collected from test drives. Their tools are designed to help teams access only the relevant segments of data needed for development tasks such as perception algorithm training, trajectory planning, or AI model validation. dSPACE supports cloud-based and on-premise infrastructure, making it possible to manage distributed data sources across different environments.

Key Highlights:

• Focus on managing sensor data from ADAS and automated driving test systems
• Platform handles high-volume data sets from real-world driving scenarios
• Supports both cloud and on-premise data storage and access
• Allows users to create targeted data sets for algorithm training and validation
• Open API for integration into custom workflows and infrastructure

Services:

• Sensor data management for ADAS and autonomous vehicle development
• Cloud-based and on-premise data platform (IVS)
• Tools for filtering, tagging, previewing, and analyzing sensor data
• API access for system integration
• Data selection for AI model training and function validation
• Data logging solutions for testing environments

Contact Information:

• Website: www.dspace.com
• Address: Rathenaustraße 26, 33102 Paderborn, Germany
• Phone: +49 5251 1638-0
• Email: info@dspace.de
• LinkedIn: www.linkedin.com/company/dspace-group
• Facebook: www.facebook.com/dspacecom
• Instagram: www.instagram.com/dspaceglobal

7. Air Force Research Laboratory (AFRL) – SDMS

The Air Force Research Laboratory (AFRL) supports sensor data management through the Sensor Data Management System (SDMS), which is designed to centralize the processing, storage, and distribution of sensor data across Department of Defense research and development programs. The system functions as a secure, self-contained data archiving and handling center with the capacity to manage both classified and unclassified information.

SDMS has been active for more than a decade and provides long-term archival of sensor data collected from test ranges, exercises, and legacy systems. It supports high-volume data processing tasks including reduction, reformatting, characterization, and distribution, making the system suitable for use in algorithm development, system analysis, and performance evaluation.

Key Highlights:

• Centralized archive and distribution system for sensor data
• Designed for high-volume processing and long-term storage
• Secure handling of both classified and unclassified datasets
• Used across multiple defense and research programs
• Specialized in EO/IR, radar, lidar, and multispectral data formats

Services:

• Sensor data archiving and secure storage
• High-speed data processing, reduction, and reformatting
• Custom dataset development for testing and algorithm training
• Web-based data access and query system
• Quality control, calibration, and characterization of data
• Media and format conversion tools
• Distribution through physical and digital channels

Contact Information:

• Website: www.afrl.af.mil
• LinkedIn: www.linkedin.com/company/air-force-research-laboratory
• Twitter: x.com/afresearchlab
• Facebook: www.facebook.com/AFResearchLab
• Instagram: www.instagram.com/afresearchlab

8. EarthOptics

EarthOptics develops and operates systems for soil measurement and analysis, combining sensor-based field data with machine learning models to deliver detailed insights into soil conditions. Their work involves the collection, processing, and interpretation of sensor data related to the biological, chemical, and physical properties of soil. The company applies these capabilities to support agricultural planning, carbon tracking, and farm management.

A key part of EarthOptics’ approach is integrating data from various field sensors into a centralized platform where the information can be analyzed and used to support agronomic decisions. Their systems manage sensor data across large land areas, using predictive models to reduce the need for manual sampling while still maintaining accuracy. The processed data is accessible through a digital dashboard that allows users to view and apply insights for nutrient management, carbon programs, and crop planning.

Key Highlights:

• Focus on soil data collection using physical, chemical, and biological sensors
• Integrates field-collected sensor data into digital tools for agricultural analysis
• Supports carbon planning and sustainability programs with verifiable data
• Uses predictive analytics to reduce manual soil sampling requirements
• Provides users with a centralized dashboard for managing sensor-based insights

Services:

• Soil sensor data collection and processing
• Digital soil mapping and nutrient analysis
• Predictive analytics for crop and input planning
• Carbon measurement, reporting, and verification (MRV)
• Dashboard-based delivery of field data insights
• Support for carbon credit program participation
• Biofertility and pest risk analysis

Contact Information:

• Website: earthoptics.com
• Address: 800 N Washington Ave, Suite 702, Minneapolis, MN 55401
• Phone: (703) 261-9436
• E-mail: hello@earthoptics.com
• LinkedIn: www.linkedin.com/company/earthoptics
• Twitter: x.com/EarthOptics
• Facebook: www.facebook.com/EarthOptics
• Instagram: www.instagram.com/earthoptics

9. Dryad Networks

Dryad Networks develops and operates a large-scale sensor data management system focused on forest environments. Their platform uses a distributed network of wireless IoT sensors designed to detect early signs of wildfires and monitor the health of natural ecosystems. The sensor data is collected using LoRaWAN-based infrastructure and processed through a cloud-based analytics system that enables real-time alerting, monitoring, and environmental analysis.

The company’s system architecture is designed for large, remote deployments in areas lacking existing network coverage. It supports millions of sensors operating in a mesh configuration, powered by solar energy, and optimized for long-range communication. These sensors track environmental parameters such as gas concentrations, temperature, and humidity, which are essential for detecting wildfire conditions and analyzing forest health.

Key Highlights:

• Focuses on environmental sensor networks for wildfire detection and forest monitoring
• Uses LoRaWAN for long-range, low-power sensor communication
• Supports distributed deployment with mesh architecture and solar-powered sensors
• Offers real-time analytics and alerting through a cloud platform
• System is open for integration with third-party sensors and software

Services:

• Sensor data collection for wildfire detection and environmental monitoring
• Wireless mesh and LoRaWAN-based network infrastructure
• Cloud-based sensor data analytics and alerting system
• Health and growth monitoring of forest ecosystems
• Environmental sensing for air, water, and soil metrics
• Adaptable solutions for government, utilities, infrastructure, and agriculture

Contact Information:

• Website: www.dryad.net
• Address: Eisenbahnstr. 37, 16225 Eberswalde, Germany
• Phone: +49 (160) 9549 8178
• E-mail: info@dryad.net
• LinkedIn: www.linkedin.com/company/dryadnetworks
• Twitter: x.com/DryadNetworks
• Facebook: www.facebook.com/dryadnetworks

10. Eko Health

Eko Health develops medical devices and software systems that manage and analyze sensor data for clinical use, with a focus on heart and lung health. Their platform integrates digital stethoscopes with AI-based analytics and cloud tools, allowing healthcare providers to collect, store, and interpret acoustic and electrocardiographic sensor data. These systems are designed to support early detection of conditions like heart murmurs, atrial fibrillation, and reduced ejection fraction.

The company’s devices combine real-time sound capture with waveform and ECG visualization, providing clinicians with both audio and visual diagnostic input. All data collected during patient exams is recorded and stored in a digital format, allowing for longitudinal tracking, data sharing, and integration with telehealth systems. This infrastructure makes Eko Health a relevant provider in the sensor data management space, particularly within clinical and remote care environments.

Key Highlights:

• Manages acoustic and ECG sensor data for clinical decision-making
• Provides AI-assisted diagnostics for heart and lung conditions
• Supports storage, review, and comparison of sensor data over time
• Designed for both in-clinic and remote/telehealth use
• Integrates digital sensors, cloud access, and visualization tools

Services:

• Heart and lung sound data capture using digital stethoscopes
• AI-powered analysis for murmur detection, AFib, and low ejection fraction
• ECG data collection and waveform visualization
• Cloud-based data storage and record management
• Dashboard access for exam reviews and second opinions
• Telehealth-compatible tools for remote care and team collaboration
• Device and software solutions for health systems and clinical trials

Contact Information:

• Website: www.ekohealth.com
• Address: 2100 Powell Street, Suite 300, Emeryville, CA 94608
• Phone: (844) 356-3384

11. Artisight

Artisight develops a sensor-driven platform used in healthcare environments to manage and analyze data from clinical spaces such as patient rooms, operating rooms, and outpatient clinics. Their system combines computer vision, AI, and a multi-sensor network to create a real-time data management environment that supports hospital operations and care delivery. The platform is built to automate routine tasks, monitor physical environments, and deliver insight into workflow efficiency and resource usage.

The core of Artisight’s offering is a smart hospital infrastructure that collects data from connected devices and sensors, processes it with machine learning algorithms, and delivers actionable feedback to clinical teams. This includes tracking staff movements, monitoring equipment usage, and identifying potential delays or bottlenecks in workflows. All sensor data is centralized within a digital interface that supports decision-making and communication without additional burden on clinical staff.

Key Highlights:

• Uses computer vision and sensor networks for real-time hospital data management
• Centralizes clinical data for monitoring workflows, equipment, and space usage
• Applies AI models to automate and improve operational processes
• Designed for scalability across various healthcare settings
• Enables virtual care and documentation with ambient intelligence

Services:

• Sensor data management for hospital environments
• Real-time monitoring and tracking in patient rooms and operating rooms
• Virtual nursing and remote interaction tools
• Workflow automation and process optimization
• AI-driven analytics and documentation support
• Integration with clinical systems and IoT networks

Contact Information:

• Website: artisight.com
• LinkedIn: www.linkedin.com/company/artisight
• Twitter: x.com/_artisight
• Facebook: www.facebook.com/artisight

12. Applied Intuition

Applied Intuition provides simulation, data, and software platforms that support the development and validation of advanced driver-assistance systems (ADAS), autonomous driving (AD), and AI-defined vehicles. A significant part of their work includes managing large volumes of sensor data from real-world driving and virtual test environments. Their tools allow automotive and defense developers to collect, explore, and use sensor data to build safer and more efficient vehicle systems.

The company’s sensor data management capabilities are integrated into products such as Data Explorer and Sensor Sim. These tools support ingestion, filtering, and analysis of raw sensor data, including camera, lidar, radar, and other telemetry inputs. The system enables teams to identify relevant scenarios, annotate sensor events, and build datasets for simulation or machine learning training. Applied Intuition’s cloud infrastructure supports large-scale deployments and remote access to data pipelines and workflows.

Key Highlights:

• Focuses on sensor data workflows for ADAS and autonomous vehicle systems
• Provides tools for simulation, sensor data exploration, and validation
• Supports integration with real-world and synthetic datasets
• Manages large-scale sensor logs from fleets and test environments
• Works across automotive, trucking, defense, and off-road sectors

Services:

• Sensor data ingestion and exploration tools
• Simulation platforms for lidar, radar, and camera systems
• Synthetic dataset generation and testing tools
• AI-based scenario identification and labeling
• Software platforms for ADAS/AD system development
• Validation and compliance tools for industry safety standards
• Modular vehicle software integration

Contact Information:

• Website: www.appliedintuition.com
• LinkedIn: www.linkedin.com/company/applied-intuition-inc
• Twitter: x.com/AppliedInt

13. Pelago

Pelago provides digital health services focused on substance use management through a virtual clinic model. Their system combines remote care delivery with digital tools and connected devices, allowing for personalized treatment plans that use data collected through member interactions and at-home monitoring. The platform includes tools for managing sensor-generated data from devices such as breathalyzers and urinary test kits, which are used to track program adherence and clinical outcomes.

The company’s infrastructure supports continuous data monitoring for members engaged in treatment for alcohol, tobacco, opioids, and cannabis use. Sensor data from at-home testing is integrated into the platform and used by care teams to adjust treatment plans, provide support, and track progress. The data management system ensures that outcomes can be measured, shared securely with providers, and used to inform ongoing care decisions.

Key Highlights:

• Collects and manages sensor data from remote devices used in substance use care
• Integrates at-home monitoring with physician-led care teams
• Enables outcome tracking for treatment programs using digital tools
• Delivers personalized care through a secure, centralized platform
• Supports both individual treatment and population-level reporting for employers and insurers

Services:

• Remote monitoring with breathalyzers and urinary test kits
• Substance use management for alcohol, tobacco, opioids, and cannabis
• Cognitive behavioral therapy through digital interfaces
• Medication-assisted treatment (MAT) management and prescription support
• Clinical oversight by physicians, nurses, and counselors
• Integration of sensor data into personalized care plans
• Outcome tracking and reporting for organizations

Contact Information:

• Website: www.pelagohealth.com
• Address: 1632 1st Avenue #20163, New York, NY 10028, United States
• Phone: +1 877.349.7755
• LinkedIn: www.linkedin.com/company/pelago-health
• Twitter: x.com/pelagohealth
• Facebook: www.facebook.com/healthpelago

14. Wooptix

Wooptix specializes in high-resolution optical metrology for the semiconductor industry using a technique called wavefront phase imaging (WFPI). Their technology is designed to capture precise measurements of wafer geometry, including both blank and patterned wafers, by collecting dense sensor data at micrometer-scale resolution. The company develops and provides tools that generate and manage sensor data for applications in semiconductor manufacturing and advanced lithography.

Their core platform enables users to gather large volumes of optical phase data, which are used to monitor and control wafer flatness, nanotopography, and overall shape during production. Each pixel in the imaging system corresponds to a single data point, and this dense data is processed and interpreted using proprietary tools. This approach helps identify physical deviations or defects early in the semiconductor fabrication process, contributing to yield management and production efficiency.

Key Highlights:

• Uses wavefront phase imaging to collect high-density sensor data on wafer surfaces
• Measures patterned and unpatterned wafer geometry for semiconductor metrology
• Provides sub-nanometer resolution data with micrometer-level lateral precision
• Supports R&D and manufacturing processes with proprietary sensor tools
• Working on automation-ready metrology systems for fab integration

Services:

• High-resolution wafer shape and topography measurement
• Sensor data processing from wavefront phase imaging
• Tools for blank and patterned wafer metrology
• R&D consultancy for optical sensing and semiconductor applications
• Integration of metrology tools into semiconductor workflows

Contact Information:

• Website: wooptix.com
• Address: Fernández de la Hoz, 33, Madrid, Spain
• E-mail: info@wooptix.com
• LinkedIn: www.linkedin.com/company/wooptix
• Twitter: x.com/WooptixCorp
• Facebook: www.facebook.com/wooptixcorporation
• Instagram: www.instagram.com/wooptixcorporation

15. Scale AI

Scale AI provides data infrastructure and services that support the development and deployment of machine learning and generative AI systems. Their platform enables large-scale processing and management of sensor data, especially in scenarios that require accurate labeling, data curation, and training for models used in applications such as autonomous vehicles, defense, and industrial automation.

The company offers tools that ingest raw sensor data–including lidar, camera, and radar inputs–and prepare it for machine learning pipelines through a mix of AI-driven automation and human-in-the-loop workflows. Their platform supports high-volume annotation, dataset management, and real-time validation, which are essential in environments where sensor data plays a central role in perception, decision-making, and system control.

Key Highlights:

• Processes large-scale sensor datasets for training AI and ML models
• Combines human-in-the-loop and AI-based annotation for quality labeling
• Supports 3D, image, lidar, radar, and audio sensor data
• Provides tools for dataset curation, model testing, and performance evaluation
• Used in defense, autonomous driving, and enterprise AI applications

Services:

• Sensor data labeling (3D, image, mapping, audio, text)
• Dataset curation and prioritization using AI-based selection
• Synthetic dataset creation and augmentation
• Model evaluation and comparison
• Reinforcement learning with human feedback (RLHF)
• Enterprise and government AI infrastructure support

Contact Information:

• Website: scale.com
• LinkedIn: www.linkedin.com/company/scaleai
• Twitter: x.com/scale_ai
• Facebook: www.facebook.com/scaleapi

16. Viam

Viam builds a modular platform for managing sensor data, automation, and AI across physical systems and devices. Their tools are used to connect hardware, collect sensor data at the edge, and manage fleets of devices across industries such as manufacturing, food service, entertainment, and marine technology. The system enables users to process real-time data from connected sensors, actuators, and other components, then route that data for storage, analysis, and automation workflows.

The platform supports edge computing and remote device management, making it easier to monitor and control devices deployed in distributed environments. Sensor data collected through Viam is used for applications like predictive maintenance, quality assurance, intelligent actuation, and real-time monitoring. Viam also provides a developer interface to build custom applications that use the incoming sensor data in ways tailored to business operations.

Key Highlights:

• Provides edge-to-cloud infrastructure for collecting and managing sensor data
• Supports integration of hardware devices with custom automation and AI
• Offers remote fleet monitoring, diagnostics, and data routing
• Designed for real-time control and analysis of physical systems
• Supports AI model deployment and sensor-based automation

Services:

• Edge data capture and processing from sensors and actuators
• Fleet and device management tools
• Predictive maintenance and quality control workflows
• Intelligent actuation and motion control based on sensor inputs
• Data structuring and routing to cloud and local storage
• AI and machine learning model deployment at the edge
• Remote troubleshooting and monitoring

Contact Information:

• Website: www.viam.com
• E-mail: contact@viam.com
• LinkedIn: www.linkedin.com/company/viamin
• Twitter: x.com/viamrobotics
• Instagram: www.instagram.com/viamrobotics

17. OroraTech

OroraTech develops satellite-based systems for wildfire detection, monitoring, and environmental analysis using a global network of thermal infrared sensors. The company operates a constellation of satellites in Low Earth Orbit that continuously collect heat data from the Earth’s surface. This sensor data is processed through a central platform to support early detection, spread prediction, and damage assessment of wildfires.

Their sensor data management system aggregates high-resolution data from more than 30 satellite and ground sources. The system uses AI-driven analytics to identify fire signatures, filter out false positives, and deliver actionable alerts in near real time. The platform integrates multiple functions including hotspot detection, predictive modeling of fire movement, and post-event analysis of burnt areas.

Key Highlights:

• Operates satellite constellation with thermal infrared sensors for fire detection
• Manages sensor data streams from space and ground-based sources
• Uses AI to analyze thermal data and predict fire behavior in real time
• Supports early warning, fire spread tracking, and damage mapping
• Provides tools to civil, utility, and environmental organizations

Services:

• Wildfire detection using thermal infrared satellite data
• Fire spread prediction with real-time simulation models
• Burnt area analysis using high-resolution remote sensing
• AI-powered processing and alerting from multi-source sensor data
• System integration with civil protection and infrastructure monitoring tools
• Centralized dashboard and API access for operational use

Contact Information:

• Website: ororatech.com
• Address: OroraTech GmbH, St.-Martin-Str. 112, 81669 Munich, Germany
• Phone: +49 89 2152 7220
• E-mail: info@ororatech.com
• LinkedIn: www.linkedin.com/company/ororatech
• Twitter: x.com/OroraTech
• Facebook: www.facebook.com/ororatech
• Instagram: www.instagram.com/ororatech

18. Vivid Machines

Vivid Machines develops sensor-based systems for precision agriculture, specifically designed to manage and interpret plant-level data across fruit production environments. Their main platform, the Vivid XV3 Vision System, mounts onto farm equipment to scan trees at scale, collecting real-time data on blossoms, fruitlets, and yield across entire orchards. The system combines imaging sensors with computer vision to provide data-driven insights that help growers make decisions on thinning, harvesting, and overall crop load management.

The platform captures sensor data at high speeds and processes it to deliver accurate and immediate information about each plant’s development. This includes data on fruit size, blossom density, and tree inventory. The system integrates this data into a cloud dashboard that supports orchard managers, packhouses, and marketers by enabling early yield predictions, resource allocation planning, and orchard mapping.

Key Highlights:

• Uses mounted sensors and computer vision to collect real-time orchard data
• Provides plant-level monitoring from blossom to harvest
• Converts field data into insights for thinning, labor planning, and marketing
• Integrates cloud-based dashboards for ongoing analysis and historical tracking
• Supports fruit growers, packhouses, and marketers with forecasting tools

Services:

• Orchard scanning and sensor data collection
• Real-time fruit and blossom detection and measurement
• Tree-level mapping and inventory
• Crop load prediction and yield forecasting
• Task mapping and labor planning
• Storage and packing readiness support
• Cloud dashboard access with historical data and reporting

Contact Information:

• Website: www.vivid-machines.com
• Phone: +1 866-276-4248
• E-mail: info@vivid-machines.com
• LinkedIn: www.linkedin.com/company/vivid-machines
• Twitter: x.com/vividmachines
• Facebook: www.facebook.com/vividmachinesag
• Instagram: www.instagram.com/vividmachines

19. Walk With Path

Walk With Path develops wearable technology that integrates sensor data collection with real-time feedback to support mobility and wellbeing. Their devices are designed for individuals with neurological conditions and those seeking to improve foot health or physical stability. The company’s products gather movement and pressure data from users and translate this information into cues or reports aimed at improving gait, balance, and general physical condition.

Their solutions include Path Finder, a visual cueing device for people experiencing freezing of gait, often associated with Parkinson’s disease. It provides laser-generated visual lines on the ground to stimulate movement. Another system, Floave, combines smart insoles with a mobile application to track foot pressure and offer sessions for physical wellness. These insoles use embedded sensors to monitor user movement patterns and support health tracking over time.

The sensor data collected is processed through companion applications, allowing for user insights and potential data sharing with healthcare professionals. The platform supports real-time feedback for users and is applicable in personal use as well as clinical or rehabilitation settings.

Key Highlights:

• Develops wearable devices that collect and process movement and pressure sensor data
• Focuses on mobility enhancement for people with neurological and physical conditions
• Offers real-time visual or tactile feedback through device-integrated sensors
• Supports health tracking via companion mobile applications
• Applicable for both personal and clinical use

Services:

• Wearable sensor-based devices for gait and balance support
• Visual cueing for freezing of gait in Parkinson’s patients
• Smart insoles with integrated pressure sensors
• Mobile app for real-time monitoring and health session guidance
• Data collection and feedback for rehabilitation and wellness
• Use cases in fall prevention and foot health monitoring

Contact Information:

• Website: www.walkwithpath.com
• Address: 54 Sun Street, Waltham Abbey, Essex, England
• Phone: +44 (0) 7976842669
• E-mail: info@walkwithpath.com
• LinkedIn: www.linkedin.com/company/walk-with-path-limited
• Twitter: x.com/walkwithpath/
• Facebook: www.facebook.com/walkwithpath
• Instagram: www.instagram.com/walkwithpath.officia

Conclusion

Managing sensor data is a big deal for a lot of industries these days. From agriculture to healthcare, automotive to space, companies are relying more and more on sensors to collect real-time information and make smarter decisions. But collecting the data is only half the story – knowing how to organize, store, and use it in the right way is where the real value comes in.

The companies we covered all have different ways of handling this, depending on what field they’re in. Some focus on collecting data from satellites, others work with sensors in factories, hospitals, forests, or vehicles. What they all have in common is the ability to take raw sensor data and turn it into something useful.

Whether you’re a business trying to track equipment, improve safety, or just understand what’s happening on the ground in real time, having the right system in place makes a huge difference. As tech keeps evolving, so will the ways we collect and manage data – and the companies helping us do that will continue to play a key role in how we adapt and grow.