Yalantis specializes in end-to-end Internet of Things analytics services that cover everything from IoT data integration and real-time visualization to predictive maintenance and custom dashboards for manufacturing, healthcare, and logistics enterprises.
Real products. Real results.
From industrial sensors to fleet management platforms, we build IoT products that solve real operational problems and deliver results clients can measure. The cases below are a sample of what we have shipped.
IoT analytics services by Yalantis
IoT data management & integration
Solid IoT data management is the foundation of every analytics project. We help companies bring together data from sensors and devices, third-party systems, and legacy infrastructure into one robust pipeline. Whether you need IoT data integration with your existing cloud infrastructure or a completely new data architecture, our team handles collection, storage, processing, and governance so your data is clean, consistent, and ready to extract actionable insights.
- Device integration for monitoring vital data and specific health metrics
- IoT data collection and aggregation
- Data storage and database management
- Real-time data processing
- Data analytics and insights
- Cloud services and integration
IoT analytics solutions
Our IoT analytics solutions cover the full range of what it takes to turn raw device data into something useful. From data sampling and validation to edge computing and bandwidth optimization, we build scalable systems that process information where it matters most. Every solution is designed around your specific data flows, so you get accurate results without unnecessary complexity.
- Data sampling and aggregation
- Data ingestion and validation
- Protocol conversion and sensor selection
- Energy consumption analytics and demand forecasting
- Location-based services
- Edge computing and bandwidth optimization
- Data prioritization and filtering
- Data security and privacy
- Scalability planning
IoT asset tracking & location analytics
Knowing where your assets are and how they move is critical in healthcare, warehousing, and logistics. Our IoT asset tracking services combine real-time location data with analytics to help you manage inventory, reduce losses, and improve restocking efficiency. We connect tracking hardware with your existing systems so location intelligence becomes part of your daily workflows.
- Real-time location tracking
- IoT implementation in healthcare for inventory management
- Restocking notifications
IoT analytics consulting & support
If you are not sure where to start or how to get more out of your current setup, our IoT analytics consulting services can help. We bring deep expertise in device selection, system configuration, and data strategy, and we also provide ongoing support for hardware calibration, system reliability, and error handling. Think of it as having an experienced IoT data services partner on call.
- Consultations on device selection and configuration
- Work with hardware (e.g. support, calibration)
- Data management and analytics
- System reliability and error handling
IoT data visualization and dashboards
Data is only valuable when people can understand it quickly. Our IoT data visualization services turn complex sensor feeds into intuitive, interactive dashboards that teams actually use. We design visual interfaces for real-time monitoring, historical trends, geographic mapping, and device health, all accessible across platforms so the right people see meaningful data at the right time.
- Dashboard design and development
- Custom visualization components
- Real-time data visualization
- Interactive data exploration
- Historical data analysis
- Geographic visualization
- Device and sensor status
- Multiplatform support
Real-time IoT monitoring & alerts
When something goes wrong with a connected device or process, you need to know immediately. Our real-time IoT monitoring services detect events as they happen and automatically send alerts through the channels your team already uses. We set up threshold monitoring, anomaly detection, and incident management integrations so you can respond before small issues become costly problems.
- Event detection and notification
- Alert configuration and management
- Real-time dashboard updates
- Threshold monitoring
- Proactive maintenance alerts
- Integration with incident management systems
- Historical data analysis for trend identification
Predictive maintenance analytics
Unplanned downtime is one of the most expensive problems in manufacturing, energy, and logistics. Our IoT predictive analytics services use machine learning models trained on your equipment data to forecast failures before they happen. We handle everything from sensor calibration and data analysis to building the predictive models and alert workflows that keep your operations running smoothly.
- Data analysis and predictive modeling
- Predictive analytics for anomaly detection
- Machine learning model development
- Failure prediction and risk assessment
- Sensor calibration and maintenance
- Failure impact analysis
- Prescriptive maintenance recommendations
- Predictive alerts
See our cases
Automotive IoT challenges we solve
Descriptive analytics
Descriptive analytics summarizes what has already happened across your IoT network. It aggregates equipment logs, delivery records, and sensor readings to reveal trends and give your team a reliable baseline for measuring progress.
Diagnostic analytics
Diagnostic analytics explains why something happened. When equipment overheats or a wearable flags abnormal readings, our correlation models and event dashboards help you pinpoint the root cause.
Predictive analytics
Predictive analytics uses historical IoT data and machine learning to forecast future events. We build models tailored to your data so you can anticipate breakdowns, demand spikes, or failures weeks in advance.
Prescriptive analytics
Prescriptive analytics recommends what to do next. Rather than just flagging a likely failure, it suggests maintenance windows, replacement parts, or automated adjustments to keep operations running.
Lacking perception for decision-making?
Yalatis will help you get the most out of your data flows and enable real-time data-driven decision-making by establishing proper data collection, processing, and analysis.
Benefits of IoT analytics integration with Yalantis
Data-driven decisions from IoT analytics
Empower your business strategy with IoT data analytics that fuels smarter, faster, and more informed decisions.
Real-time operational insights from connected assets
Gain full process visibility and react instantly with real-time IoT analytics solutions bonded to your industry.
Reduced costs through smarter IoT resource management
Run more efficient operations by reducing energy waste and operational costs through IoT data analytics integration and automated usage tracking.
Seamless IoT data integration with existing systems
We offer full IoT integration analytics for your existing IT and OT systems, including legacy infrastructure, to create a unified data flow.
Actionable IoT data visualization for faster alignment
Transform raw data into clear, insightful IoT data visualization dashboards for faster team alignment.
Industry-specific IoT analytics solutions built for your domain
From manufacturing to healthcare, we build custom IoT analytics solutions aligned with domain-specific needs.
Testimonials from our clients
Why choose Yalantis as your IoT analytics company
93% CSAT & 91% NPS
Our clients consistently rate their experience working with us as excellent, reflected in a 93% client satisfaction score and a 91% Net Promoter Score.
200+ delivered projects
We have successfully delivered over 200 projects across IoT, data engineering, and product development, with an average collaboration length of over 4 years per client.
AWS Advanced Tier Services Partner
This gives us direct access to AWS IoT tools, training, and support that benefit our clients’ projects.
Full-cycle IoT analytics integration services
From initial consulting and architecture design through development, deployment, and long-term support, we cover the entire project lifecycle.
Rapid PoC & MVP launch
Launch PoC and MVP in months — not years — and scale as your connected mobility solutions grow.
Discover how our upcoming automotive IoT platform can help you launch connected vehicle services faster and safer.
Become an automotive industry leader with our scalable, secure solution built for real-world performance.
Compliance & certifications
ISO/IEC 27001: Information security
Certified information security management system that keeps IoT infrastructure and device data protected through established security controls and regular improvement cycles.
ISO/IEC 27701: Privacy management
Privacy management certification covering GDPR compliance and data protection, relevant for IoT analytics projects that involve processing personal or sensitive device data.
IEC 62443: Industrial cybersecurity
Industrial security certification covering OT environments and SCADA systems, so connected manufacturing equipment meets the cybersecurity requirements it needs to operate safely.
SOC 2 Type II: Data handling controls
Independent audit confirming that our data handling and access control practices meet the standards enterprises expect when trusting a partner with their IoT data.
HIPAA compliance
Data protection expertise for IoT solutions that handle protected health information, covering encryption and access controls alongside full audit logging.
ISO 9001: Quality management
Quality certification ensuring every IoT analytics engagement runs through structured, repeatable processes. Clients know what to expect from first assessment through to launch.
Our IoT analytics tech stack:
AWS IoT Core
Microsoft Azure IoT Hub
Google Cloud IoT
Apache Kafka
AWS Kinesis
Azure Event Hubs
MQTT brokers
InfluxDB
TimescaleDB
Amazon S3
Azure Blob Storage
Python (pandas, scikit-learn)
TensorFlow
Apache Spark
Snowflake
Databricks
Grafana
Power BI
Tableau
Custom React-based dashboards
How we deliver IoT analytics projects
Discovery and scoping
We start by understanding your business goals, data sources, and current infrastructure. This phase includes stakeholder interviews, data audits, and a technical feasibility review.
Architecture design
Based on discovery, we design the data pipeline, analytics stack, and integration points. You get a clear architecture document and a roadmap before any development begins.
Proof of concept
For complex projects, we build a focused PoC to validate key assumptions, test data flows, and demonstrate value before committing to full-scale development. This also helps with faster adoption across your teams.
Development and integration
Our engineering team builds the analytics solution, connects it to your devices and existing systems, and sets up dashboards, alerts, and reporting tools.
Deployment and testing
We deploy to your production environment with thorough testing, performance benchmarking, and security checks to make sure everything works under real conditions.
Ongoing support
After launch, we provide monitoring, optimization, and feature updates as your IoT analytics needs evolve. Many of our clients stay with us for years as their systems grow.
Want to enhance your solution with IoT technology?
Yalantis will provide you with a comprehensive consultation and guidance on selecting IoT devices, developing IoT software, and implementing big data analytics.
IoT analytics insights
Articles
How Manufacturers Use IoT for Predictive Maintenance
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How to Ensure Efficient Real-Time Big Data Analytics
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IIoT Data Management and Analytics for Manufacturers
Large manufacturers are gradually jumping to a data-driven operational strategy and utilizing IIoT devices. See how the industry wins by adopting industrial IoT data management.
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FAQ
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How can IoT data analytics improve operational efficiency in real time?
IoT data analytics processes device data as it arrives, giving your team a live view of operations. This means you can spot bottlenecks, track resource usage, and respond to issues before they escalate, all without waiting for end-of-day reports.
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What ROI can companies expect from IoT analytics implementation?
ROI varies by industry, but most companies see measurable gains within the first year. Common results include lower maintenance costs from predictive analytics, reduced energy waste from real-time monitoring, and faster decision-making from automated reporting.
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How do you assist clients in complying with data regulations and standards for IoT data management?
Our IoT analytics software complies with GDPR, HIPAA, and more via built-in encryption, access control, consent management, data retention tools, audit logs, and continuous regulatory updates, so that data is protected and compliant throughout its lifecycle.
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How do you ensure seamless integration of IoT data analytics with existing systems?
We deliver custom IoT analytics integration, connecting analytics tools with your IT/OT infrastructure to ensure smooth data flow and system compatibility.
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How do you handle scalability and performance challenges when managing and processing large amounts of IoT data?
We build scalable systems using cloud-based infrastructure (AWS, Azure, Google), distributed architecture, load balancing, data partitioning, and redundancy. These techniques help handle growing data loads, optimize performance, and ensure high availability across all components of the IoT analytics system.
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Can IoT analytics help predict and prevent device downtime?
Yes, our IoT analytics services use real-time data and machine learning to forecast issues, enabling predictive maintenance and minimizing downtime risks.
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How do you manage data privacy and security in IoT analytics?
We implement secure data pipelines, encrypted storage, and role-based access controls to safeguard sensitive data and ensure privacy and compliance within all IoT analytics solutions.
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How do IoT analytics services work with real-time data streams?
Our IoT analytics services use streaming technologies like Apache Kafka and AWS Kinesis to process device data the moment it arrives. Data flows through ingestion, validation, and analytics layers in near real time, so dashboards and alerts always reflect the current state of your operations.
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Can IoT analytics be used for predictive maintenance?
Yes. We train machine learning models on your historical equipment data to identify patterns that precede failures. These models run continuously on incoming sensor data and generate alerts before problems occur, helping you schedule maintenance proactively and avoid unplanned downtime.
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What industries benefit most from IoT data analytics?
Manufacturing, healthcare, logistics, energy, agriculture, and automotive are among the industries that benefit most. Any sector that relies on connected devices or sensor data can use IoT analytics to improve efficiency, reduce costs, and make faster decisions.
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What tools and platforms do you use for IoT data analytics?
We work with AWS IoT, Azure IoT Hub, Google Cloud IoT, Apache Kafka, InfluxDB, TimescaleDB, Grafana, Power BI, Tableau, and Python-based ML frameworks like TensorFlow and scikit-learn. We select the stack based on your project requirements, existing infrastructure, and scalability needs.
How to get started with IoT data analytics
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