Free e-book: Discover the world of AIoT
E-book: Discover the world of AIoT

Your RTLS solution, engineered for precision at scale

Go beyond simple asset tracking. We design and deploy end-to-end Real-Time Location Systems (RTLS) that provide centimeter-level accuracy, seamless scalability, and actionable data for your business.
needCode IoT

We work with Industry Leaders

Challenges with RTLS

Building a high-performance RTLS is a multi-faceted challenge. It requires a deep understanding of RF engineering, software architecture, and operational workflows.

Accuracy vs. scalability

Achieving high-accuracy positioning (down to sub-30cm) is difficult across large, complex environments without compromising system stability. Traditional systems often struggle with signal interference and non-line-of-sight (NLOS) errors in industrial settings.

Data overload

A continuous stream of raw location data is not business value. The challenge is in transforming this data into intelligent events and actionable insights, such as automated workflows, safety alerts, or process optimization.

Complex deployment

Manual calibration of every anchor in a network is a time-consuming and error-prone process. This makes large-scale or temporary deployments impractical and expensive.

Integration with existing systems

To deliver full business value, an RTLS must seamlessly integrate with existing enterprise software (e.g., MES, WMS) and hardware. Lack of interoperability creates data silos and operational bottlenecks.

Our RTLS solutions

Our expertise in RTLS goes beyond standard solutions. We deliver a complete, modular ecosystem that connects hardware, software, and analytics into a cohesive, purpose-built system.

The hardware foundation

Custom UWB tags & anchors

We engineer custom UWB tags, beacons, and anchors for your specific application. Our tags can be miniaturized for wearables or ruggedized for industrial environments, ensuring durability and perfect fit.
  • UWB tag design
    We leverage our expertise in QM33/QM35 chip integration to design miniaturized tags with optimized antenna layouts and low-power consumption for extended lifespan.

  • High-density performance
    Our tags are engineered to address co-channel interference and maximize throughput in crowded spaces, ensuring reliable performance even with hundreds of devices operating simultaneously.

  • PoE for anchors
    We design our anchors with Power over Ethernet (PoE) support, simplifying deployment and ensuring a single-cable solution for both power and backhaul connectivity in industrial settings.

Rapid deployment with autopositioning

We eliminate the need for manual calibration of every anchor with our unique autopositioning anchors. This solution simplifies infrastructure setup, reducing deployment time from days to minutes, ideal for dynamic warehouse layouts or temporary event venues.
  • Simplified setup
    Only the master anchor needs to be aligned with a single reference point; all others calculate their relative location and place themselves automatically.

  • Flexibility
    The system enables both indoor navigation and asset tracking with Wi-Fi connectivity and battery-powered anchors, allowing for rapid deployment in spaces like concerts or sports halls.

Multi-protocol gateways

Our gateways are built to connect all layers of your system. They seamlessly integrate a wide range of protocols, from UWB and BLE for location data, to LTE-M and Wi-Fi for backhaul communication, ensuring a robust and reliable network foundation.

The software intelligence

Advanced location engine

Our core location engine is a hero block that delivers centimeter-level accuracy using UWB and advanced algorithms. We use Kalman filters and Simultaneous Localization and Mapping (SLAM) to enhance performance in challenging, high-density industrial settings. We also optimize antenna arrays for optimal performance, directionality, and multipath rejection.
  • Beyond ranging
    Our engine goes beyond basic Time-of-Flight (ToF) by implementing Phase Difference of Arrival (PDoA), unlocking sub-centimeter accuracy for industrial automation and robotics.

  • Network synchronization
    We implement precision timing and synchronization techniques to maintain nanosecond-level coherence across hundreds of anchors, which is critical for sub-10cm accuracy in large-scale deployments.

Multi-source event correlation

Our Multi-Source Event Correlation Engine transforms raw location data into intelligent events and insights. It combines UWB's precise position with data from other sensors (e.g., IMUs, temperature) to detect complex scenarios, such as a worker entering a hazardous zone while carrying a specific piece of equipment.
  • Contextual awareness
    This engine enables rich contextual awareness, allowing the system to understand not just where an asset is, but what it's doing.

Automated workflows

Our systems enable precise, automated actions based on location data. We can implement Local Automation Rules Engines that trigger events—such as shutting down a machine when a worker enters its zone—without relying on the cloud, ensuring instant, low-latency responses.

The analytics & integration

Data analytics and optimization

We turn continuous streams of location data into actionable business intelligence. Our Data Analytics & Insights Framework leverages machine learning to identify bottlenecks, optimize workflows, and enable predictive maintenance for assets and equipment.
  • Operational intelligence
    We transform UWB data streams for workflow optimization, bottleneck identification, and process improvement in manufacturing or logistics.

Unified enterprise integration

Our API Gateway & Integration Layer enables seamless connection with your existing enterprise systems, such as MES, WMS, and ERP. This ensures the RTLS solution delivers full business value by integrating with your core operational platforms.

Resilience and compliance

We design UWB anchors and tags with inherent resilience, including support for PoE (Power over Ethernet) for simplified deployment. Our solutions also meet stringent safety and security standards, including ATEX/IECEx compliance for hazardous environments and cryptographic authentication between tags and anchors.
  • Cybersecurity
    We implement a robust security architecture for UWB RTLS networks, protecting location data and preventing spoofing attacks on Qorvo-enabled systems.

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We bring to your project a real-time partnership

We believe that great RTLS solutions are not just built; they are architected with a holistic view of your business. Our expertise in Real-Time Operating Systems (RTOS) and deterministic systems ensures we can deliver on the promise of precision where every millisecond and centimeter counts. We partner with you from day one, offering comprehensive services that turn a concept into a strategic advantage.

01

Holistic expertise

We combine deep knowledge of RTOS and UWB technology to deliver a solution with guaranteed determinism and accuracy, essential for mission-critical applications.

02

From idea to optimization

Our services cover the entire lifecycle of your project, including IoT Strategic Roadmap, Smart Product Development & Optimization, and Cybersecurity & Compliance, to ensure a seamless, low-risk process.

03

Our people

You get direct access to our team of experts, including our CEO, Bartek Kling, who can provide a strategic look at your project and demonstrate our solutions in action.

Where our RTLS solutions fit: industry applications

Our modular approach allows us to deliver optimized solutions across multiple industrial applications, solving common problems with uncommon speed and precision.

Industrial & manufacturing

  • Worker safety
    Implement secure geofencing boundaries with UWB, providing proximity warnings for collision avoidance with machinery and vehicles.
  • Asset & tool tracking
    Precisely locate tools and equipment on the factory floor, preventing Foreign Object Debris (FOD) incidents in highly regulated environments like aerospace MRO.
  • Automated guided vehicles (AGV)
    Provide the localization backbone for AGVs and Autonomous Mobile Robots (AMRs), enabling sub-centimeter docking precision for automated charging and material transfer.

Warehousing & logistics

  • Inventory management
    Achieve unprecedented inventory accuracy and optimize material flow by tracking every pallet, container, and vehicle in real time.
  • Workflow optimization
    Analyze UWB data streams to identify bottlenecks, optimize picking routes, and improve overall operational efficiency.
  • Rapid deployment for events
    Our autopositioning anchors allow for quick and easy setup of RTLS infrastructure, perfect for pop-up warehouses or temporary event venues.

Healthcare & life sciences

  • Medical asset tracking
    Track expensive medical equipment, from infusion pumps to diagnostic tools, across hospital floors, reducing search time and ensuring availability when needed.
  • Staff monitoring
    Provide staff proximity badges to manage access control in sensitive areas and track personnel flow for compliance and safety.
  • Patient safety
    Monitor patient movement within wards to enhance safety and improve response times.

Case studies

Read more in our E-books

Testimonials

“I think the key takeaway from needCode is their ability to adapt and understand the customer's requirements. That took away probably a large portion of what could have been a lot of development time and expense for both companies.”
Bob Folkestad
Bob Folkestad
President at Creative Werks
“One aspect that truly sets needCode apart is its profound expertise in firmware development. Their proficiency in various programming languages, embedded systems and hardware architecture is truly impressive. When faced with difficult problems, their strong problem-solving skills and analytical mindset shine through, allowing them to overcome obstacles with remarkable ease.”
avatar Semeh Sarhan
Semeh Sarhan
CEO at Xtrava
“I worked with needCode while leading the NWTN-Berlin team in 2018. A big chunk for our FW development has been outsourced to them and they had proven to iterate very quickly, following specs and deliver on time. It was great working with them. I recommend working with needCode’s team on any Embedded SW development.”
avatar Marco Salvioli Mariani
Marco Salvioli Mariani
CTO at NWTN Berlin GmbH
“needCode Team proved to be one of the best engineers I have ever met. The part I like the most about the team is the more difficult an obstacle seems to be, the more motivated they were to find a solution and a way forward.”
A Testimonial picture
Szymon Słupnik
CTO at Silvair
“needCode is an outstanding partner. Their quick follow-up, scalability, and extensive professional network set them apart. Their expertise in wireless technologies has been valuable, supporting us from low-level drivers to architecture discussions.”
avatar Tim Allemeersch
Tim Allemeersch
Director at Qorvo, Inc.
“needCode did a great job improving the firmware of the Vai Kai connected toys and developing new features, surpassing our expectations multiple times. I would definitely recommend hiring Bartek and needCode for the embedded software projects!”
avatar Matas Petrikas
Matas Petrikas
CEO & Co-founder
at Vai Kai UG

Partnerships:

Let's work on your next project together

Book a demo and discovery call with our CEO
to get a look at:
Strategic Expertise
End-to-End Solutions
Advanced Technology
Custom Hardware Devices
Bartek Kling
Bartek Kling / CEO
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Manufacturing

Modern manufacturing machines are typically equipped with IoT sensors that capture performance data. AIoT technology analyzes this sensor data, and based on vibration patterns, the AI predicts the machine's behavior and recommends actions to maintain optimal performance. This approach is highly effective for predictive maintenance, promoting safer working environments, continuous operation, longer equipment lifespan, and less downtime. Additionally, AIoT enhances quality control on production lines.

For example, Sentinel, a monitoring system used in pharmaceutical production by IMA Pharma, employs AI to evaluate sensor data along the production line. The AI detects and improves underperforming components, ensuring efficient machine operation and maintaining high standards in drug manufacturing.

Logistics & supply chain

IoT devices - from fleet vehicles and autonomous warehouse robots to scanners and beacons - generate large amounts of data in this industry. When combined with AI, this data can be leveraged for tracking, analytics, predictive maintenance, autonomous driving, and more, offering greater visibility into logistics operations and enhancing vendor partnerships.

Example: Amazon employs over 750,000 autonomous mobile robots to assist warehouse staff with heavy lifting, delivery, and package handling tasks. Other examples include AI-powered IoT devices such as cameras, RFID sensors, and beacons that help monitor goods' movement and track products within warehouses and during transportation. AI algorithms can also estimate arrival times and forecast delays by analyzing traffic conditions.

Retail

IoT sensors monitor movement and customer flow within a building, while AI algorithms analyze this data to offer insights into traffic patterns and product preferences. This information enhances understanding of customer behavior, helps prevent stockouts, and improves customer analytics to drive sales. Furthermore, AIoT enables retailers to deliver personalized shopping experiences by leveraging geographical data and individual shopping preferences.

For instance, IoT sensors track movement and customer flow, and AI algorithms process this information to reveal insights into traffic patterns and product preferences. This ultimately leads to better customer understanding, stockout prevention, and enhanced sales analytics.

Agriculture

Recent research by Continental reveals that over 27% of surveyed farmers utilize drones for aerial land analysis. These devices capture images of crops as they are and transmit them to a dashboard for further assessment. However, AI can enhance this process even further.

For example, AIoT-powered drones can photograph crops at various growth stages, assess plant health, detect diseases, and recommend optimal harvesting strategies to maximize yield. Additionally, these drones can be employed for targeted crop treatments, irrigation monitoring and management, soil health analysis, and more.

Smart Cities

Smart cities represent another domain where AIoT applications can enhance citizens' well-being, facilitate urban infrastructure planning, and guide future city development. In addition to traffic management, IoT devices equipped with AI can monitor energy consumption patterns, forecast demand fluctuations, and dynamically optimize energy distribution. AI-powered surveillance cameras and sensors can identify suspicious activities, monitor crowd density, and alert authorities to potential security threats in real-time, improving public safety and security.

For example, an AIoT solution has been implemented in Barcelona to manage water and energy sustainably. The city has installed IoT sensors across its water supply system to gather water pressure, flow rate, and quality data. AI algorithms analyze this information to identify leaks and optimize water usage. Similarly, smart grids have been introduced to leverage AI to predict demand and distribute energy efficiently, minimizing waste and emissions. As a result, these initiatives have enabled the city to reduce water waste by 25%, increase renewable energy usage by 17%, and lower greenhouse gas emissions by 19%.

Healthcare

Integrating AI and IoT in healthcare enables hospitals to deliver remote patient care more efficiently while reducing the burden on facilities. Additionally, AI can be used in clinical trials to preprocess data collected from sensors across extensive target and control groups.

For example, intelligent wearable technologies enable doctors to monitor patients remotely. In real-time, sensors collect vital signs such as heart rate, blood pressure, and glucose levels. AI algorithms then analyze this data, assisting doctors in detecting issues early, developing personalized treatment plans, and enhancing patient outcomes.

Smart Homes

The smart home ecosystem encompasses smart thermostats, locks, security cameras, energy management systems, heating, lighting, and entertainment systems. AI algorithms analyze data from these devices to deliver context-specific recommendations tailored to each user. This enables homeowners to use utilities more efficiently, create a personalized living space, and achieve sustainability goals.

For example, LifeSmart offers a comprehensive suite of AI-powered IoT tools for smart homes, connecting new and existing intelligent appliances and allowing customers to manage them via their smartphones. Additionally, they provide an AI builder framework for deploying AI on smart devices, edge gateways, and the cloud, enabling AI algorithms to process data and user behavior autonomously.

Maintenance (Post-Release Support)

When your product is successfully launched and available on the market we provide ongoing support and maintenance services to ensure your product remains competitive and reliable. This includes prompt resolution of any reported issues through bug fixes and updates.

We continuously enhance product features based on user feedback and market insights, optimizing performance and user experience.

Our team monitors product performance metrics to identify areas for improvement and proactively addresses potential issues. This phase aims to sustain product competitiveness, ensure customer satisfaction, and support long-term success in the market.

Commercialization (From MVP to Product

Our software team focuses on completing the full product feature range, enhancing the user interface and experience, and handling all corner cases. We prepare product software across the whole lifecycle by providing all necessary procedures, such as manufacturing support and firmware upgrade.

We also finalize the product's hardware design to ensure robustness, scalability and cost-effectiveness.

This includes rigorous testing procedures to validate product performance, reliability, and security. We manage all necessary certifications and regulatory compliance requirements to ensure the product meets industry standards and legal obligations.

By the end of this phase, your product is fully prepared for mass production and commercial deployment, with all documentation and certifications in place.

Prototyping (From POC to MVP)

Our development team focuses on implementing core product features and use cases to create a functional Minimum Viable Product (MVP). We advance to refining the hardware design, moving from initial concepts to detailed PCB design allowing us to assemble first prototypes. Updated documentation from the Design phase ensures alignment with current project status. A basic test framework is established to conduct preliminary validation tests.

This prepares the product for real-world demonstrations to stakeholders, customers, and potential investors.

This phase is critical for validating market readiness and functionality before proceeding to full-scale production.

Design (From Idea to POC)

We meticulously select the optimal technology stack and hardware components based on your smart product idea with detailed use cases and feature requirements (Market Requirements Document / Business Requirements Document). Our team conducts thorough assessments of costs, performance metrics, power consumption, and resource requirements.

Deliverables include a comprehensive Product Requirements Document (PRD), detailed Software Architecture plans, an Initial Test Plan outlining validation strategies, Regulatory Compliance Analysis to ensure adherence to relevant standards, and a Proof of Concept (POC) prototype implemented on breakout boards.

This phase aims to validate the technical feasibility of your concept and establish a solid foundation for further development.

If you lack a validated idea and MRD/BRD, consider utilizing our IoT Strategic Roadmap service to gain insights into target markets, user needs, and desired functionality. Having a structured plan in the form of an IoT Strategic Roadmap before development begins is crucial to mitigate complications in subsequent product development phases.