No silicon vendor ships an UWB sniffer. We do.

The Modular UWB Sniffer is the only purpose-built tool for passive capture, dissection, and decryption of 802.15.4a/z UWB traffic - configurable to your protocol, channel, form factor, and workflow. Decoders for FiRa, CCC Digital Key, Aliro, and omlox, Wireshark and CI/CD integration, and out-of-band session capture over BLE and CAN. Not designed in a vacuum: extracted from 8 years of production UWB engineering inside Qorvo R&D.
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We work with Industry Leaders

UWB is not WiFi. It is not BLE. Standard sniffers don't work here.

Every reason generic tooling fails on UWB is physics or protocol design, not a missing feature. There's no carrier to lock onto - pulses must be correlated against the right preamble code, and the wrong code captures zero frames. A ranging frame lasts 150 µs to 2 ms, so missing one synchronisation event loses the whole round. The session is negotiated before the session: CCC, FiRa, and Aliro exchange parameters out-of-band over BLE or CAN before the first UWB packet, and a sniffer that misses that exchange is blind from the start. Multiply channel, PRF, preamble code, SFD, data rate, STS mode, and preamble length, and there are millions of PHY configurations to guess. And in 802.15.4z, AES-128 scrambles the radio waveform itself - the pulses are the ciphertext.

That's why engineers debugging UWB today work with device logs, oscilloscopes, and guesswork - and why we built this tool while shipping production firmware across nine UWB hardware platforms. It exists because we needed it.

Purpose-built for UWB

Raw 802.15.4a/z PHY capture, preamble-code correlation, STS handling - engineered for the physics generic sniffers can't touch.

Modular to your stack

Start with the base unit; add only the protocol decoders, features, and tooling your product needs.

Extracted, not invented

Built during 8 years of production UWB work inside Qorvo R&D - the tool a shipping team actually reaches for.

One base unit. Modules for everything else.

The sniffer is a platform, not a monolith - the same firmware and protocol modules run across every hardware variant. Four layers, chosen per configuration.

Base Unit

UWB probe hardware with raw 802.15.4a/z PHY capture on channels 5 and 9 (plus legacy 1-6), PHY scanner and sweep mode, generic 802.15.4 MAC dissection, JSON export, and CLI control on Linux, Windows, and macOS. Everything downstream builds on this capture layer - it's always included and always on.

Protocol Decoders

Add the higher-layer decoders your product speaks: FiRa (DS-TWR, SS-TWR, OWR for AoA, DL-TDoA/UL-TDoA, session lifecycle), CCC Digital Key (dynamic STS, multi-anchor O2M TWR, frame hopping, automatic key extraction from CAN), Aliro (with dissector updates as the spec evolves), and omlox for industrial RTLS. An 802.15.4ab decoder - MMS ranging, Wake-Up Radio, SENS packets - is on the roadmap.

Feature Add-ons

STS decryption and key injection to see the full waveform and payload rather than just frame headers, a BLE companion for out-of-band session capture, multi-unit time-synchronised capture, and per-frame CIR / advanced PHY data. These are the modules that turn capture into insight - including STS integrity detection even without the key.

Tooling & Integration

A GUI and Wireshark plug-in with custom dissectors and live extcap streaming - named fields, so filter expressions work natively - plus a scriptable REST/Python API with automated pass/fail rules for CI/CD and HIL benches, multi-node TDoA localization for tracking signal sources across a site, and headless cloud/remote operation for distributed teams. The sniffer plugs into the workflow you already have.

Debugging UWB with logs, scopes, and guesswork?

Book a discovery call with our CEO

Five places a UWB sniffer pays for itself

Select your application - it sets sensible defaults for channel, decoder, and companion capture.

Automotive Digital Key

Passive entry and phone-as-key under CCC Digital Key: dynamic STS, multi-anchor sessions, frame hopping - with a CAN companion that extracts session parameters directly from the vehicle network, ready for the HIL bench.

Access Control (Aliro)

Keyless access on the CSA's Aliro standard, where the BLE companion observes session setup and correlates it with the UWB ranging traffic - visibility into a spec that's still evolving, with dissector updates included.

Industrial RTLS

Warehouse positioning and asset tracking on omlox: UL-TDoA, DL-TDoA, RToF, and TsToF with multi-anchor session correlation and multi-tag coverage across large sites - plus TDoA localization to verify anchor placement against reality.

Consumer Electronics

Smart home, mobile payments, and indoor navigation on FiRa - full two-way ranging plus one-way ranging for AoA, DL-TDoA, and UL-TDoA, with session lifecycle decode and distance readable directly in Wireshark.

R&D & Protocol Research

Standards work, interoperability testing, and pre-production debugging: full PHY scanner mode sweeps realistic configuration combinations in parallel across multiple probes and locks once traffic is detected - plus decoders for proprietary and pre-standard protocols, built to order.

This tool was not designed. It was extracted.

Born inside production UWB work

Built while shipping firmware across 9 hardware platforms during an 8-year partnership inside Qorvo R&D - every module exists because a real debugging problem demanded it, not because a product manager imagined it.

The out-of-band problem, solved

CCC, FiRa, and Aliro negotiate their sessions over BLE or CAN before the first UWB packet - so the sniffer captures that too, with BLE and CAN companions, manual YAML/CLI configuration, and bespoke adapters for proprietary transports. A UWB-only sniffer is blind by design; this one isn't.

Standards-body depth

Active FiRa contributor with 5+ interoperability test events across two continents, UWB Alliance member, and contributing to IEEE 802.15.4ab - which is why the decoders track the spec instead of trailing it.

From your bench into your pipeline

Three form factors on the same firmware - desktop USB for the lab, battery-powered standalone with a touchscreen for the field, and a 1U rack unit with REST API for automated test benches - so the tool follows the product from bring-up to regression.

Four ways to get the sniffer working for you

Hardware and software modules are priced per configuration; professional services are quoted per engagement. Every engagement starts with an NDA and a scoping call.

01

Configure & Deliver

  • Duration:
    Quote within 5 business days · 4-8 weeks to a delivered, tested unit
  • Best for:
    Getting from a technical call to a configured sniffer - application, chipset, protocol target, form factor
  • Deliverable:
    Your configuration built, tested, and delivered with automated tests and documentation

02

Custom Decoder & Integration

  • Duration: 
    Per engagement
  • Best for:
    Proprietary or pre-standard UWB profiles, and wiring the sniffer into your lab, CAN bench, or HIL environment on-site
  • Deliverable:
    A Wireshark dissector and sniffer decoder for your protocol - IP-safe, with full source and test coverage - plus on-site setup, calibration, CI hook-up, and knowledge transfer

03

Training Workshop

  • Duration: 
    2 days, hands-on
  • Best for:
    Getting an engineering team productive on UWB and the sniffer fast
  • Deliverable:
    Day 1 - UWB protocol fundamentals, PHY parameters, sniffer setup, live captures. Day 2 - advanced dissection, STS decryption, Wireshark filters, CI integration exercises.

04

Maintenance & SLA

  • Duration: 
    Annual
  • Best for:
    Teams that need the tool current and supported for the life of the programme
  • Deliverable:
    Firmware updates, new protocol decoder modules as released (FiRa 3.1, 802.15.4ab GA), priority support with guaranteed response times, a dedicated Slack channel, and quarterly roadmap briefings

What's inside

Same firmware and protocol modules across every hardware variant - configure once, deploy where the work is.

Protocols

IEEE 802.15.4a/z (always included)
FiRa
CCC Digital Key
Aliro
omlox
IEEE 802.15.4ab

PHY & capture

Channels 1-9
HRP / EHPRF / LE-UWB
all STS modes (0-3)
PHY scanner / sweep
per-frame CIR

Out-of-band

Manual (YAML / CLI)
custom OoB transports
BLE observer (with provided LTK)
CAN adapter

Decryption

Static STS
key injection for dynamic STS (CCC, Aliro)
STS integrity detection without the key

Form factors

Desktop USB (host-powered, USB-C)
Standalone portable (battery, touchscreen)
Rack-mount 1U (external RF, REST API)

Integration

Wireshark plug-in (Lua/C, live extcap)
REST / Python API
schema-stable JSON · CI/CD & HIL
multi-node TDoA localization
cloud/remote

Case studies

The sniffer's credibility is its origin: it was pulled out of production UWB engineering, not built as a product first.

Qorvo: RF Leadership

Context: Rapid scaling for new chipset bring-up.
  • Scale: Grew from <10 to 30 FTEs.
  • Output: Supported bring-up of 9 new hardware platforms (SDKs, Drivers, Stacks).
  • Retention: Zero-churn core team retained for 5+ years.
Dedicated Development Center for RF Solutions
Bluetooth Mesh Smart Lighting Control System

Smart Lighting: Core R&D Extension

Context: Client needed deep, specialized expertise to pivot from proprietary tech to a new global standard.
  • Service: Deployed a dedicated squad of embedded engineers to function as the client's core R&D team.
  • Output: Co-authored official Bluetooth SIG protocols and delivered the world’s first certified BLE Mesh stack.
  • Value: Enabled the client to secure Series A funding and defined the industry standard for smart buildings.

Creative Werks: Innovation rescue

Context: Hardware obsolescence threatened production shutdown.
  • Action: Full-stack takeover (PCB redesign + Firmware + Mobile App).
  • ROI: 1230% ($1.6M value generated).
  • Speed: Payback period of 2-3 months.
NeedCode-case study - IoT Solution for Boat Lift Modernization - cover2s
needcode-powerpolen-case-study-cover2s

PowerPollen: AgTech automation

Context: Lack of internal expertise stalled a critical automation project.
  • Action: Re-architected system using unified MCU and ISOBUS standards.
  • ROI: 13.8x ($2.9M value generated).
  • Impact: Enabled $1.9M increase in harvester value.

Strategic Partnership

needCode is an official business partner of Qorvo, bringing over 8 years of proven expertise and trusted service to the technology sector.
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Members of the UWB Alliance

In 2025 we became a member of the UWB Alliance. This strategic step reinforces our commitment to pioneering Ultra-Wideband (UWB) technology.

Proudly Certified for Excellence and Security

needCode is officially certified for:
ISO 9001:2015 – Quality Management
ISO/IEC 27001:2022 – Information Security
ISO certifications reflect our focus on delivering reliable IoT solutions, smart product development, and secure technology services.
ISO 9001_2015ISO - IEC 27001_2022

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 Słupik
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

Insights

FAQ

A UWB sniffer is a tool that passively captures, dissects, and decodes IEEE 802.15.4a/z ultra-wideband radio traffic so engineers can see what their ranging and positioning systems are actually transmitting. needCode's Modular UWB Sniffer covers raw PHY capture through protocol-level decode for FiRa, CCC Digital Key, Aliro, and omlox, with Wireshark and CI/CD integration. It is, to our knowledge, the only purpose-built UWB sniffer on the market - no silicon vendor ships one.

Because UWB breaks the assumptions generic tools are built on: there is no carrier to lock onto, so pulses must be correlated against the correct preamble code - the wrong code captures zero frames; ranging frames last 150 µs to 2 ms, so one missed synchronisation event loses the round; and in 802.15.4z, AES-128 scrambles the waveform itself, making the pulses the ciphertext. A tool has to be designed for UWB's physics from the start. That's why teams without one fall back to device logs, oscilloscopes, and guesswork.

IEEE 802.15.4a/z PHY and MAC capture is always included; protocol decoders are added as modules - FiRa (DS-TWR, SS-TWR, OWR for AoA, DL-TDoA/UL-TDoA), CCC Digital Key (dynamic STS, multi-anchor O2M TWR, frame hopping), Aliro with dissector updates as the spec evolves, and omlox for industrial RTLS. An IEEE 802.15.4ab decoder covering MMS ranging, Wake-Up Radio, and SENS packets is on the roadmap. Custom decoders for proprietary or pre-standard profiles are built as a professional service.

Yes, for systems you hold the keys to: static STS mode for testing, key injection for dynamic STS as used by CCC and Aliro, and STS integrity detection even without the key. With keys provided, you see the full waveform and payload rather than just frame headers. It's a debugging and validation capability for your own products - decryption requires the session keys, by design.

CCC, FiRa, and Aliro negotiate session parameters out-of-band before the first UWB packet, so the sniffer observes that exchange too: a BLE companion captures session parameters over the air with a provided LTK, a CAN adapter reads them directly from the vehicle network, parameters can be set manually via YAML/CLI, and bespoke adapters cover proprietary transports. A sniffer that misses the out-of-band exchange is blind from the start - this one is built around it.

Yes - channel, PRF, preamble code, SFD, data rate, STS mode, and preamble length multiply into millions of possible configurations, so the sniffer's smart scan mode sweeps realistic combinations in parallel across multiple probes and locks once traffic is detected. This turns the worst part of UWB debugging - guessing the PHY - into an automated step.

Yes - capture is scriptable via a REST/Python API with automated pass/fail rules and schema-stable JSON output, and the 1U rack-mount variant is designed for automated test benches with external RF connectors. The CCC decoder is HIL-bench-ready, including automatic session-parameter extraction from CAN. On-site integration into your lab or pipeline is available as a professional service.

Three, all running the same firmware and protocol modules: a desktop USB unit powered by the host PC for lab debugging, a battery-powered standalone unit with an on-device touchscreen for field troubleshooting without a laptop, and a 1U rack-mount unit with external RF connectors and a REST API for automated test benches. Modules configured once carry across all of them.

Yes - custom protocol decoders are a standing professional service: a Wireshark dissector and sniffer decoder for vendor-specific frames, custom MAC structures, or non-FiRa session management, delivered with full source and test coverage. The work is IP-safe and starts under NDA. It's how pre-standard and proprietary UWB work gets the same tooling as the public standards.

A configured needCode sniffer is quoted within 5 business days of a scoping call and delivered as a tested unit in 4-8 weeks. Building equivalent tooling in-house typically means 18-24 months with a team of 6-8 RF and protocol engineers - hardware bring-up across transceivers, Wireshark dissectors per protocol, and a restart when 802.15.4ab silicon ships. The difference is a year of engineering payroll converted into time-to-first-capture.

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
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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.