Free e-book: IEEE 802.15.4ab vs IEEE 802.15.4z
Free e-book: IEEE 802.15.4ab

Building on Qorvo silicon? We're the team that builds Qorvo's SDK

needCode is a certified Qorvo partner with 30+ engineers embedded in Qorvo R&D across Belgium, France, and Ireland for 8 years - 9 hardware-platform bring-ups, the public QM35 SDK, and our own UWB protocol sniffer tested against the silicon. Whether you're shipping on QM33 or QM35, migrating from legacy DW1000/DW3000, or building multi-protocol products on Qorvo's connectivity SoCs, your project starts where other teams hope to end up: inside the chipset.
needCode IoT

We work with Industry Leaders

Chipset knowledge doesn't come from the datasheet. It comes from years inside it

Every chipset has two documents: the datasheet, and the one nobody publishes - the errata you learn by hitting them, the timing corners that only appear under real radio traffic, the configuration that works in the reference design and fails in yours. Teams new to a chipset pay for that second document in months of schedule; the first ranging demo takes a week, and the next quarter goes to everything the datasheet didn't say.

On Qorvo silicon, needCode already paid that cost - nine platform bring-ups deep, across an 8-year partnership working inside Qorvo R&D itself. We build the QM35 SDK that's public on GitLab, we've shipped products on Qorvo's multi-protocol connectivity SoCs, and when something on the air looks wrong, we capture it with our own UWB sniffer instead of guessing. That's what "one step from the source" means in practice: your questions land somewhere they've usually been answered before.

Inside the silicon

8 years embedded in Qorvo R&D, 9 platform bring-ups - the unpublished errata document, already read.

Publicly verifiable

The QM35 SDK we build for Qorvo is on GitLab - clone the proof before you book the call.

Instrumented

Our own UWB protocol sniffer, developed against Qorvo silicon - when ranging misbehaves, we see why.

The Qorvo silicon we work on

From the current UWB flagships to the legacy parts still shipping in the field - and the multi-protocol SoCs beyond UWB.

QM33 Series

Qorvo's current UWB ranging and AoA platform - the family behind digital key, secure ranging, and precision RTLS designs, including custom tag and anchor hardware we've built on QM33 integration. If your product is being designed on QM33 today, this is the silicon our benches run daily.

QM35 Series

The platform whose SDK needCode builds and maintains publicly - drivers, ranging stack, examples, and release machinery, visible on GitLab. There is no shorter path to QM35 competence than the team that writes its SDK.

Legacy DW1000 / DW3000

The Decawave-heritage parts still carrying thousands of deployed RTLS and ranging products - we support them, and we run the migration path to current-generation silicon without breaking what's in the field. Legacy support and migration is where chipset depth pays twice.

Multi-Protocol Connectivity SoCs

Beyond UWB: Qorvo's connectivity SoCs with ConcurrentConnect™ technology for simultaneous protocol operation - the silicon behind our shipped dual-protocol BLE + Zigbee product work, and the platform story for Matter-era devices.

Not sure which silicon to choose?

Book a discovery call with our CEO

What we build on Qorvo silicon

The full stack of engagements, all of them already exercised on this exact silicon.

Board Bring-Up & Custom Hardware

Getting your custom Qorvo-based board to boot, range, and behave - clocks, power, RF layout review, and antenna integration for tags and anchors - from a team that has done it nine platforms in a row.

SDKs & Application Firmware

From the SDK layer (drivers, ranging stacks, FiRa/CCC sessions) to the application firmware your product ships - the same four-layer discipline behind the public QM35 SDK, applied to your codebase.

Positioning Systems End to End

Complete RTLS on Qorvo silicon - custom QM33-based tags and PoE anchors, ranging algorithms, sensor fusion, deployment, and integration with the systems that run your operation.

Test, Debug & Certification

Protocol-level debugging with our own UWB sniffer, automated test batteries on real Qorvo boards, and the FiRa/CCC certification path - run by a team that attends the interop test events where the spec meets reality.

One step from the source

The team that builds the vendor's SDK

The QM35 SDK is needCode's work, public on GitLab - which means the API conventions, the ranging stack behaviour, and the release discipline you'll build on are ones we wrote.

Eight years inside Qorvo R&D

30+ engineers embedded across Belgium, France, and Ireland - proximity that shows up as answered questions, familiar errata, and a network inside the vendor when something genuinely new appears.

Certified, not self-described

A certified Qorvo partner and UWB Alliance member, active in FiRa with interop test events on two continents - the relationship is on Qorvo's record, not just our website.

Instruments the vendor doesn't ship

Our UWB protocol sniffer was developed and tested against Qorvo silicon across all nine bring-ups - on a Qorvo project, protocol-level visibility isn't a wish, it's on the bench.

Four ways to bring needCode in

From a chipset-level question to a standing team. We match the engagement to where your Qorvo project is.

01

Feasibility & Chipset Consultation

  • Duration:
    2-4 weeks
  • Best for:
    Validating that QM33/QM35 (or a migration from DW1000/DW3000) fits your product - measured on hardware, not promised from the datasheet
  • Deliverable:
    Feasibility assessment on real silicon, architecture recommendation, migration path if applicable, leadership readout

02

Bring-Up & Firmware Build

  • Duration: 
    Phased
  • Best for:
    Custom board bring-up and the SDK/application firmware your product ships on
  • Deliverable:
    Working firmware on your hardware, test harness, documentation, release ownership

03

System Delivery

  • Duration: 
    Phased
  • Best for:
    Complete positioning or digital-key systems on Qorvo silicon - hardware, firmware, deployment, integration
  • Deliverable:
    A deployed, validated system with handover

04

Embedded Team

  • Duration: 
    Multi-year, retainer-based
  • Best for:
    Companies that want standing Qorvo-silicon depth inside their programme
  • Deliverable:
    An embedded team in your cadence - the model that has run inside Qorvo itself for 8 years

What we ship on

The Qorvo stack, end to end - silicon to standards to instruments

Silicon

QM33 series
QM35 series
legacy DW1000 / DW3000
Qorvo multi-protocol connectivity SoCs 

Standards

IEEE 802.15.4z / 4ab
FiRa
CCC Digital Key
Aliro
omlox
Zigbee / Matter

Ranging

DS-TWR / SS-TWR
TDoA (UL/DL)
AoA
dynamic STS
multi-anchor sessions

RTOS & platforms

Zephyr
FreeRTOS
ThreadX
bare-metal

Hardware

Custom QM33-based tags
PoE anchors
antenna integration
low-power design

Tooling

UWB Protocol Sniffer (in-house, Qorvo-proven)
board-matrix CI
HIL rigs
Wireshark dissectors

Case studies

On this page, the evidence isn't transferable-competence framing - it's direct.

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.
qorvo-logo-banner
UWB-Alliance-logo-banner

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

Yes - QM33 and QM35 are needCode's home silicon: we're a certified Qorvo partner with 9 hardware-platform bring-ups, and we build the QM35 SDK that Qorvo publishes on GitLab. Engagements span custom board bring-up, SDK and application firmware, FiRa and CCC session stacks, and complete positioning systems on QM33-based hardware. There is no shorter path to this silicon than the team that writes its SDK.

Yes - needCode supports the Decawave-heritage DW1000 and DW3000 parts still shipping in deployed products, and runs the migration path to current-generation QM33/QM35 silicon without breaking what's in the field. Migration covers firmware porting, ranging-behaviour validation against the legacy system, and a staged rollout plan. Legacy depth is chipset knowledge paying twice.

needCode is a certified Qorvo partner with 30+ engineers embedded in Qorvo R&D across Belgium, France, and Ireland over an 8-year partnership - including 9 hardware-platform bring-ups and building the publicly available QM35 SDK. The relationship is documented in a public case study and on Qorvo's partner record. It means your Qorvo questions land somewhere they've usually been answered before.

Yes - custom board bring-up is a core engagement: clocks, power domains, RF layout review, antenna integration, and getting first ranging on your hardware, backed by nine consecutive Qorvo platform bring-ups. We also design custom hardware ourselves - miniaturised QM33-based tags and PoE anchors - so the review comes from a team that ships boards, not just firmware.

Yes - needCode implements FiRa and CCC Digital Key session stacks on Qorvo silicon and supports the certification path through pre-certification testing and conformity preparation, as an active FiRa contributor with interoperability test events on two continents. Certification is handled with our Standards & Certification service; this page's depth is what makes the stack certifiable in the first place.

Yes - beyond UWB, needCode has shipped product firmware on Qorvo connectivity SoCs with ConcurrentConnect™ technology, including a dual-protocol BLE + Zigbee remote control documented in a public case study. That platform story extends naturally to Matter-era devices. Multi-protocol coexistence is a dedicated needCode competence, not a side effect.

With our own instrument: needCode's UWB Protocol Sniffer was developed and tested against Qorvo silicon across all nine bring-ups, capturing and dissecting live 802.15.4a/z traffic with FiRa and CCC decoders. When ranging misbehaves, we see the frames instead of guessing from device logs. No silicon vendor ships an equivalent tool.

Faster than chipset-new teams, because the learning curve is already behind us: a feasibility consultation delivers measured results on real silicon in 2-4 weeks, and bring-up or firmware engagements start from working knowledge of the errata, timing corners, and reference-design gaps. The months teams normally spend discovering a chipset's unpublished behaviour are the months this partnership saves.

It depends on your product's ranging requirements, AoA needs, certification targets, and field-installed base - which is why the honest answer is a measured feasibility assessment rather than a blanket recommendation. As the team building on both generations daily, needCode advises from hardware results, and a staged migration often beats both extremes. The 2-4 week consultation exists exactly for this decision.

Yes - needCode works across UWB and wireless silicon per engagement, and chipset pages for other vendors are part of this cluster. The Qorvo relationship is our deepest and it's publicly documented, but engagements are scoped to your product's silicon, not to our partnerships. If you're mid-selection, the feasibility consultation compares candidates on measured behaviour.

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
© 2026 needCode. All rights reserved.

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.