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BLE Mesh that holds at a thousand nodes, not just ten

needCode builds production BLE Mesh networks that work at scale — provisioning, OTA across thousands of nodes, and network management — not the ten-node demo that falls over in the field. From the team that co-authored the Bluetooth SIG mesh specifications and delivered the world's first certified BLE Mesh stack, proven at 1,000 nodes with 99.9% delivery.
needCode IoT

We work with Industry Leaders

A ten-node mesh demo proves nothing about a thousand-node building

Mesh looks easy at small scale. A handful of nodes relay reliably, the demo impresses, and the protocol does what the datasheet said. Then the network grows, and a different category of problem appears: provisioning thousands of nodes without a week of manual work per floor, pushing firmware across the whole network without taking it offline, holding delivery and latency as relays multiply, and keeping it all alive when individual nodes drop. None of this shows up at ten nodes - and all of it decides whether a real deployment ships.

This is precisely the territory needCode has lived in. Our engineers co-authored the Bluetooth SIG mesh specifications and built the world's first certified BLE Mesh stack - proven in deployment at 1,000 nodes, 99.9% delivery, sub-100ms latency. Mesh at scale isn't a capability we're ramping into; it's one we helped define, with shipped networks behind the claim rather than a reference design.

Proven at 1,000 nodes

99.9% delivery, sub-100ms latency - measured in a real deployment, at the scale where mesh actually gets hard.

We co-wrote the spec

Bluetooth SIG mesh specification co-authors, and the team behind the world's first certified BLE Mesh stack

Built for the field

Provisioning, OTA, and network management engineered for thousands of real nodes, not a bench full of dev kits

What production mesh at scale takes

Four things separate a network that holds at a thousand nodes from a demo that works at ten. needCode builds all four.

Provisioning at Scale

Onboarding thousands of nodes into one secure network - fast enough that commissioning a building isn't a week of manual work per floor, and reliable enough that nodes don't silently fail to join. It's the first thing that breaks when a demo becomes a deployment, and needCode builds it to scale to the node count a real site demands.

OTA Across the Network

Firmware updates pushed across thousands of nodes without taking the network offline - staged, verified, and recoverable, so a bad rollout can't brick a building. OTA at mesh scale is hard because the network has to keep running while it updates itself, and needCode designs it to keep a deployed mesh maintainable for its whole life.

Network Management & Reliability

Holding 99.9% delivery and low latency as the node count climbs - with monitoring, self-healing topology, and the relay behaviour that keeps packets moving when individual nodes drop. Reliability at scale is an emergent property of the whole network, so needCode engineers, observes, and tunes it in the real environment, not just at one node.

Mesh Firmware & Stack

The certified BLE Mesh stack, the mesh models, and the connection firmware beneath them - built to the Bluetooth SIG specification by the team that co-authored it. It's the foundation everything else rests on, and needCode brings both the certified stack and the depth to extend it for product-specific models and behaviour.

Scaling a mesh from pilot to building?

Book a discovery call with our CEO

Where mesh at scale deploys

The same scaled mesh adapts to very different networks. needCode tunes it to the environment, the node count, and the power budget of each.

Smart Buildings & Lighting

Connected lighting and building control at the scale of a whole building or campus - thousands of luminaires, sensors, and switches on one self-healing network. This is the original BLE Mesh application and the domain where needCode's Silvair work helped define the category, and where reliability and provisioning are tested hardest.

Industrial Sensor Networks

Large-scale sensor and actuator networks across a facility - condition monitoring, environmental sensing, and control, often on battery-powered nodes expected to run for years. Industrial sites add interference, distance, and harsh conditions to the scale problem, so needCode tunes both the mesh behaviour and the node power budget.

Commercial IoT

Retail, hospitality, and campus networks with thousands of endpoints, managed as a single estate across many sites. These deployments live or die on commissioning speed and remote manageability, so needCode builds for the operator running the estate at scale, not just the flagship venue.

Mesh + RTLS

BLE Mesh as the coordination and backhaul layer beneath a UWB real-time location system - carrying data and commands while UWB handles precise position. Pairing the two lets one infrastructure serve both connectivity and location, and needCode builds both layers and the coexistence between them.

Why teams build mesh at scale with needCode

We co-authored the mesh spec

needCode's engineers contribute to the official Bluetooth SIG mesh specifications - so your network is built to the standard by people who helped write it, not interpreted from a document by a team meeting it for the first time. That difference surfaces in the corner cases, where deep spec knowledge separates a network that holds from one that mostly works.

The world's first certified BLE Mesh stack

needCode delivered the world's first certified BLE Mesh stack, proven in deployment at 1,000 nodes with 99.9% delivery and sub-100ms latency. Mesh-at-scale here isn't a capability being ramped - it's one needCode helped establish, with a shipped network behind every figure.

Provisioning and OTA that survive scale

The operations that quietly break most mesh deployments - onboarding thousands of nodes, then updating them in the field - are treated here as first-class engineering problems, not afterthoughts. needCode has solved them at the node counts where the naive approach falls apart, which is the depth that decides whether a deployment stays maintainable.

Full lifecycle, embedded

needCode can embed a dedicated squad as your mesh R&D team - the model behind the Silvair engagement - across design, deployment, and the long life of the network. That continuity means the team that architected the mesh is the team that scales and maintains it.

Four ways to bring needCode in

From a feasibility check to a long-term partnership. We match the engagement to where the network is.

01

Mesh Audit & Feasibility

  • Duration:
    2–4 weeks
  • Best for:
    Assessing an existing mesh design or a scale plan before committing to a full build
  • Deliverable:
    Audit, scale assessment, risk list, leadership readout

02

Mesh Design & Build

  • Duration: 
    Phased
  • Best for:
    Building provisioning, OTA, network management, and the stack on target silicon
  • Deliverable:
    A working mesh system on representative hardware

03

Scale-Up & OTA

  • Duration: 
    Phased
  • Best for:
    Moving from a pilot zone to a full building or site, with network-wide updates
  • Deliverable:
    Scaled deployment, network-wide OTA, reliability hardening

04

Long-Term Team

  • Duration: 
    Multi-year, retainer-based
  • Best for:
    Product teams who want needCode as their embedded mesh R&D across the lifecycle
  • Deliverable:
    The Silvair model - a dedicated team in your cadence

What we ship on

We pick the silicon and stack that match your network, its scale, and its power budget.

Mesh

BLE Mesh (certified stack)
provisioning
network-wide OTA
network management
mesh models

Silicon

Nordic nRF52 / nRF54
NXP
Silicon Labs
Espressif

Stack & standards

BLE 5.4 / 6.0
PAwR
Bluetooth SIG

Operations

Monitoring
self-healing topology
cloud integration
low-power (battery mesh nodes)

Case studies

The proof for mesh at scale is a real network, at real node count, that holds in production.

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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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 - needCode has delivered BLE Mesh proven at 1,000 nodes with 99.9% delivery and sub-100ms latency, built by the team that co-authored the Bluetooth SIG mesh specifications. Scale is exactly where mesh engineering gets hard, and it is what needCode is built for. Smaller networks are straightforward by comparison.

needCode builds provisioning that onboards thousands of nodes reliably and quickly, so a pilot becomes a full building without a manual node-by-node nightmare. Provisioning at scale is one of the operations that quietly breaks mesh deployments. It is engineered as a first-class part of the network, not an afterthought.

Yes - needCode implements firmware updates pushed across thousands of nodes without bringing the network down, staged and recoverable so a bad rollout can't brick a building. Network-wide OTA is hard precisely because the network has to keep running during it. It is core to how needCode designs mesh for the field.

needCode's certified BLE Mesh stack has been proven at 1,000 nodes with 99.9% delivery and sub-100ms latency, with real-world figures depending on topology, density, and traffic. These are measured outcomes from a shipped deployment, not bench estimates. The achievable numbers for a specific network are validated as it is designed.

Yes - needCode's team co-authored the official Bluetooth SIG mesh specifications and delivered the world's first certified BLE Mesh stack. That is both standards authorship and a first-of-its-kind certification track record. Few teams can claim either, let alone both.

The most common uses are connected lighting and smart-building control, large industrial sensor and actuator networks, and commercial IoT across retail, hospitality, and campuses. Connected lighting is the original and best-proven application. needCode also pairs mesh with RTLS as a coordination and backhaul layer.

A small mesh is mostly the stack working; a large mesh is provisioning, OTA, and reliability holding across thousands of nodes, which is a different and harder problem. needCode focuses on the scale where those operations decide success or failure. For a small network the stack alone may be enough, and needCode will say so.

Yes - needCode deploys BLE Mesh as a coordination and backhaul layer over a UWB RTLS location system, and builds multi-protocol coexistence where a product needs both. The mesh and the location layers are designed to work together rather than interfere. This suits sites that need both connectivity and precise location.

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.