Blockchain & IoT

Blockchain and IoT solutions designed for traceability and trust.

Cybzilla designs blockchain and IoT solutions that capture reliable data from the physical world, share it securely between parties, and turn it into usable insight.

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Connected, verifiable systems that solve real problems

Blockchain and IoT are most valuable when they answer a specific question: where is this shipment, has this record been changed, is this machine about to fail. Cybzilla starts from that question and designs the simplest architecture that answers it, using blockchain only where shared, tamper-evident records add real value.

Our work spans IoT device connectivity and data platforms, edge processing, smart contracts and distributed ledgers, and the security reviews both technologies need. Solutions connect to your existing ERP, analytics, and operations systems rather than becoming another silo.

Challenges we solve

  • No visibility across the supply chainPartners keep separate records, so proving origin, custody, or compliance means chasing paperwork.
  • Equipment data that goes unusedMachines and sensors generate data, but it is not collected, analyzed, or connected to maintenance decisions.
  • Pilots without a business caseEarlier blockchain or IoT experiments proved the technology but never showed a return.
  • New security risksConnected devices and smart contracts introduce attack surfaces that standard security reviews miss.

What we deliver

Blockchain solutions

Design and build smart contracts, permissioned ledgers, and integrations where shared, tamper-evident records add real value.

IoT platforms

Architect device connectivity, data ingestion, edge processing, and cloud platforms for connected products and operations.

Traceability and analytics

Track assets and goods across supply chains and analyze device data for monitoring, maintenance, and operational decisions.

How we work

  1. Define the use case

    Agree the business question, the participants, and how success will be measured, and confirm blockchain or IoT is the right fit.

  2. Design the architecture

    Choose devices, connectivity, edge and cloud components, and ledger technology, and design how data flows into existing systems.

  3. Build and pilot

    Develop device integration, the data platform, smart contracts, and dashboards, and pilot with a limited set of sites, assets, or partners.

  4. Secure and audit

    Review device security, firmware updates, key management, and smart contract code before scaling.

  5. Scale and operate

    Roll out to more assets and partners with monitoring, device management, and analytics that improve over time.

Technologies and platforms

IoT platforms
AWS IoT Core, Azure IoT Hub, MQTT, edge gateways, industrial protocols such as OPC UA and Modbus
Data and analytics
Time-series databases, stream processing, digital twins, predictive maintenance models
Blockchain
Ethereum and EVM-compatible networks, Hyperledger Fabric, Polygon, Solidity
Security
Device identity and certificates, secure boot, over-the-air updates, smart contract audits

Not sure where to start?

Most engagements begin with a short, scoped assessment that gives you a clear picture of where you stand, a prioritized plan, and an estimate for the next step.

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Blockchain and IoT questions

When is blockchain the right choice?

Blockchain fits when multiple parties need a shared, tamper-evident record without relying on a single owner. Cybzilla assesses whether it is the right fit before building.

How does Cybzilla approach IoT security?

Device identity, encrypted communication, secure updates, and security audits are designed into IoT architectures from the start.

Which blockchain platforms do you work with?

We work with Ethereum and EVM-compatible networks such as Polygon for public or partner-facing use cases, and Hyperledger Fabric for permissioned networks where participants are known.

Can you connect our existing machines and sensors?

Usually, yes. We connect equipment through industrial protocols and edge gateways, or retrofit sensors where machines have none, and stream the data securely to the cloud.

What is predictive maintenance?

Predictive maintenance uses sensor data such as vibration, temperature, and power draw to spot early signs of failure, so maintenance is scheduled before a breakdown rather than after it.

Do you audit smart contracts?

Yes. Smart contract reviews combine automated analysis with manual code review to find vulnerabilities and logic errors before contracts are deployed.