How Kanaan Mapped a Plan to 98% Accuracy in Jewelry Authentication with Industrial AI Workshops

This device would become the cornerstone of the Gold Guard Network, an ecosystem designed to bring end-to-end traceability to precious metals, from initial enrollment and ownership verification to alteration tracking and resale which would create a new benchmark for anti-counterfeiting across the Middle East’s gold market.

98% accuracy was the gateway to secure funding, but also the hardest barriers to cross

For Kanaan, accuracy was the key to securing investor funding and entering the market. They needed a prototype that could authenticate jewelry with at least 98% accuracy to satisfy investor requirements.

Achieving this precision, however, is not an easy task for phase one solution. The requirement of reaching 98% meant that they need to be as prepared as possible, have a clear plan of development with no surprises that can arise from improvisation, and the best team on the project. Time was of the essence here and they needed to find a technology partner who would have knowledge and skills fast.

Kanaan chose DAC.digital to prepare a realistic, investor-ready plan of product development

DAC.digital was selected for its proven track record in AI quality control, edge AI systems, and sensor fusion, with experience of building hardware that’s ready to hit the market (like d_box). Kanaan needed a structured process to develop their jewelry authentication solution and convince investors to fund the development phase.

The partnership started with an industrial AI workshop that resulted in a clear action plan

In just three days, Kanaan used DAC.digital’s Industrial AI Workshop to move from bold concept to a concrete action plan. These workshops are designed for companies building complex, high-stakes technologies, where AI, hardware, and business goals must align before development begins.

Unlike standard AI consultations, the Industrial AI Workshop combines system architecture design, lab validation, and compliance planning into one focused process. The outcome is a de-risked, step-by-step roadmap that connects technical feasibility with business value and gives innovators like Kanaan a plan investors can trust.

Online sessions unified business vision, KPIs, and technical goals

The workshop opened with a six-hour remote session that set the foundation for everything that followed. Together, Kanaan’s leadership and DAC’s engineering and AI experts aligned on what “success” truly meant: achieving 98% authentication accuracy, maintaining sub-5-second latency, and ensuring compliance with UAE data sovereignty and FANR certification requirements.

These discussions produced an executive brief outlining optical capture priorities, initial architecture assumptions, and measurable KPIs. This shared reference became the decision-making compass for the on-site sessions.

On-site lab sessions translated theory into proven feasibility

At DAC’s Gdańsk lab, discussions gave way to experiments. Optical benches replaced whiteboards as the teams tested cross-polarized and coaxial lighting setups, defined fixed standoff geometry, and evaluated ring and sector lighting configurations to handle the reflective complexity of gold and gemstones.

This hands-on work validated capture repeatability and established the optimal imaging setup which was a critical milestone before hardware fabrication. The lab sessions also produced a working capture protocol, enabling immediate data collection for the first 2–3k jewelry and bullion scans.

Early data acquisition was a strategic win: it allowed the AI team to begin training and benchmarking models in parallel with hardware and firmware design, accelerating progress toward their aim.

The workshop concluded with a phased plan and controlled risks

With feasibility proven, Kanaan and DAC froze the Phase-1 scope for the device and identified and mitigated major risks:

• Specular glare and operator variance that was solved via cross-polarized lighting, IMU-gated capture, and automated quality scoring;
• Edge latency which was mitigated with model quantization and acceleration.
• False matches were addressed with biometric-style thresholds and re-enrollment protocols.

Kanaan now has an investor-ready documentation and a roadmap

In just three days, Kanaan gained a precise understanding of what to build, how long it would take, and how to get there. By combining technical expertise with structured business alignment, DAC.digital helped Kanaan lay the foundation for a market-ready AI authenticator that could redefine quality control in the gold industry.

This process highlighted what every innovator can achieve with the right guidance: a clear path from concept to execution, informed by experts who know how to turn complex, high-stakes technologies into products that could revolutionize the market. A structured workshop gave innovators the confidence, alignment, and momentum to lead their market forward.

The company is set to lead a new era of authenticity in gold

With the Industrial AI Workshop complete, Kanaan is now ready to begin the development phase and get a working prototype of their tool.

It was recommended that a dedicated cross-functional team composed of seven roles that could drive the execution. Each role was defined with clear ownership to maintain pace and quality, and could come from DAC.digital’s team if the client wished for it.

The roles for project execution of jewelry authenticator:

• Project Lead – Keeps hardware, AI, and compliance workstreams aligned with investor and regulatory goals, ensuring the PoC delivers measurable milestones on time and within scope.
• Hardware Designer – Builds the electronic heart of the authenticator, ensuring stable, manufacturable hardware that integrates imaging and sensing components without performance loss.
• Embedded Systems Engineer – Connects hardware and AI by writing reliable firmware for camera, lighting, and sensors, enabling consistent, repeatable image capture critical to accuracy.
• Machine Learning Engineer – Develops the AI model that identifies each item’s unique fingerprint, directly driving the PoC’s 98% accuracy target and technical differentiation.
• Backend Engineer – Creates the secure Digital Vault that stores and verifies authenticity data, ensuring traceability and compliance with UAE data residency rules.
• Frontend Engineer – Delivers intuitive dashboards and demo interfaces that make the technology tangible for investors and end users, turning complex validation into clear results.
• MLOps Engineer – Automates builds, deployments, and model updates, enabling rapid iteration and ensuring the AI system remains reliable and auditable throughout development.