Yojee Limited has successfully completed the Customer BETA Program for its MOSAIC platform, with real-world testing revealing no major defects or structural concerns. The Yojee MOSAIC Platform BETA Completion marks a critical validation milestone for the logistics technology provider (ASX: YOJ), confirming the platform’s readiness for commercial launch in H2 FY26.
The BETA program involved a select group of Australian freight forwarders and customs brokers performing real-world use-case testing across Export Airfreight workflows. Operators successfully entered a minimum of 10 real-world jobs into their respective databases, with the platform satisfying all core requirements to complete jobs without material defect.
Yojee validates MOSAIC platform with zero major defects in real-world testing
The Customer BETA Program was designed to validate platform robustness in real-world operating environments while gathering structured user feedback ahead of commercial release. Direct observation of operators provided meaningful insights into workflow efficiency, de-risking the commercial launch timeline and validating the core technology investment.
Three key milestones were successfully achieved during the BETA phase:
- Workflow Execution: Operators successfully entered a minimum of 10 real-world jobs into their respective databases
- Regulatory Integration: Successful bi-directional messaging with Australian Customs (ICS), including sending Export Declarations (EDNs) and receiving responses
- Industry Messaging: Full validation of Air Waybill (AWB) messaging and Airline response cycles
| Validation Area | What Was Tested | Result |
|---|---|---|
| Workflow Execution | Real-world job entry | Minimum 10 jobs per operator completed |
| Regulatory Integration | Australian Customs (ICS) messaging | Bi-directional EDN communication successful |
| Industry Messaging | Air Waybill cycles | Full airline response validation achieved |
What the BETA program tested
The BETA program involved Export Airfreight workflows, with validation across three pillars: job entry, customs messaging, and airline responses. Export Declarations (EDNs) were sent and responses received, demonstrating successful regulatory integration. AWB messaging cycles were fully validated, with direct operator observation informing targeted user experience improvements.
The company has identified specific UX refinements to further streamline the interface. Further iteration is currently underway to optimise these workflows, ensuring the platform is not only fast but intuitive for experienced operators transitioning from legacy systems.
What is Agentic AI and why does it matter for logistics?
Agentic AI refers to autonomous software that can make decisions and take actions without constant human input. Unlike traditional automation, which follows pre-programmed rules, Agentic AI can identify problems, suggest solutions, and act proactively based on context and learned patterns.
This matters for freight operations because it reduces manual data entry, catches errors before they cause delays, and improves decision-making speed. Agentic AI represents the next evolution beyond simple automation, with companies that successfully deploy it able to capture efficiency gains competitors cannot replicate easily. For logistics providers managing complex workflows across multiple systems, this technology addresses the persistent challenge of manual oversight and reactive problem-solving.
“Tess” evolves from document reader to proactive decision support
A primary objective of the BETA was to monitor operator engagement to identify friction points where manual oversight still dominates. This feedback is now driving the development of “Tess”, the platform’s AI assistant. The company’s vision for Tess is to move beyond simple document ingestion into Agentic AI capabilities.
Three capability pathways have been prioritised following BETA feedback:
- Automated Data Cleansing: Utilising AI to identify and correct inconsistencies during job creation to reduce manual verification
- Exception Management: Developing intelligent guidance to flag potential supply chain blocks before they impact operations
- Decision Support: Empowering operators with intelligent data assistance to improve revenue capture and cost control
The BETA’s primary value was not just platform validation but identifying the AI development priorities that could differentiate MOSAIC in the market. This strategic evolution positions Tess as a proactive operational assistant rather than a passive document processor.
From reactive to proactive operations
The shift represents a move from manual data entry toward a “decision-first” model. Rather than operators identifying issues after they occur, the goal is to flag supply chain blocks before they impact operations. This positions MOSAIC to challenge established workflows across the freight forwarding and customs broker sectors, with potential industry disruption implications if successfully deployed at scale.
Commercial pathway and early interest from BETA participants
Yojee remains on track for the commercial release of MOSAIC in H2 FY26. Several #BePartOfSomething program participants have expressed interest in progressing to commercial engagement, with discussions ongoing. The company has stated that no material revenue has been recognised from the BETA program, maintaining transparency on the current stage of commercialisation.
While revenue conversion remains the key milestone to watch, the high engagement levels during testing provide encouraging indicators ahead of the commercial rollout. Early commercial interest from BETA participants suggests potential pipeline development, though investors should assess conversion rates as the platform transitions from testing to paid deployments.
UX refinements underway
While the core infrastructure proved robust during testing, the company identified targeted user experience refinements during the BETA phase. The focus remains on ensuring an intuitive transition for operators moving from legacy systems. This is framed as ongoing iteration rather than a structural concern, with improvements designed to enhance productivity for experienced operators processing real jobs.
CEO frames MOSAIC as challenge to legacy systems
Mark Connell, Chief Executive Officer of Yojee, positioned the BETA completion as a material step toward the company’s broader vision.
Mark Connell, CEO of Yojee
“Our vision is to deliver a global, disruptive, AI-enabled freight and customs platform that challenges legacy systems and thinking. The successful BETA program brings us materially closer to that objective.”
Management is positioning MOSAIC not as incremental improvement but as category disruption. Connell stated the platform has been “validated under real-world operating conditions without material defect”, with insights from watching experienced operators process real jobs allowing the company to “prioritise our AI roadmap”. The company aims to move the industry “away from manual data entry toward a more proactive, decision-first model”.
Investors should assess whether the company has the resources and market access to execute on this ambitious vision, particularly as it transitions from successful testing to commercial deployment and revenue generation.
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