What must be known at the point of work?
Define the movement, condition, identity, handover or decision that creates the business record.
Innovation at Flatorb
For Flatorb, innovation is not novelty for its own sake. It is a better way to capture a physical event, control a workflow, connect trusted information or help a team make the next decision.
Workflow-led engineeringProve value before scaling
Our definition of innovation
A technically impressive idea has limited value if users cannot adopt it, the physical event is captured unreliably or the result cannot connect to the business process.
Flatorb brings operational software, Auto-ID, sensing, integration and AI into one engineering decision. The goal is not to use every technology. The goal is to create a dependable control point with a credible return.
That may mean RFID for automated bulk identification, a barcode for a simple controlled transaction, an IoT sensor for a condition, or AI for an information-heavy workflow where conventional rules are not enough.
From idea to operational platform
OCTO Ops represents a continuing platform direction: capture real-world events accurately, control the workflow around them and share trusted information with other systems.
Use the appropriate interface, barcode, RFID read, sensor signal, GPS event or digital evidence.
Apply status, responsibility, validation, approval and exception rules around the event.
Integrate with ERP, finance, HR, procurement, customer or partner systems as required.
Measure delays, errors, capacity, leakage and adoption before deciding what to automate next.
The questions behind the technology
We use four questions to keep innovation commercially and operationally grounded.
Define the movement, condition, identity, handover or decision that creates the business record.
A barcode may be enough. RFID, IoT or AI should be justified by the operating requirement.
Design the operational platform and integration boundary before automating isolated tasks.
Prove usability, reliability and value in the real environment before scaling.
The engineering principle
“AI when AI makes sense. RFID when RFID makes sense. Barcode when a barcode is enough.”
Innovation delivery
A controlled proof should test the hardest assumptions: physical reliability, workflow fit, integration, user adoption and measurable benefit.
A recognized milestone
In 2015, the predecessor to today’s operational platform received IESL recognition as a Most Innovative Local Product. The value of that milestone is the continuing engineering work that followed it.
Read about the IESL recognition ↗Start with the constraint
Bring us the workflow, failure point and desired result. We’ll help assess the practical technology, proof and integration path.
Discuss the opportunity ↗