Technology delivery agency based in Rabat, MoroccoNorth African teams 路 Global client delivery
馃嚘馃嚭 Construction Technology project for Australia

Tender and Bid Management Platform

TeamLinko designs and delivers this project for Australian businesses and digital product teams with guidance for Australian Privacy Principles, accessibility, and local operational workflows.

18 to 26 weeksIndicative first release
A$ 145,000 to A$ 220,000Indicative project range
5 specialistsSuggested core team
馃嚘馃嚭 AustraliaLocalized market version

Project objective

Digital construction systems for plans, sites, commercial management, compliance, and portfolio control.

馃嚘馃嚭 Australia delivery context: Australian English and planned AEST collaboration windows. The delivery plan considers AEST and AEDT collaboration and Australian Privacy Principles, accessibility, and local operational workflows.

Suggested product capabilities

01 路 Project, company, role, and access managementConfigured specifically for the Tender and Bid Management Platform workflows, users, and data model.
02 路 Plans, documents, field records, and approvalsConfigured specifically for the Tender and Bid Management Platform workflows, users, and data model.
03 路 Commercial, schedule, or compliance workflowsConfigured specifically for the Tender and Bid Management Platform workflows, users, and data model.
04 路 Dashboards, exports, audit, and client reportingConfigured specifically for the Tender and Bid Management Platform workflows, users, and data model.

Suggested North African project team

IT

Ines T*****

Senior Product Designer 路 7 years
Figma 路 UX Research 路 Design Systems
NH

Nour H*****

Data and Analytics Engineer 路 8 years
Power BI 路 Microsoft Fabric 路 Python
AH

Amir H*****

Delivery and Project Controls Lead 路 10 years
Program Delivery 路 Primavera P6 路 Power BI
SB

Salma B*****

Construction Technology Engineer 路 7 years
BIM 路 Revit 路 Autodesk Platform
HA

Hajar A*****

Senior AI and Document Intelligence Engineer 路 7 years
Python 路 FastAPI 路 Azure OpenAI