Founded by Rudi Dökmecioğlu, with Sina Afra as a co-founder, lumaq develops enterprise software with artificial intelligence agents for regulated industries, particularly banking, insurance, telecommunications and the public sector. The platform generates specifications, architectural plans and work orders from institutional requirements and existing systems; the agents write and test code accordingly. The code produced is linked to the requirements, actions are added to an audit trail, and human approval is required for each release. lumaq can modernize legacy systems or develop new ones; it operates in in-house data centers, private clouds and environments isolated from the internet. The company states that data does not leave the organization and that it complies with SOC 2 Type II, ISO 27001, ISO 42001 and GDPR.
Why it matters
In the areas targeted by lumaq, software errors may result not only in technical problems but also in consequences related to audits, data security and regulatory compliance. For this reason, linking the production process to requirements, making operations traceable and mandating human approval offers a framework for how software prepared by artificial intelligence can be incorporated into the chain of institutional accountability. The ability to operate within organizations or in environments isolated from the internet expands the conditions for use, particularly for banks, insurance companies, telecommunications operators and public institutions that do not want to transfer their data to external systems. However, the report does not explain how the certifications and data policies cited by the company will affect the pace and cost of modernization in different organizations’ existing infrastructures, or the workload imposed by human oversight.