Portuguese technology company C-MORE has unveiled ALMA, an artificial intelligence agent it says has been designed to avoid the kind of “hallucinations” that can undermine generative AI in corporate compliance and sustainability work.
The system has been built to audit suppliers and monitor supply chains continuously, with the company claiming it can cut a validation process that would normally take about 35 hours to roughly one hour of assisted work. Rather than behaving l...
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According to DN/Dinheiro Vivo, the tool is part of a broader response to what C-MORE calls the “questionnaire economy”: a heavy, manual burden of duplicated forms, repeated evidence requests and labour-intensive due diligence that acts as an operating tax on businesses. The company says evaluating a single supplier can require two to four hours of specialist work, at hourly costs it puts at between €75 and €110, while annual third-party risk classifications can range from €275 to €1,400 per entity. It adds that under the EU’s Corporate Sustainability Reporting Directive, as much as 30% to 40% of compliance budgets can be consumed by data collection alone.
C-MORE, which was co-founded by Carina Abreu and Carolina Almeida Cruz, says the timing of the product reflects mounting regulatory pressure in Europe, particularly from the CSRD and the EU Artificial Intelligence Act. Ms Almeida Cruz told DN/Dinheiro Vivo that the central idea is not to use large language models as a black box making autonomous decisions, but to anchor the system in an evidence-first architecture that can explain how each conclusion was reached.
“In the absence of sufficient evidence, the system explicitly flags that limitation rather than filling the gaps with assumptions, thereby avoiding hallucinations,” she said in an email response to the newspaper.
The company says that, in tests covering more than 3,500 entities and 1.3 million dated observations, ALMA identifies the precise source behind each answer, including the original document, the date and the specific passage supporting the finding, while also assigning a granular confidence score. It presents the tool as a way of easing pressure on finance and compliance teams by reducing repetitive verification work and freeing staff for higher-value decisions.
Ms Almeida Cruz also stressed that the platform is intentionally modular, combining C-MORE’s own data orchestration, evidence retrieval, risk rules and traceability layers with different language models selected according to the use case, performance needs and privacy constraints of each client. The company says all data is handled in access-controlled environments with client segregation and encryption, and that its cloud infrastructure is based in the European Union.
The CEO also sought to distance ALMA from the idea of autonomous decision-making. She said C-MORE had built the product from the outset with human oversight, transparency over limitations, traceability and mechanisms for review and challenge, describing it as a decision-support tool rather than a system that determines supplier or contract outcomes on its own. That positioning is clearly intended to align the product with the EU AI Act, which places increasing emphasis on governance, accountability and human supervision.
C-MORE says its own wider compliance culture is reflected in its ethics and conduct framework, as well as a whistleblowing channel for reporting misconduct confidentially and anonymously. The company markets a broader ESG software platform aimed at helping organisations assess, monitor, manage and report on sustainability risks and performance in line with EU legislation and major ESG frameworks.
For C-MORE, ALMA is being introduced into a market where AI adoption is still tempered by fear of error, but where regulatory scrutiny is making accuracy, traceability and governance non-negotiable. The company’s pitch is that the value of the product lies not in replacing professional judgement, but in reducing the administrative drag that surrounds it.
Source: Noah Wire Services



