Fuzzy Knowledge Engineering

Computers should make your life easier instead of harder. AI is not just about data, but about intelligence—storing and extending human knowledge with computers.

Anexact’s expert systems encode your firm’s knowledge so that computers can make decisions using the same logic your employees do.

This saves valuable time for specialists and top managers, and helps out less experienced employees to ensure consistent quality.

Bringing Ideas From Engineering To Manage Knowledge In Organizations

Our CEO is Kennedy Umeji, who has 13 years of experience in Nigeria’s oil & gas industry. He has a Masters degree in Petroleum & Gas Engineering from University of Port Harcourt Rivers State, and has performed various roles at Chevron Nigeria ranging from gas plant process operator to operations team lead.

Much of real-world engineering runs using fuzzy logic, from humble rice-cookers to medical software, and we think it’s time to bring this technology to decision-making in management.

Often we have to ask “how big is big?”, and fuzzy logic gives a way to incorporate qualitative thresholds into data-driven decisions, to better reflect the messy realities of real-life reasoning in business.

Building fuzzy expert systems for business operations that require approximate reasoning

Expert systems encode the rules of thumb that experts use every day, creating a database of facts and rules. Using this knowledge base, a computer can make judgments the same way an expert does. Training a new recruit means teaching them various rules and exceptions, which can be done just as well to a computer. Then the computer can handle the boilerplate, while ambiguous cases can be left to humans.

Automation

Flexible and intuitive software platform that integrates seamlessly with firms’ existing IT infrastructure.
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Tacit Knowledge

Make it easier to include subjective knowledge such as expert knowledge or consumer survey results, alongside more objective numerical measurements.
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Literate Programming

Expert systems reduce barriers between coders and experts by allowing human-readable code.
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