01
Start with the work people actually do
A business needs a clearer view of information, a workflow that works, or a product people can use. Our first conversation looks at the current process, its users, the available data, and where the friction sits. Understanding that context comes before choosing the technology.
02
Support that meets different contexts
Data Sorcerers reports supporting 15 MSMEs in Indonesia, three medium enterprises in Singapore, and five private companies in Indonesia. These are business-support counts, not a claim that every organization purchased the same service or achieved the same result. Incubation support is reported separately on our Impact page.
03
From an initial question to a shared scope
Together, we identify the users, constraints, information sources, and outcome worth pursuing. That discussion shapes a focused discovery, prototype, integration, or product build. The approach depends on the problem and the readiness of the data.
- Intelligence platforms for monitoring, analysis, and decisions.
- Applied AI products and LLM integration for specific workflows.
- Learning and certification through Pyronyx Academy and Pyronyx Certification.
04
Make progress visible
A useful delivery plan makes responsibilities, review points, and acceptance criteria clear. We discuss what success means before treating a technical metric as a business result. Documentation and handover matter because people need to understand how a solution fits their work.
05
A relevant conversation before a reference
Tell us your industry and the challenge you are exploring. We can discuss relevant experience and whether a customer reference can be shared with permission. Customer identities and private project details stay with the people and organizations they belong to.