redpumpkin.AIpublic

Kuningan Timur, Indonesia · 51-200 employees · redpumpkin.ai

Redpumpkin designs, evaluates, and deploys production AI systems, from model selection and retrieval architecture to agent orchestration, guardrails, and deployment. We work with companies that have moved beyond AI curiosity. The question is no longer whether a model can answer a prompt. The question is whether the system can retrieve the right context, follow the right business rules, handle edge cases, integrate with existing tools, and produce outputs that real teams can act on. We are an AI advisory and engineering partner. Traditional consultants stop at the roadmap. Development agencies start building before the problem is proven. Single-model vendors recommend the model they sell. Redpumpkin sits in the harder middle: deciding what should be built, proving it on the client’s data, then engineering the system around the model so it works in production. Every engagement starts from the same assumption: the model is only one part of the work. The real engineering lives in the retrieval layer, the evaluation harness, the workflow orchestration, the guardrails, the integration path, and the monitoring loop that make AI reliable after launch. Our work spans three layers: Decision: use-case selection, feasibility assessment, model benchmarking, architecture direction, and the evidence needed to decide whether the investment is worth making. System: retrieval architecture, prompt and context design, agent workflows, tool integration, guardrails, evaluation sets, and the failur