Who We Are

An Enterprise AI Consultancy Built for Production

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 rightcontext, 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 failure handling needed for real enterprise use.

Production: deployment, monitoring, optimisation, knowledge transfer, and an architecture the client can own, operate, and change as models improve.

Customers come to Redpumpkin when AI looks promising, but the path to production is not obvious — when the demo worked, but the data is messy; when a chatbot is not enough; when accuracy matters; when the workflow has exceptions; or when vendor recommendations do not answer the hard questions.

AWS AI Competency Partner

Part of AWS AI Competency 60 global launch partners

Zero Migration

Works with your system

Private & Cloud Agnostic

Deploy on AWS, Azure, GCP, or your private infrastructure

What We Do

From Strategy to Production AI

We cover the full lifecycle of enterprise AI adoption — from identifying the right use case to operating autonomous systems at scale.

01

Strategy & Roadmaps

We assess your data readiness, identify high-impact AI use cases, and design a phased roadmap your organization can execute. The output is a concrete plan — not a slide deck that sits in a drawer.

02

Implementation & Deployment

We build and deploy production-grade Agentic AI systems inside your trust boundary — private cloud, VPC, Kubernetes cluster, or on-prem data center. Every deployment includes in-environment data connectivity, human-in-the-loop verification, and auditable reasoning chains.

03

Managed Services

Post-deployment, we monitor, optimize, and evolve your AI systems. Your team retains full ownership while we handle model updates, performance tuning, and governance alignment as regulations change.

Industry Expertise

Six Verticals, Production-Proven

Our consulting team has delivered production AI systems across these industries, giving us the operational context to build solutions that survive contact with reality.

Banking & Financial Services

Trade finance, compliance, risk

FMCG

Supply chain, demand forecasting

Healthcare

Clinical workflows, documentation

Logistics

Fleet operations, SOP automation

Human Resources

Resume screening, talent analytics

System Monitoring

Infrastructure intelligence, alerting

What Sets Us Apart

Built for Enterprise Reality

Every deployment decision is shaped by production constraints — not demo-day optimism.

Your Data Stays Inside Your Trust Boundary

We deploy privately and cloud-agnostically — your private cloud, VPC, Kubernetes cluster, or on-prem data center. Sensitive data never leaves your security perimeter. This is non-negotiable for regulated industries like banking and healthcare.

Explainability by Design

Every AI decision produces a human-auditable reasoning chain — evidence maps, rule traces, exception reports, and review logs. Your compliance team sees exactly what the system relied on and why.

Production-Grade, Not Demo-Grade

We skip the prototype-to-pilot loop that stalls most enterprise AI. Our systems are designed for production workloads from day one — with change-resilient governance and model risk management built in.

Cloud Agnostic, Regulation Aware

We deploy across AWS, Azure, GCP, and private cloud. Every system aligns with local regulatory frameworks — OJK for banking, BPOM for healthcare, and Indonesia's data residency requirements.

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