Effective Engineering Solution (E2S) Process

RnD projects are characterized by very high uncertainty regarding technical feasibility and the identification of high-impact areas relative to key business goals. Traditional waterfall or standard agile methods (like Scrum) often fail to address the unique challenges of deep-tech innovation.

At Palaimon, we have developed the Effective Engineering Solutions (E2S) process. This proprietary methodology combines PhD-level research excellence with commercial, solution-driven project steering to transform complex technical challenges into production-ready infrastructure.

Our Positioning: The Deep-Tech Task Force

We provide Deep-Tech AI Infrastructure Engineering for Public Sector System Houses and Industrial Hidden Champions. We specialize in deploying high-performance, sovereign AI solutions on-premise, bridging the gap between generic AI software and secure, high-performance infrastructure.

The E2S Framework: From Lab to Production

Our process is designed to reduce risk and ensure certainty through a productized service model:

1. The Diagnostic: AI-Ready Check (DataLab)

Before committing to a full-scale project, we conduct a DataLab—a fixed-fee, time-boxed pre-project assessment.

  • Purpose: Establish technical feasibility and identify high-impact opportunities.
  • Deliverables: Infrastructure audit (Linux and open source software eco system), performance baseline, and a “Quick-Start” Proof of Concept (POC).
  • Value: This “Paid Discovery” phase ensures that you invest only in projects with a clear path to success.

2. The Factory: Task-Force Sprints (MVP Development)

Once feasibility is established, we move into Task-Force Sprints to build your Minimum Viable Product (MVP).

  • Methodology: Strictly time-boxed iterations with fixed budgets.
  • Prioritization: Active management using the MoSCoW method (Must/Should/Could/Won’t) to ensure continuous re-prioritization of features based on business value.
  • Focus: LLM infrastructure hardening, CUDA/PyTorch optimization, and RAG integration.

3. Deployment & Operations (TVO)

Our Towards Version One (TVO) phase ensures a smooth transition from prototype to production.

  • Services: Integration support, DevOps/CI/CD setup, and comprehensive technical documentation to avoid vendor lock-in.
  • Outcome: A scalable, maintainable, and sovereign AI system.

Why Choose Palaimon?

  • Expertise Authority: Our team (including PhD, Dipl.-Ing. RWTH, and M.Sc.engineering experts) brings scientific rigor and industrial-grade engineering to every project, as demonstrated in high-stakes initiatives like ARC-D, CityCount, and KIT2..
  • Proven Track Record: We leverage experience from R&D consortia with a total volume of >€25M (e.g., KIT2, KIOptiPack, TaBuLa-LOGplus) to manage technical complexity with industrial-grade reliability.
  • Sovereignty & Performance: We optimize the entire stack—from low-level C99/firmware and Linux kernel environments to distributed systems (Kubernetes, Kafka) and AI models—ensuring your data stays on your hardware and your hardware runs at peak performance.